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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.1066557</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Research landscape and trends of lung cancer radiotherapy: A bibliometric analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Yanhao</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1505766"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Shu</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Yaru</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Haiming</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1723451"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Lan</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Xiaotao</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1468609"/>
</contrib>
</contrib-group>    <aff id="aff1">
<institution>Department of Radiation Oncology, The Affiliated Qingdao Central Hospital of Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Andrea Lancia, San Matteo Hospital Foundation (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Giulia Maria Stella, University of Pavia, Italy; Salvatore La Mattina, Civil Hospital of Brescia, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaotao Zhang, <email xlink:href="mailto:sabr@vip.163.com">sabr@vip.163.com</email>; Yanhao Liu, <email xlink:href="mailto:1310305202@pku.edu.cn">1310305202@pku.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>1066557</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>10</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Liu, Jiang, Lin, Yu, Yu and Zhang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Jiang, Lin, Yu, Yu and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>radiotherapy is one of the major treatments for lung cancer and has been a hot research area for years. This bibliometric analysis aims to present the research trends on lung cancer radiotherapy.</p>
</sec>
<sec>
<title>Method</title>
<p>On August 31, 2022, the authors identified 9868 articles on lung cancer radiotherapy by the Web of Science (Science Citation Indexing Expanded database) and extracted their general information and the total number of citations. A bibliometric analysis was carried out to present the research landscape, demonstrate the research trends, and determine the most cited papers (top-papers) as well as top-journals on lung cancer radiotherapy. After that, the authors analyzed the recent research hotspots based on the latest publications in top-journals.</p>
</sec>
<sec>
<title>Results</title>
<p>These 9868 papers were cited a total of 268,068 times. &#x201c;Durvalumab after chemoradiotherapy in stage III non&#x2013;small-cell lung cancer&#x201d; published in 2017 by Antonia et&#xa0;al.was the most cited article (2110 citations). Among the journals, <italic>New England Journal of Medicine</italic> was most influential. Moreover, <italic>J. Clin. Oncol.</italic> and <italic>Int. J. Radiat. Oncol. Biol. Phys.</italic> was both influential and productive. Corresponding authors represented the USA (2610 articles) and China mainland (2060 articles) took part in most publications and articles with corresponding authors from Netherlands were most cited (46.12 citations per paper). Chemoradiotherapy was the hottest research area, and stereotactic body radiotherapy has become a research hotspot since 2006. Radiotherapy plus immunotherapy has been highly focused since 2019.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This bibliometric analysis comprehensively and quantitatively presents the research trends and hotspots based on 9868 relevant articles, and further suggests future research directions. The researchers can benefit in selecting journals and in finding potential collaborators. This study can help researchers gain a comprehensive picture of the research landscape, historical development, and recent hotspots in lung cancer radiotherapy and can provide inspiration for future research.</p>
</sec>
</abstract>
<kwd-group>
<kwd>bibliometric analysis</kwd>
<kwd>lung cancer</kwd>
<kwd>radiotherapy</kwd>
<kwd>chemotherapy</kwd>
<kwd>chemoradiotherapy</kwd>
<kwd>SBRT</kwd>
<kwd>SAbR</kwd>
<kwd>immunotherapy</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="101"/>
<page-count count="21"/>
<word-count count="8938"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is the leading cause of cancer-related death worldwide in both sexes (<xref ref-type="bibr" rid="B1">1</xref>). The two main pathologic subtypes of lung cancer are non-small-cell lung cancer (NSCLC, ~85% of cases) and small-cell lung cancer (SCLC, ~15% of cases) (<xref ref-type="bibr" rid="B2">2</xref>). Early lung cancer can be successfully treated but advanced disease is associated with poor prognosis as treatment options are limited. Radiotherapy is an effective treatment for lung cancer. In the 1990s, concurrent chemoradiotherapy was established as the standard of care for locally advanced unresectable lung cancer (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), with stereotactic body radiotherapy (SBRT) used for early-stage NSCLC starting in the 2000s (<xref ref-type="bibr" rid="B5">5</xref>). Today, most patients with lung cancer receive radiotherapy as part of their therapeutic regimen. Thousands of articles on lung cancer radiotherapy have been published spanning research areas such as chemoradiotherapy, SBRT, neoadjuvant radiotherapy, and adjuvant radiotherapy. It is necessary but challenging for researchers to identify the most influential papers or to stay informed of research trends. Therefore, a comprehensive and quantified study is needed that systemically summarizes important advances, presents the current research hotspots, and suggests research directions.</p>
<p>As a method for sorting published articles and establishing the citation relationship (ie, bibliographic coupling) between them, a bibliometric analysis can aid researchers to become familiar with the state of a research area (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). It is superior to review or meta-analysis in evaluating a whole academic discipline including thousands of publications (<xref ref-type="bibr" rid="B8">8</xref>). Therefore, a comprehensive bibliometric analysis of radiotherapy for lung cancer is needed. &#x200b;In the present study, we performed a bibliometric analysis based on articles published between 2000 and August 31, 2022 related to radiotherapy for lung cancer. The objectives of this study are: 1) describing the research status; 2) identifying the most influential articles (top-papers) and journals (top-journals); 3) evaluating the contribution of the countries, institutions, and authors; 4) demonstrating the research trends and latest research hotspots; 5) summarizing the important advances; and 6) suggesting future research direction.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study selection</title>
<p>The Web of Science (Science Citation Indexing Expanded database) is frequently used for bibliometric analysis. This database includes more than 10,000 high-quality journals and comprehensive citation records (<xref ref-type="bibr" rid="B6">6</xref>). In addition, its document type labels of publications were reported to be more precise than other databases such as Scopus (<xref ref-type="bibr" rid="B9">9</xref>). Therefore, we chose Web of Science (Science Citation Indexing Expanded database) for the literature search.</p>
<p>We conducted a literature search on August 31, 2022 without restrictions on language. The time span was 2000&#x2013;2022 and the article type was article. We designed the search strategy following some principles and performed multiple tests and modifications to identify as many relevant articles as possible while excluding irrelevant publications. The detailed search strategy and design principles were presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material S1</bold>
</xref>. We used Web of Science to extract and analyze the year of publication, journal, country/region, institution, total number of citations, and average number of citations per year. We then ranked the articles with the citation number to identify the 100 top-papers.</p>
</sec>
<sec id="s2_2">
<title>Statistical analysis</title>    <p>Microsoft Office Excel 2019 software (Microsoft, Redmond, WA, USA) was used for descriptive statistical analysis and to produce tables. To demonstrate and visualize the research trends, the authors classified the articles by searching for research topics (and their synonyms) in titles and abstracts. Microsoft Visual Basic for Applications was used to perform a macro for data arrangement and batch retrieval. The &#x201c;bibliometrix&#x201d; package (v4.0.0) of R software (v4.2.1) was used for bibliometric analysis and data visualization. An online platform (<uri xlink:href="https://bibliometric.com">https://bibliometric.com</uri>) was used to visualize international cooperation, and another online platform (<uri xlink:href="https://www.citexs.com">https://www.citexs.com</uri>) was used to visualize the trends of keyword frequencies. The VOSviewer v1.6.17 software was used to construct a bibliographic coupling network based on the relationship between journal, country, co-authors, and keywords, and for network visualization and analysis. The authors established a thesaurus dictionary of keywords to merge the synonyms in the network visualization. The CiteSpace software (v6.1.R2) was used to identify keywords and references with the strongest citation bursts, to construct visualization maps of co-cited references and keywords, and to plot a dual-map overlay of journals.</p>
<p>The authors identified the journals that published the top-papers, and calculated their top-papers rates (TPR, the percentage of top-papers among all relevant papers in a journal). As the latest top-paper was published in 2019, the publication time span of the papers used to calculate TPR was limited to 2000&#x2013;2019. Journals with a TPR &gt;2% were considered the top-journals on lung cancer radiotherapy. Articles on lung cancer radiotherapy published in top-journals since 2020 were identified and analyzed to assess recent research hotspots.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>The search strategy returned 9868 articles (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The total number of citations for these papers was 268,068, and the median number of citations was 10. The historical direct citation network among the articles is shown in <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1</bold>
</xref>. A total of 132,878 references were cited by these articles (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The 50 references with the strongest citation bursts are listed in <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2</bold>
</xref>. The bibliographic coupling network of the most co-cited references is shown in <xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure S3</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Article number, top-paper number, and citation number from 2000 to 2022 of the articles on lung cancer radiotherapy. <bold>(B)</bold> General information of the 9868 articles on lung cancer radiotherapy. <bold>(C)</bold> The dual-map overlay of journal categories. The curves represent the citation relationship.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g001.tif"/>
</fig>
<p>The authors ranked the papers with the citation number and identified 100 top-papers (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). These articles were cited 49,464 times, which was 18.45% of the number of papers cited on lung cancer radiotherapy. Most of the top-papers (65 papers) were published between 2000 and 2010. &#x201c;Durvalumab after chemoradiotherapy in stage III non&#x2013;small-cell lung cancer&#x201d; by Antonia et&#xa0;al., published in <italic>The New England Journal of Medicine</italic> (<italic>N. Engl. J. Med.</italic>) in 2017, had the highest average number of citations per year (436.55 times) and number of total citations (2110 times) (<xref ref-type="bibr" rid="B10">10</xref>). &#x201c;Stereotactic body radiation therapy for inoperable early stage lung cancer&#x201d; by Timmerman et&#xa0;al., published in <italic>The Journal of the American Medical Association</italic> (<italic>JAMA; J. Am. Med. Assoc.</italic>) in 2010, had the second highest number of total citations (1702 times) and sixth highest average number of citations per year (154.73 times) (<xref ref-type="bibr" rid="B11">11</xref>). &#x201c;Durvalumab plus platinum-etoposide versus platinum-etoposide in first-line treatment of extensive-stage small-cell lung cancer (CASPIAN): a randomised, controlled, open-label, phase 3 trial&#x201d; by Paz-Ares et&#xa0;al., published in <italic>Lancet</italic> in November 2019 (<xref ref-type="bibr" rid="B12">12</xref>), was the most recent publication among the top-papers. The 10 most cited articles were listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The 10 most cited papers in lung cancer radiotherapy from 2000 to 2022<sup>a</sup>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Title</th>
<th valign="top" align="center">Corresponding Author</th>
<th valign="top" align="center">Journal</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Total citations</th>
<th valign="top" align="center">Average citations per year (rank)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Durvalumab after Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer</td>
<td valign="top" align="center">Antonia SJ</td>
<td valign="top" align="center">N. Engl. J. Med.</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">2110</td>
<td valign="top" align="center">436.55 (1)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Stereotactic Body Radiation Therapy for Inoperable Early Stage Lung Cancer</td>
<td valign="top" align="center">Timmerman R</td>
<td valign="top" align="center">JAMA-J. Am. Med. Assoc.</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="center">1805</td>
<td valign="top" align="center">144.4 (6)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Cisplatin-based adjuvant chemotherapy in patients with completely resected non-small-cell lung cancer</td>
<td valign="top" align="center">LeChevalier T</td>
<td valign="top" align="center">N. Engl. J. Med.</td>
<td valign="top" align="center">2004</td>
<td valign="top" align="center">1732</td>
<td valign="top" align="center">92.79 (13)</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Overall Survival with Durvalumab after Chemoradiotherapy in Stage III NSCLC</td>
<td valign="top" align="center">Antonia SJ</td>
<td valign="top" align="center">N. Engl. J. Med.</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">1358</td>
<td valign="top" align="center">362.13 (2)</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carboplatin plus paclitaxel with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): a randomised, two-by-two factorial phase 3 study</td>
<td valign="top" align="center">Bradley JD</td>
<td valign="top" align="center">Lancet Oncol.</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">1240</td>
<td valign="top" align="center">163.52 (4)</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Adjuvant vinorelbine plus cisplatin versus observation in patients with completely resected stage IB-IIIA non-small-cell lung cancer (Adjuvant Navelbine International Trialist Association [ANITA]): a randomised controlled trial</td>
<td valign="top" align="center">Douillard JY</td>
<td valign="top" align="center">Lancet Oncol.</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="center">1153</td>
<td valign="top" align="center">72.06 (18)</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Excessive toxicity when treating central tumors in a phase II study of stereotactic body radiation therapy for medically inoperable early-stage lung cancer</td>
<td valign="top" align="center">Timmerman R</td>
<td valign="top" align="center">J. Clin. Oncol.</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="center">1074</td>
<td valign="top" align="center">67.48 (23)</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Radiotherapy plus chemotherapy with or without surgical resection for stage III non-small-cell lung cancer: a phase III randomised controlled trial</td>
<td valign="top" align="center">Albain KS</td>
<td valign="top" align="center">Lancet</td>
<td valign="top" align="center">2009</td>
<td valign="top" align="center">993</td>
<td valign="top" align="center">75.9 (15)</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Akt/protein kinase B is constitutively active in non-small cell lung cancer cells and promotes cellular survival and resistance to chemotherapy and radiation</td>
<td valign="top" align="center">Dennis PA</td>
<td valign="top" align="center">Cancer Res.</td>
<td valign="top" align="center">2001</td>
<td valign="top" align="center">812</td>
<td valign="top" align="center">38.06 (62)</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Lung Cancer: Epidemiology, Etiology, and Prevention</td>
<td valign="top" align="center">DelaCruz CS</td>
<td valign="top" align="center">Clin. Chest Med.</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">802</td>
<td valign="top" align="center">74.6 (16)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3_1">
<title>Journals</title>
<p>A total of 987 journals published articles on lung cancer radiotherapy. A dual-map overlay showed the academic discipline distribution and the citation relationship of these journals (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). This map revealed that articles on molecular/biology/immunology or medicine/medical/clinical mainly cited articles on molecular/biology/genetics or health/nursing/medicine. Among the journals, <italic>International Journal of Radiation Oncology Biology Physics</italic> (<italic>Int. J. Radiat. Oncol. Biol. Phys.</italic>) (701 articles), <italic>Lung Cancer</italic> (589 papers), and <italic>Radiotherapy and Oncology</italic> (448 papers) were the top three journals with the most articles (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Among the 10 most productive journals, <italic>Journal of Clinical Oncology (J. Clin. Oncol.)</italic> had the highest average number of citations per paper (159.12), the average number of citations per article per year (15.08) and impact factor (50.72), which indicated that it was both productive and influential (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). <italic>Int. J. Radiat. Oncol. Biol. Phys.</italic> Had the highest total citation (39340) and local citation (30064). Papers in <italic>Frontiers in Oncology</italic> had an average publication year of 2020.6 and most of them were published after 2018, which indicated that <italic>Frontiers in Oncology</italic> is a rising journal in this area. Moreover, the top 10 journals with highest citation per paper per year and at least five articles were identified (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). <italic>New England Journal of Medicine (N. Engl. J. Med.)</italic> had the highest citation per paper per year (191.09). In particular, only <italic>J. Clin. Oncol.</italic> was both highly productive and influential in this area. The bibliographic coupling map of journals related to lung cancer radiotherapy was conducted (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>
<bold>)</bold>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Article numbers and average publication year of the articles of the top-10 productive journals. <bold>(B)</bold> Bibliographic coupling of journals with at least ten papers related to lung cancer radiotherapy. <bold>(C)</bold> Top-paper number and average citation per paper per year of the journals with at least two top-papers. <bold>(D)</bold> Bibliographic coupling of journals with top-papers related to lung cancer radiotherapy. In the bibliographic coupling maps, the circle size represents the number of papers. The breadth of the curves represents the connection strength. The journals in the same color are of similar research areas.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The top 10 productive journals in lung cancer radiotherapy from 2000 to 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Journals</th>
<th valign="top" align="center">Paper number</th>
<th valign="top" align="center">Total citation</th>
<th valign="top" align="center">Citation per paper</th>
<th valign="top" align="center">Citation per paper per year<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</th>
<th valign="top" align="center">Average publication year</th>
<th valign="top" align="center">Local citation<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</th>
<th valign="top" align="center">IF (2021)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Int. J. Radiat. Oncol. Biol. Phys.</td>
<td valign="top" align="center">701</td>
<td valign="top" align="center">39340</td>
<td valign="top" align="center">56.12</td>
<td valign="top" align="center">4.89</td>
<td valign="top" align="center">2010.67</td>
<td valign="top" align="center">30064</td>
<td valign="top" align="center">8.01</td>
</tr>
<tr>
<td valign="top" align="left">Lung Cancer</td>
<td valign="top" align="center">589</td>
<td valign="top" align="center">15551</td>
<td valign="top" align="center">26.40</td>
<td valign="top" align="center">2.75</td>
<td valign="top" align="center">2010.40</td>
<td valign="top" align="center">2142</td>
<td valign="top" align="center">6.08</td>
</tr>
<tr>
<td valign="top" align="left">Radiother. Oncol.</td>
<td valign="top" align="center">448</td>
<td valign="top" align="center">15439</td>
<td valign="top" align="center">34.46</td>
<td valign="top" align="center">3.95</td>
<td valign="top" align="center">2013.69</td>
<td valign="top" align="center">10428</td>
<td valign="top" align="center">6.90</td>
</tr>
<tr>
<td valign="top" align="left">J. Thorac. Oncol.</td>
<td valign="top" align="center">357</td>
<td valign="top" align="center">14390</td>
<td valign="top" align="center">40.31</td>
<td valign="top" align="center">5.38</td>
<td valign="top" align="center">2012.57</td>
<td valign="top" align="center">9162</td>
<td valign="top" align="center">20.12</td>
</tr>
<tr>
<td valign="top" align="left">Clin. Lung Cancer</td>
<td valign="top" align="center">265</td>
<td valign="top" align="center">3615</td>
<td valign="top" align="center">13.64</td>
<td valign="top" align="center">2.52</td>
<td valign="top" align="center">2016.26</td>
<td valign="top" align="center">2387</td>
<td valign="top" align="center">4.84</td>
</tr>
<tr>
<td valign="top" align="left">Radiat. Oncol.</td>
<td valign="top" align="center">216</td>
<td valign="top" align="center">3876</td>
<td valign="top" align="center">17.94</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2015.86</td>
<td valign="top" align="center">2148</td>
<td valign="top" align="center">4.31</td>
</tr>
<tr>
<td valign="top" align="left">J. Clin. Oncol.</td>
<td valign="top" align="center">153</td>
<td valign="top" align="center">24346</td>
<td valign="top" align="center">159.12</td>
<td valign="top" align="center">15.08</td>
<td valign="top" align="center">2008.12</td>
<td valign="top" align="center">23597</td>
<td valign="top" align="center">50.72</td>
</tr>
<tr>
<td valign="top" align="left">Anticancer Res.</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">1218</td>
<td valign="top" align="center">8.64</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">2013.61</td>
<td valign="top" align="center">1197</td>
<td valign="top" align="center">2.44</td>
</tr>
<tr>
<td valign="top" align="left">Ann. Thorac. Surg.</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">5127</td>
<td valign="top" align="center">36.62</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">2011.63</td>
<td valign="top" align="center">5225</td>
<td valign="top" align="center">5.10</td>
</tr>
<tr>
<td valign="top" align="left">Front. Oncol.</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">355</td>
<td valign="top" align="center">2.73</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">2020.6</td>
<td valign="top" align="center">775</td>
<td valign="top" align="center">5.74</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>Citation number in the current dataset (papers in lung cancer radiotherapy from 2000 to 2022).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The top 10 journals with highest citation per paper per year in lung cancer radiotherapy from 2000 to 2022<xref ref-type="table-fn" rid="fnT3_1">
<sup>a</sup>
</xref>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Journals</th>
<th valign="top" align="center">Paper number</th>
<th valign="top" align="center">Top-Paper number</th>
<th valign="top" align="center">Top-Paper rate<xref ref-type="table-fn" rid="fnT3_2">
<sup>b</sup>
</xref>
</th>
<th valign="top" align="center">Total citation</th>
<th valign="top" align="center">Citation per paper</th>
<th valign="top" align="center">Citation per paper per year</th>
<th valign="top" align="center">Local citation<xref ref-type="table-fn" rid="fnT3_3">
<sup>c</sup>
</xref>
</th>
<th valign="top" align="center">IF (2021)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>N. Engl. J. Med.</italic>
</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">6269</td>
<td valign="top" align="center">1253.80</td>
<td valign="top" align="center">191.09</td>
<td valign="top" align="center">8423</td>
<td valign="top" align="center">176.08</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Lancet</italic>
</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">85.71%</td>
<td valign="top" align="center">3635</td>
<td valign="top" align="center">519.29</td>
<td valign="top" align="center">75.47</td>
<td valign="top" align="center">3070</td>
<td valign="top" align="center">202.73</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Lancet Oncol.</italic>
</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">31.03%</td>
<td valign="top" align="center">7461</td>
<td valign="top" align="center">257.28</td>
<td valign="top" align="center">41.57</td>
<td valign="top" align="center">4248</td>
<td valign="top" align="center">54.43</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>JAMA Oncol.</italic>
</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8.33%</td>
<td valign="top" align="center">1846</td>
<td valign="top" align="center">76.92</td>
<td valign="top" align="center">24.80</td>
<td valign="top" align="center">926</td>
<td valign="top" align="center">33.01</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>J. Clin. Oncol.</italic>
</td>
<td valign="top" align="center">153</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">18.95%</td>
<td valign="top" align="center">24346</td>
<td valign="top" align="center">159.12</td>
<td valign="top" align="center">15.08</td>
<td valign="top" align="center">23597</td>
<td valign="top" align="center">50.72</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>JNCI</italic>
</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">21.43%</td>
<td valign="top" align="center">2034</td>
<td valign="top" align="center">145.29</td>
<td valign="top" align="center">10.38</td>
<td valign="top" align="center">1815</td>
<td valign="top" align="center">11.82</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>J. Nucl. Med.</italic>
</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">7.69%</td>
<td valign="top" align="center">3005</td>
<td valign="top" align="center">77.05</td>
<td valign="top" align="center">9.39</td>
<td valign="top" align="center">1734</td>
<td valign="top" align="center">11.08</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Clin. Chest Med.</italic>
</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11%</td>
<td valign="top" align="center">933</td>
<td valign="top" align="center">103.67</td>
<td valign="top" align="center">9.36</td>
<td valign="top" align="center">171</td>
<td valign="top" align="center">4.97</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Radiology</italic>
</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7.14%</td>
<td valign="top" align="center">1199</td>
<td valign="top" align="center">85.64</td>
<td valign="top" align="center">8.49</td>
<td valign="top" align="center">1952</td>
<td valign="top" align="center">29.15</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Cancer Res.</italic>
</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.90%</td>
<td valign="top" align="center">2993</td>
<td valign="top" align="center">103.21</td>
<td valign="top" align="center">7.84</td>
<td valign="top" align="center">4996</td>
<td valign="top" align="center">13.31</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT3_1">
<label>a</label>
<p>Only journals with at least five papers related to lung cancer radiotherapy were included.</p>
</fn>
<fn id="fnT3_2">
<label>b</label>
<p>Percentage of top- papers among all papers in a journal. The time span was from 2010 to 2019 (the publication year of the lastest top- paper).</p>
</fn>
<fn id="fnT3_3">
<label>c</label>
<p>Citation number in the current dataset (papers in lung cancer radiotherapy from 2000 to 2022).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The 100 top-papers were published in 28 journals. Among them, 13 journals published at least 2 top-papers (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). The bibliographic coupling map of journals with top-papers was conducted (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>
<bold>)</bold>. <italic>J. Clin. Oncol.</italic> published most top-papers (29 papers), followed by <italic>Int. J. Radiat. Oncol. Biol. Phys.</italic> (17 papers) and <italic>Lancet Oncology</italic> (9 papers). The TPRs of the 28 journals were calculated (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). A total of 20 journals with a TPR of at least 2% were therefore considered as top-journals in this area. Papers in this area published in top-journals are highly likely to be influential. Notably, the TPR of <italic>N. Engl. J. Med.</italic> was 100%. Since 2020, 110 articles have been published in the top-journals (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Countries/Regions</title>
<p>Researchers from 100 countries/regions contributed to the 9868 articles. However, the corresponding authors of these articles only from 71 of the countries/regions and only 48 countries/regions contributed to at least 10 articles. The corresponding authors from the United States contributed the most publications (2610 papers), followed by the corresponding authors from China Mainland (2060 papers) and Japan (989 papers) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Papers by corresponding authors from the United States were cited as high as 114,594 times. The citation per paper of Netherlands was the highest (46.12). Authors of most articles were from single countries. International collaboration was more common in North American or European countries than in Asian countries. A chordal graph and a network world map were conducted to visualize the international collaboration in this area (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, D</bold>
</xref>). A network visualization map showed the co-author relationship of the countries/regions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Most articles by low-income countries/regions were published more recently than those of other countries.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The top 10 productive countries of corresponding authors of papers in lung cancer radiotherapy from 2000 to 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Countries</th>
<th valign="top" align="center">Paper number</th>
<th valign="top" align="center">Percentage (N/2941)</th>
<th valign="top" align="center">Multiple-country paper rate<xref ref-type="table-fn" rid="fnT4_2">
<sup>b</sup>
</xref>
</th>
<th valign="top" align="center">Total citation</th>
<th valign="top" align="center">Citation per paper</th>
<th valign="top" align="center">Top-paper number<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</th>
<th valign="top" align="center">Top-paper rate</th>
<th valign="top" align="center">Multiple-country top-paper rate</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">2610</td>
<td valign="top" align="center">26.45%</td>
<td valign="top" align="center">17.43%</td>
<td valign="top" align="center">114594</td>
<td valign="top" align="center">43.91</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">1.95%</td>
<td valign="top" align="center">39.22%</td>
</tr>
<tr>
<td valign="top" align="left">China Mainland</td>
<td valign="top" align="center">2060</td>
<td valign="top" align="center">20.88%</td>
<td valign="top" align="center">8.93%</td>
<td valign="top" align="center">24484</td>
<td valign="top" align="center">11.89</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.05%</td>
<td valign="top" align="center">0.00%</td>
</tr>
<tr>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">989</td>
<td valign="top" align="center">10.02%</td>
<td valign="top" align="center">3.84%</td>
<td valign="top" align="center">21871</td>
<td valign="top" align="center">22.11</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.81%</td>
<td valign="top" align="center">12.50%</td>
</tr>
<tr>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">525</td>
<td valign="top" align="center">5.32%</td>
<td valign="top" align="center">25.90%</td>
<td valign="top" align="center">12758</td>
<td valign="top" align="center">24.30</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.76%</td>
<td valign="top" align="center">0.00%</td>
</tr>
<tr>
<td valign="top" align="left">Korea</td>
<td valign="top" align="center">447</td>
<td valign="top" align="center">4.53%</td>
<td valign="top" align="center">7.38%</td>
<td valign="top" align="center">8096</td>
<td valign="top" align="center">18.11</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="center">443</td>
<td valign="top" align="center">4.49%</td>
<td valign="top" align="center">32.96%</td>
<td valign="top" align="center">20433</td>
<td valign="top" align="center">46.12</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.81%</td>
<td valign="top" align="center">50.00%</td>
</tr>
<tr>
<td valign="top" align="left">France</td>
<td valign="top" align="center">326</td>
<td valign="top" align="center">3.30%</td>
<td valign="top" align="center">12.58%</td>
<td valign="top" align="center">10997</td>
<td valign="top" align="center">33.73</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.84%</td>
<td valign="top" align="center">50.00%</td>
</tr>
<tr>
<td valign="top" align="left">Italy</td>
<td valign="top" align="center">310</td>
<td valign="top" align="center">3.14%</td>
<td valign="top" align="center">16.45%</td>
<td valign="top" align="center">6327</td>
<td valign="top" align="center">20.41</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.65%</td>
<td valign="top" align="center">50.00%</td>
</tr>
<tr>
<td valign="top" align="left">Canada</td>
<td valign="top" align="center">302</td>
<td valign="top" align="center">3.06%</td>
<td valign="top" align="center">27.15%</td>
<td valign="top" align="center">8868</td>
<td valign="top" align="center">29.36</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.32%</td>
<td valign="top" align="center">100.00%</td>
</tr>
<tr>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="center">282</td>
<td valign="top" align="center">2.86%</td>
<td valign="top" align="center">19.50%</td>
<td valign="top" align="center">9053</td>
<td valign="top" align="center">32.10</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">2.48%</td>
<td valign="top" align="center">42.86%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT4_1">
<label>a</label>
<p>Besides the countries mentioned above, corresponding authors from other seven countries contributed nine top-papers.</p>
</fn>
<fn id="fnT4_2">
<label>b</label>
<p>Percentage of multiple-country top-papers among all papers of a country.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> Paper number, top-paper number, and average citations per paper of corresponding authors&#x2019; countries. <bold>(B)</bold> Network mapping of international collaboration base on 9868 papers related to lung cancer radiotherapy. <bold>(C)</bold> Network mapping of international collaboration base on 100 top-papers related to lung cancer radiotherapy. <bold>(D)</bold> Visualization world map of publications and collaboration relationship.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<bold>(A)</bold> Network visualization of countries with papers related to lung cancer radiotherapy. <bold>(B)</bold> Network visualization of countries with top-papers related to lung cancer radiotherapy. <bold>(C)</bold> Network visualization of institutions with at least 20 articles related to lung cancer radiotherapy. <bold>(D)</bold> Network visualization of institutions with at least 2 top-papers related to lung cancer radiotherapy. The circle size represents the number of papers. The breadth of the curves represents the connection strength. The institutions in the same color have stronger collaboration with each other.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g004.tif"/>
</fig>
<p>The top-papers were published by authors from 33 countries/regions and corresponding authors from 16 countries/regions. The corresponding auhors from the United States published more than a half of the top-papers (51 papers). International collaboration was common in the-top papers (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). A network visualization map showed the co-author relationship of the countries/regions with the top-papers (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Institutions</title>
<p>The authors of the 9868 articles represented 8109 institutions. The University of Texas MD Anderson Cancer Center contributed most articles (971 papers) among institutions (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Six of the 10 most productive institutions were in the United States and the two were in China Mainland. A collaboration network and a cluster analysis of the co-author relationship of institutions were conducted (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Most institutions preferred domestic collaboration over international collaboration. International collaboration was common between the institutions with the strongest research strength in their countries.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>The top 10 institutions with the most papers or top-papers on lung cancer radiotherapy from 2000 to 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Institutions</th>
<th valign="top" align="center">Country/Region</th>
<th valign="top" align="center">Paper number<xref ref-type="table-fn" rid="fnT5_1">
<sup>a</sup>
</xref>
</th>
<th valign="top" align="center">Percentage (N/9868, %)</th>
<th valign="top" align="center">Top-paper number</th>
<th valign="top" align="center">Top-paper rate</th>
<th valign="top" align="center">Top-paper number rank</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Univ Texas MD Anderson Canc Ctr</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">971</td>
<td valign="top" align="center">9.84%</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">1.85%</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Fudan Univ</td>
<td valign="top" align="center">China Mainland</td>
<td valign="top" align="center">397</td>
<td valign="top" align="center">4.02%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">Mem Sloan Kettering Canc Ctr</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">376</td>
<td valign="top" align="center">3.81%</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.39%</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Sungkyunkwan Univ</td>
<td valign="top" align="center">Korea</td>
<td valign="top" align="center">352</td>
<td valign="top" align="center">3.57%</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.14%</td>
<td valign="top" align="center">43</td>
</tr>
<tr>
<td valign="top" align="left">Netherlands Canc Inst</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">317</td>
<td valign="top" align="center">3.21%</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3.47%</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Shandong Univ</td>
<td valign="top" align="center">China Mainland</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">3.19%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">Duke Univ</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">3.05%</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.66%</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">Univ Texas</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">297</td>
<td valign="top" align="center">3.01%</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4.04%</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Washington Univ</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">287</td>
<td valign="top" align="center">2.91%</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">5.23%</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Univ Michigan</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">273</td>
<td valign="top" align="center">2.77%</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.83%</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">Indiana Univ</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">0.74%</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">15.07%</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Vrije Univ Amsterdam</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">183</td>
<td valign="top" align="center">1.85%</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">6.01%</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Natl Yang Ming Univ</td>
<td valign="top" align="center">Taiwan</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">0.63%</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">14.52%</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Univ Colorado</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">1.42%</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6.43%</td>
<td valign="top" align="center">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT5_1">
<label>a</label>
<p>All papers were included, without limitation of corresponding author&#x2019;s institutions.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A total of 451 institutions contributed to top-papers. The three leading productive institutions of the top-papers were the University of Texas MD Anderson Cancer Center (18 papers), Washington University (15 papers), and University of Texas (12 papers). In particular, Indiana University (15.07%) and National Yang-Ming University (14.52%) had high TPRs. Although some institutions in China published many articles, their top-paper number was low. A collaboration network and cluster analysis of the co-author relationship of institutions with top-papers was conducted (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). In contrast to the clusters in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>, the cluster boundaries of the institutions with top-papers were obscure. Collaboration between institutions with top-papers was common and less restricted by geographical parameters. However, the collaboration between Japanese institutions and others remained rare.</p>
</sec>
<sec id="s3_4">
<title>Authors</title>
<p>A total of 33630 authors contributed to the 9868 articles. Komaki R was the author with the highest citations (10873 citations) and H-index (<xref ref-type="bibr" rid="B13">13</xref>) (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). Choy H was the most local cited author (2175 local citations). Besides, some researchers such as Senan S, Paulus R, Chang JY, and Nagata Y were also highly impactful in this area. The production and citation number over time of the 15 most cited authors was visualized (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>
<bold>)</bold>. Some of the most cited authors, such as Komaki R and Choy H, consistently produced articles in the last two decades. Moreover, the most impactful articles by some other authors, such as Lee KH and Paz-Ares L, have been published in recent years. Notably, although only published 11 papers related to lung cancer radiotherapy, Dennis PA was the 10th cited author (4677 citations). A collaboration network map and clustering analysis showed the co-authors relationship (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Researchers in Asia preferred to collaborate with researchers in their own countries rather than with foreign researchers.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>The most impactful authors related to lung cancer radiotherapy from 2000 to 2022<xref ref-type="table-fn" rid="fnT6_1">
<sup>a</sup>
</xref>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Name</th>
<th valign="top" align="center">Paper number</th>
<th valign="top" align="center">Total citation</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Local citation</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">H-index</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Top-paper number</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Komaki R</td>
<td valign="top" align="center">136</td>
<td valign="top" align="center">10873</td>
<td valign="top" align="center">Choy H</td>
<td valign="top" align="center">2175</td>
<td valign="top" align="center">Komaki R</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">Choy H</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Choy H</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">7769</td>
<td valign="top" align="center">Senan S</td>
<td valign="top" align="center">1734</td>
<td valign="top" align="center">Senan S</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">Senan S</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Senan S</td>
<td valign="top" align="center">102</td>
<td valign="top" align="center">7418</td>
<td valign="top" align="center">Paulus R</td>
<td valign="top" align="center">1625</td>
<td valign="top" align="center">Chang JY</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">Nagata Y</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Le Chevalier T</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">6175</td>
<td valign="top" align="center">Komaki R</td>
<td valign="top" align="center">1566</td>
<td valign="top" align="center">Liao Z</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">Slotman BJ</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">Cox JD</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">5884</td>
<td valign="top" align="center">Bradley JD</td>
<td valign="top" align="center">1219</td>
<td valign="top" align="center">Cox JD</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">Komaki R</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Paulus R</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">5877</td>
<td valign="top" align="center">Timmerman R</td>
<td valign="top" align="center">1168</td>
<td valign="top" align="center">De Ruysscher D</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">Lagerwaard FJ</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Lee KH</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4874</td>
<td valign="top" align="center">De Ruysscher D</td>
<td valign="top" align="center">1013</td>
<td valign="top" align="center">Lambin P</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">Le Chevalier T</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Chang JY</td>
<td valign="top" align="center">94</td>
<td valign="top" align="center">4811</td>
<td valign="top" align="center">Green MR</td>
<td valign="top" align="center">923</td>
<td valign="top" align="center">Choy H</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">Paulus R</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Liao Z</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">4787</td>
<td valign="top" align="center">Bezjak A</td>
<td valign="top" align="center">838</td>
<td valign="top" align="center">Bradley JD</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">Hayakawa K</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Dennis PA</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">4677</td>
<td valign="top" align="center">Hu C</td>
<td valign="top" align="center">837</td>
<td valign="top" align="center">Lagerwaard FJ</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">Hiraoka M</td>
<td valign="top" align="center">4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT6_1">
<label>a</label>
<p>As many authors had duplicate English names (e.g. Wang Y), the most productive authors were not presented.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<bold>(A)</bold> The top-15 cited authors&#x2019; production and citation over time. The node size represents the paper number and the color represents the average citations per paper. <bold>(B)</bold> Network visualization of authors with at least 20 papers related to lung cancer radiotherapy. <bold>(C)</bold> Network visualization of authors with at least 2 top-papers related to lung cancer radiotherapy. The circle size represents the number of papers. The breadth of the curves represents the connection strength. The authors in the same color have stronger collaboration with each other.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g005.tif"/>
</fig>
<p>Analysis of corresponding authors highlighted the main contributors to the studies. A total of 5694 corresponding authors were recognized. As corresponding author, Yu JM contributed to most papers (43 papers) (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). Timmerman R was the most cited corresponding author with 8 articles (3767 citations). In particular, Antonia SJ was the corresponding author of only two articles, but these articles were cited as high as 3468 times. Moreover, Chang JY, the corresponding author of 33 articles (2104 citations), was both highly productive and influential.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>The top 10 productive and cited corresponding authors in lung cancer radiotherapy from 2000 to 2022.</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<td valign="top" align="left">
<bold>Most productive corresponding author</bold>
</td>
<td valign="top" align="center">
<bold>Paper number</bold>
</td>
<td valign="top" align="center">
<bold>Total citation</bold>
</td>
<td valign="top" align="center">
<bold>Average citations per paper</bold>
</td>
<td valign="top" align="center">
<bold>Top-paper number</bold>
</td>
<td valign="top" align="center">
<bold>Most cited corresponding author</bold>
</td>
<td valign="top" align="center">
<bold>Paper number</bold>
</td>
<td valign="top" align="center">
<bold>Total citation</bold>
</td>
<td valign="top" align="center">
<bold>Average citations per paper</bold>
</td>
<td valign="top" align="center">
<bold>Top-paper number</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Yu JM</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">695</td>
<td valign="top" align="center">16.16</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Timmerman R</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3767</td>
<td valign="top" align="center">470.88</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Rades D</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">464</td>
<td valign="top" align="center">11.90</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Antonia SJ</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3468</td>
<td valign="top" align="center">1734.00</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Liao ZX</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">1902</td>
<td valign="top" align="center">52.83</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Bradley JD</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">2887</td>
<td valign="top" align="center">160.39</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Kong FM</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">1696</td>
<td valign="top" align="center">48.46</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Chang JY</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">2104</td>
<td valign="top" align="center">63.76</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Lu B</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">1380</td>
<td valign="top" align="center">40.59</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Lagerwaard FJ</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">2061</td>
<td valign="top" align="center">128.81</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Chang JY</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">2104</td>
<td valign="top" align="center">63.76</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Onishi H</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">2029</td>
<td valign="top" align="center">253.63</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Li BS</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">533</td>
<td valign="top" align="center">18.38</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Liao ZX</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">1902</td>
<td valign="top" align="center">52.83</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">DeRuysscher D</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">1765</td>
<td valign="top" align="center">65.37</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">LeChevalier T</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1797</td>
<td valign="top" align="center">599.00</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Wang LH</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">548</td>
<td valign="top" align="center">21.08</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">DeRuysscher D</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">1765</td>
<td valign="top" align="center">65.37</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Jeremic B</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">249</td>
<td valign="top" align="center">10.83</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">Kong FM</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">1696</td>
<td valign="top" align="center">48.46</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 1246 authors contributed to the 100 top-papers. Choy H and Senan S was the most productive authors of the top-papers (7 papers each), followed by Nagata Y and Slotman BJ (5 papers each). A collaboration network and clustering analysis showed the co-author relationship of the top-papers (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). International collaboration between these authors was common. A total of 12 researchers were corresponding authors of at least two top-papers (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>). Timmerman R, Onishi H, and Lagerwaard FJ was the most productive corresponding authors of top-papers (3 top-papers each).</p>
</sec>
<sec id="s3_5">
<title>Keywords</title>
<p>The authors analyzed the hot keywords in multiple dimensions based on the author-selected keywords and keyword-plus identified by Web of Science. The frequency rank variation of keyword occurrence in lung cancer radiotherapy between 2000 and 2022 was shown in <xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure S4</bold>
</xref>. &#x201c;immunotherapy&#x201d;, &#x201c;SBRT&#x201d;, and &#x201c;brain metastases&#x201d; are considered as emerging hot keywords. The authors identified the top 50 keywords with the strongest citation bursts (<xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figure S5</bold>
</xref>
<bold>)</bold>. In recent years, &#x201c;immunotherapy&#x201d; and &#x201c;SBRT&#x201d; have become hotspots. The keyword co-occurrence network of the 9868 articles was conducted (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The top-keywords included &#x201c;chemoradiotherapy&#x201d;, &#x201c;clinical trial&#x201d;, &#x201c;prognostic-factors&#x201d;, &#x201c;cisplatin&#x201d;, and &#x201c;PET/CT&#x201d;. The emerging keywords included &#x201c;immune-related adverse events&#x201d;, &#x201c;SBRT&#x201d;, &#x201c;immune checkpoint inhibitors&#x201d;, &#x201c;EMT&#x201d;, &#x201c;autophagy&#x201d;, &#x201c;proton therapy&#x201d;, and &#x201c;oligometastasis&#x201d;.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<bold>(A)</bold> Network visualization of keywords that occurred at least 50 times in the 9868 articles. <bold>(B)</bold> Network visualization of keywords that occurred at least twice in the top-papers. <bold>(C)</bold> Network visualization of keywords in articles published in top-journals between 2020 and 2022. The circle size represents the number of papers. The breadth of the curves represents the connection strength.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g006.tif"/>
</fig>
<p>The keyword co-occurrence network of the top-papers was conducted (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The newly utilized keywords included &#x201c;randomized trial&#x201d;, &#x201c;sequential chemoradiotherapy&#x201d;, &#x201c;leptomeningeal metastases&#x201d;, &#x201c;hyperfractionated radiotherapy&#x201d;, and &#x201c;liver metastases&#x201d;. The keyword co-occurrence network of the 110 recently published articles in top-journals was conducted (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). The emerging hot keywords included &#x201c;acquired-resistance&#x201d;, &#x201c;AMPK&#x201d;, &#x201c;atezolizumab&#x201d;, &#x201c;ATM polymorphisms&#x201d;, &#x201c;C-11-methionine PET&#x201d;, &#x201c;cardiac toxicity&#x201d;, &#x201c;N2 disease&#x201d;, and &#x201c;consolidation chemotherapy&#x201d;.</p>
</sec>
<sec id="s3_6">
<title>Research trends</title>
<p>The related research topics of the 9868 articles were identified based on titles and abstracts. The research topic variation between 2000 and 2022 were analyzed and visualized (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). &#x201c;Chemotherapy&#x201d; was always the most popular topic in articles related to lung cancer radiotherapy, followed by &#x201c;metastatic lung cancer&#x201d; and &#x201c;postoperative radiotherapy&#x201d;. The number of articles on these topics has gradually increased over the past two decades. The number of articles related to immunotherapy has increased rapidly in recent years, and papers published in 2018 and 2019 were impactful. The influential pioneer articles in SBRT/SABR were published prior to 2010, and the paper number has increased significantly since then.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>
<bold>(A)</bold> Publication number and citations per paper per year of different research area related to lung cancer radiotherapy. The node size represents the paper number and the color represents the average citations per paper. <bold>(B)</bold> The timeline view for co-cited references related to lung cancer radiotherapy between 2000 and 2022. The node size represents the citation number of the reference. The curves between the nodes indicated co-citation relationships. Yellow nodes represent new papers and red nodes represent old ones.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1066557-g007.tif"/>
</fig>
<p>A timeline view of the co-cited reference variation was conducted (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). The references were classified into 16 clusters. The clusters with large yellow nodes, which represented many newly published articles, were recent research hotspots. The recent popular topics included &#x201c;SBRT&#x201d;, &#x201c;advanced NSCLC&#x201d;, &#x201c;metastatic NSCLC&#x201d;, and &#x201c;extensive-stage SCLC (E-SCLC)&#x201d;.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Radiotherapy is a noninvasive therapeutic modality that has been used for the local treatment of lung cancer since the early 20th century. Early radiotherapy techniques were not conformal and resulted in severe complications. In the 1990s, three-dimensional conformal radiotherapy (3D-CRT) and intensity-modulated radiation therapy (IMRT) were applied to treat carcinomas (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). With higher radiation doses delivered to tumors and less toxicity, 3D-CRT and IMRT constituted major advances in the radiotherapy-based treatment of lung cancer. In the 2000s, SBRT&#x2014;a highly accurate technology&#x2014;was successfully used to treat early-stage NSCLC (<xref ref-type="bibr" rid="B5">5</xref>). In recent years, the combination of radiotherapy with ICIs has further improved the prognosis of patients.</p>
<sec id="s4_1">
<title>Chemoradiotherapy for NSCLC</title>
<p>With improvements in the efficacy and safety of radiotherapy, radical radiotherapy became feasible. However, as a local treatment, radiotherapy alone may not prolong overall survival (OS). A randomized trial conducted in 1990 showed that induction chemotherapy plus radiotherapy was superior to radiotherapy alone in stage III NSCLC (<xref ref-type="bibr" rid="B16">16</xref>). Subsequent trials explored the optimal chemotherapeutic agents and doses, radiotherapy doses and fractions, and chemoradiotherapy order (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). A randomized phase 3 trial conducted in 1999 showed that concurrent chemoradiotherapy (CCRT) significantly improved response and OS rates compared to sequential treatment in selected patients with unresectable stage III NSCLC (<xref ref-type="bibr" rid="B19">19</xref>), which was confirmed by later trials (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Since then, platinum-based CCRT has been the standard of care for unresectable stage III NSCLC.</p>
<p>Several studies have aimed to explore whether CCRT plus induction chemotherapy, consolidation chemotherapy, or tyrosine kinase inhibitors (TKIs) could further improve the prognosis of this patient population, but the results were negative (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). The results of a randomized phase 3 trial (RTOG 0617) showed that high-dose (74 Gy) radiotherapy with concurrent chemotherapy was not superior to standard CCRT (60 Gy) for stage III NSCLC patients; moreover, the addition of cetuximab provided no additional benefit (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In 2021, a phase 2 randomized trial (NRG-LU001) evaluated the efficacy of metformin plus CCRT for stage III NSCLC. However, the addition of metformin did not improve the prognosis (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Proton radiotherapy had some physical superiority to photon radiotherapy and was first used for the treatment of lung cancer in the 2000s (<xref ref-type="bibr" rid="B28">28</xref>). In 2011, a retrospective study compared proton-based CCRT with photon-based CCRT for locally advanced NSCLC. This study suggested that proton-based CCRT could deliver higher dose to tumor while resulting in lower toxicity (<xref ref-type="bibr" rid="B29">29</xref>). A phase 2 trial demonstrated proton-based CCRT had encouraging efficacy and safety for stage III NSCLC (<xref ref-type="bibr" rid="B30">30</xref>). In 2017, a propensity matched analysis based on National Cancer Database suggested that proton radiotherapy result in longer OS than photon radiotherapy for patients with stage II or III NSCLC (<xref ref-type="bibr" rid="B31">31</xref>). A randomized trial compared passive scattering proton therapy plus concurrent chemotherapy with photon-based CCRT for inoperable NSCLC, however, the results showed that the two approaches resulted in similar incidences of grade 3 radiation pneumonitis and local failure (<xref ref-type="bibr" rid="B32">32</xref>). Hypofractional radiotherapy might overcome the irradiation resistance of cancer, but hypofractional photon therapy resulted in prohibitive toxicities (<xref ref-type="bibr" rid="B33">33</xref>). Recently, some studies evaluated hypofractional proton therapy plus chemotherapy for stage III NSCLC. The efficacy was promising and the toxicity was acceptable, however, late serious adverse events occurred in some patients (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Chemoradiotherapy is the most active lung cancer research area based on the number of published papers. CCRT has been the standard treatment for stage III NSCLC for years. In recent years, the optimization of CCRT is highly focused. Proton therapy can deliver a higher dose to the tumor than photon radiotherapy, but more clinical evidence is needed to further clarify the efficacy and safety, and determine the optimal dose fraction. Immune checkpoint inhibitors (ICIs) plus CCRT achieves encouraging efficacy (<xref ref-type="bibr" rid="B10">10</xref>), further studies are needed demonstrate the optimal timing and strategy of combining ICIs with CCRT.</p>
</sec>
<sec id="s4_2">
<title>SBRT/SABR for early-stage NSCLC</title>
<p>SBRT, also known as stereotactic ablative radiotherapy (SABR), is used for the treatment of early-stage NSCLC. The first clinical trial of SBRT for early-stage NSCLC, which was reported in 2005, demonstrated excellent efficacy and safety (<xref ref-type="bibr" rid="B5">5</xref>); and a phase 2 trial conducted in 2010 showed that SBRT with a radiation dose of 54 Gy delivered in 3 fractions for early-stage NSCLC yielded a 3-year local control rate of 97.6%, 3-year OS rate of 55.8%, and grade 3/4 toxicity rate of 16.3% (<xref ref-type="bibr" rid="B11">11</xref>). This article was cited 1805 times and firstly established the standard of SBRT in treating inoperable early-stage NSCLC. A randomized phase 3 trial (TROG 09.02 CHISEL) reported that SABR resulted in superior local disease control without increased toxicity compared to standard radiotherapy in patients with peripheral stage I NSCLC (<xref ref-type="bibr" rid="B35">35</xref>). The most common recurrent pattern of SBRT for early-stage NSCLC was distant recurrences (<xref ref-type="bibr" rid="B36">36</xref>). There were two important questions concerning SBRT for early-stage NSCLC: 1) patient selection and dose limitation in the treatment of central lesions; and 2) the noninferiority of SBRT to surgery for operable disease (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>SBRT (60&#x2013;66 Gy in three fractions) has shown excessive toxicity in the treatment of early-stage NSCLC near the central airway (<xref ref-type="bibr" rid="B37">37</xref>); therefore, the dose and number of fractions must be optimized to improve safety. Haasbeek et&#xa0;al. (2011) used SBRT with a total dose of 60 Gy in eight fractions to treat 63 patients with central early-stage NSCLC, with 4 patients experiencing grade 3 chest wall pain or dyspnea (<xref ref-type="bibr" rid="B38">38</xref>). Chang et&#xa0;al. (2008, 2014) found that early-stage NSCLC patients who received SBRT (50 Gy in four fractions) had clinical outcomes similar to patients with peripheral NSCLC when normal tissue constraints were respected (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Single-fraction SBRT appears feasible for peripheral tumors: in a randomized phase 2 trial (RTOG 0915), SBRT with a total dose of 34 Gy in one fraction or 48 Gy in four fractions had comparable efficacy and safety for stage I peripheral NSCLC (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The noninferiority of SBRT to surgery for operable early-stage NSCLC was a research hotspot. Two retrospective studies compared SBRT and surgery for early-stage NSCLC, but reported opposite results (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). A pooled analysis of two randomized phase 3 trials (STARS and ROSEL) indicated that SBRT was as effective and safe as surgery for early-stage NSCLC (<xref ref-type="bibr" rid="B44">44</xref>); however, the studies had certain limitations such as a small sample size and short follow-up time. In 2018, a phase 2 trial (RTOG 0618) reported SBRT (54 Gy in 3 fractions) achieved excellent efficacy and safety for operable stage I NSCLC (<xref ref-type="bibr" rid="B45">45</xref>). A recent trial (revised STARS) found that SABR was noninferior to surgery in treating operable stage I NSCLC, with 3-year OS and severe toxicity rates of 91% and 1%, respectively (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>Some studies suggested that stereotactic body proton therapy (SBPT) had superior dosimetric features to photon based SBRT (<xref ref-type="bibr" rid="B47">47</xref>). In 2012, a retrospective study reported that SBPT is effective and well tolerated for inoperable stage I NSCLC (<xref ref-type="bibr" rid="B48">48</xref>). In 2018, a phase 2 randomized trial was conducted to compare SBPT and photon based SBRT for early-stage NSCLC. However, this trial closed early owing to poor accrual, largely because of insurance coverage and lack of volumetric imaging in the SBPT group (<xref ref-type="bibr" rid="B49">49</xref>). Some retrospective studies reported that SBPT (51&#x2014;70 Gy in 10 fractions) for both central and peripheral early-stage NSCLC achieved excellent local control with minor toxicity (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). A recently published retrospective study compared SBPT with SBRT for early-stage NSCLC. The results showed that patients who received either SBPT or SBRT achieved similar outcomes, although those who received SBPT had a higher risk of developing radiation pneumonitis (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>SBRT has been a standard treatment for early-stage NSCLC in recent years. Several studies have validated the suitable dose fractions for tumors at different sites and demonstrated the noninferiority of SBRT to surgery for operable stage I NSCLC. The toxicity limited the dose, therefore also limited the local efficacy of SBRT. Induction systemic therapy might reduce tumor burden and extent, so as to reduce radiation toxicity. Distant recurrence after SBRT should be valued, concurrent or consolidated systemic therapy might reduce recurrent rate. Selected patients may benefit from SBPT rather than photon-based SBRT, but high-quality clinical evidence is lacking. Therefore, further clinical trials are needed to further established the optimal and individual treatment strategy for patients with early-stage NSCLC.</p>
</sec>
<sec id="s4_3">
<title>Perioperative radiotherapy for NSCLC</title>
<p>Neoadjuvant radiotherapy and/or chemoradiotherapy may improve the prognosis of patients with stage III NSCLC. A phase 2 study conducted in 1995 was the first to assess the feasibility of preoperative CCRT, and reported a 3-year OS rate of 26% (<xref ref-type="bibr" rid="B53">53</xref>). However, in a randomized trial of patients with stage III NSCLC, preoperative chemoradiation in addition to chemotherapy did not improve OS (<xref ref-type="bibr" rid="B54">54</xref>). The treatment of patients with stage IIIA NSCLC with ipsilateral mediastinal nodal metastases (N2) is controversial, with a nonrandomized phase 3 trial demonstrating that CCRT with or without resection (preferably lobectomy) is a viable therapeutic option for patients with N2 nodal disease (<xref ref-type="bibr" rid="B54">54</xref>). Moreover, a phase 3 randomized trial demonstrated that radiotherapy did not add any benefit to induction chemotherapy followed by surgery for patients with N2 disease (<xref ref-type="bibr" rid="B55">55</xref>). Some studies neoadjuvant SBRT for early-stage NSCLC. In 2019, a phase 2 trial reported neoadjuvant SBRT yielded a pathological complete response rate as high as 60% (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Postoperative radiotherapy (PORT) can potentially reduce the rate of recurrence but at the expense of toxicity. Patients with incompletely resected NSCLC obviously benefited from PORT (<xref ref-type="bibr" rid="B56">56</xref>). A meta-analysis published in 1998 showed that PORT was detrimental to the outcome of patients with completely resected NSCLC (<xref ref-type="bibr" rid="B57">57</xref>). Whether patients with completely resected N2 disease benefit from PORT was controversial. A population-based cohort study from 2006 found that postoperative radiotherapy increased OS only in patients with N2 disease (<xref ref-type="bibr" rid="B58">58</xref>), which was confirmed by a retrospective analysis of a randomized trial (ANITA) (<xref ref-type="bibr" rid="B59">59</xref>). The data from a prospective nationwide oncology outcomes database suggested improved survival was associated with receipt of PORT for patients with completely resected N2 disease (<xref ref-type="bibr" rid="B60">60</xref>). However, a randomized phase 3 trial (PORT-C) reported that postoperative radiotherapy following complete resection and adjuvant chemotherapy did not improve disease-free survival (DFS) in patients with pIIIA-N2 NSCLC (<xref ref-type="bibr" rid="B61">61</xref>). A recently published retrospective analysis suggested that patients with radiation-resistance gene alterations may derive minimal benefit from PORT, whereas patients with a high tumor mutational burden and/or alterations in DNA damage response and repair genes may benefit from PORT (<xref ref-type="bibr" rid="B62">62</xref>). A propensity score matched analysis suggested patients with N2 squamous cell lung cancer benefited from PORT (<xref ref-type="bibr" rid="B63">63</xref>). Moreover, A machine learning-based model was developed to predict the prognosis of patients with N2 disease and suggested that patients with a high lymph node burden or lymph node ratio might benefit from PORT (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Perioperative adjuvant radiotherapy or chemoradiotherapy improves the prognosis of selected patients with NSCLC. The main controversy centers on the management of completely resected N2 NSCLC. Some subsets of patients are reported to benefit from PORT, but the clinical evidence is lacking. Clinical trials are needed to further identify the subset of patients that would derive the greatest clinical benefit from perioperative radiotherapy.</p>
</sec>
<sec id="s4_4">
<title>Radiotherapy for NSCLC with driver gene alteration</title>
<p>Early studies suggested that the efficacy of radiotherapy was limited in patients with epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) gene altered NSCLC (<xref ref-type="bibr" rid="B65">65</xref>). For these patients, TKIs were effective and safe, and the combination of radiotherapy and TKI seemed promising. However, some studies reported excessive toxicity of TKIs with concurrent chest or brain radiotherapy (<xref ref-type="bibr" rid="B66">66</xref>&#x2013;<xref ref-type="bibr" rid="B68">68</xref>). Moreover, some of the other studies showed negative results of TKIs with concurrent or sequential radiotherapy (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Clinical evidence for the combination of radiotherapy with TKIs is still lacking. A recent phase 3 randomized trial evaluated whole-brain radiotherapy with concurrent erlotinib in NSCLC with brain metastases (BM), however, erlotinib did not improve prognosis (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>The combination of first- or second-generation TKIs and concurrent radiotherapy is not favored for patients with EGFR or ALK gene alteration. The optimal combination of radiotherapy and TKIs may be sequential. Currently, the efficacy of third-generation TKIs (eg. osimertinib and lorlatnib) has been proved. Radiotherapy plus third-generation TKIs may be beneficial, but high-quality clinical evidence is needed.</p>
</sec>
<sec id="s4_5">
<title>Chemoradiotherapy for SCLC</title>
<p>Fewer studies have been conducted on radiotherapy for SCLC than for NSCLC. A meta-analysis published in 1992 concluded that radiotherapy improved OS in patients with limited stage (LS-)SCLC (<xref ref-type="bibr" rid="B70">70</xref>); and a randomized trial conducted in 1993 showed that CCRT was superior to sequential chemoradiotherapy for LS-SCLC (<xref ref-type="bibr" rid="B71">71</xref>). The optimal irradiation dose fraction was controversial. Hyperfractionated CCRT (radiation dose of 1.5 Gy twice a day) was shown to be superior to standard CCRT, and a shorter time between the first day of chemotherapy and last day of radiotherapy was associated with improved OS in L-SCLC (<xref ref-type="bibr" rid="B72">72</xref>). In 2017, the CONVERT phase 3 trial failed to prove the superiority of once-daily CCRT to twice-daily CCRT (<xref ref-type="bibr" rid="B73">73</xref>). However, a randomized phase 2 trial suggested moderately hypofractionated CCRT (60 Gy in 26 fractions) achieved longer PFS and similar toxicities compared with hyperfractionated CCRT (45 Gy in 30 fractions) (<xref ref-type="bibr" rid="B74">74</xref>). Moreover, another randomized phase 2 trial reported that twice-daily radiotherapy of 60 Gy in 40 fractions substantially improved survival compared to 45 Gy, without increased toxicity (<xref ref-type="bibr" rid="B75">75</xref>). The standard treatment for ES-SCLC used to be chemotherapy. In 2015, a phase 3 randomized trial demonstrated that the addition of thoracic radiotherapy improved the OS of patients with ES-SCLC who respond to chemotherapy (<xref ref-type="bibr" rid="B76">76</xref>).</p>
<p>Chemoradiotherapy is the standard treatment for LS-SCLC. However, the optimal dose fraction is still controversial. Thoracic radiotherapy may improve the prognosis of patients with ES-SCLC, but further studies is need to clarify the patient selection and treatment strategy. Moreover, clinical trials are ongoing to evaluate the combination of radiotherapy and ICIs for patients with SCLC (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>).</p>
</sec>
<sec id="s4_6">
<title>Prophylactic cranial irradiation</title>
<p>BM is common and lethal in patients with SCLC. A randomized trial conducted in 1995 was the first to demonstrate that prophylactic cranial irradiation (PCI) for patients with LS-SCLC in complete remission (CR) decreased the risk of BM without a significant increase in complications (<xref ref-type="bibr" rid="B79">79</xref>). A meta-analysis published in 1999 concluded that PCI improved both OS and DFS in patients with L-SCLC in CR (<xref ref-type="bibr" rid="B80">80</xref>). The necessity of PCI for extensive (ES-)SCLC is controversial. A randomized trial from 2007 reported that PCI reduced the incidence of symptomatic BM and prolonged DFS and OS in ES-SCLC (<xref ref-type="bibr" rid="B81">81</xref>); however, another randomized phase 3 trial reported that PCI was not essential for patients with E-SCLC with response to initial chemotherapy and a confirmed absence of BM when patients receive periodic magnetic resonance imaging (MRI) examination during follow-up (<xref ref-type="bibr" rid="B82">82</xref>). PCI was previously considered unnecessary for patients with NSCLC based on a lack of OS benefit and treatment-associated memory decline (<xref ref-type="bibr" rid="B83">83</xref>). However, a recent randomized phase 2 trial (PRoT-BM) reported that PCI decreased the incidence of BM and prolonged PFS and OS in selected patients at high risk for developing BM (<xref ref-type="bibr" rid="B84">84</xref>). The major complication after PCI is cognitional functional disorder; a recent randomized phase 3 trial found that sparing the hippocampus during PCI preserved cognitive function while no differences were observed with respect to brain failure and OS compared to standard PCI (<xref ref-type="bibr" rid="B85">85</xref>).</p>
<p>PCI is still essential for LS-SCLC, but further studies are needed to identify the patients with NSCLC or ES-SCLC who would benefit from PCI. An optimized definition of target volume can improve patients&#x2019; quality of life.</p>
</sec>
<sec id="s4_7">
<title>Radiotherapy plus ICIs</title>
<p>ICIs combined with radiotherapy has been one of the hottest areas in lung cancer research, despite the negative results reported by some studies (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>ICIs plus chemoradiotherapy further improved the prognosis of patients with locally advanced NSCLC. A randomized phase 3 trial (PACIFIC) showed that CCRT followed by durvalumab as consolidation therapy significantly prolonged progression-free survival (PFS) (<xref ref-type="bibr" rid="B10">10</xref>). The recently reported 5-year results further demonstrated the OS and PFS benefit with durvalumab after chemoradiotherapy (<xref ref-type="bibr" rid="B88">88</xref>). In addition, a recent real-world cohort study demonstrated the timing of durvalumab initiation up to 120 days after chemotherapy completion is not associated with the prognosis (<xref ref-type="bibr" rid="B89">89</xref>). However, another recent study suggested that the frequency of tumor-reactive CD8(+) T cells decreased after CCRT (<xref ref-type="bibr" rid="B90">90</xref>). Therefore, earlier administration of ICIs might further improve the efficacy compared with immunotherapy after CCRT (<xref ref-type="bibr" rid="B90">90</xref>). The efficacy of other ICIs, such as pembrolizumab and sugemalimab, combined with CCRT was also proved by clinical trials (KEYNOTE-799, GEMSTONE-301) (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>&#x200b;There are fewer studies of radiotherapy plus ICIs for SCLC than for NSCLC. In 2020, a phase 1/2 trial suggested that pembrolizumab plus CCRT yielded favorable outcomes for patients with LS-SCLC (<xref ref-type="bibr" rid="B93">93</xref>). A phase 1 trial aimed to evaluate pembrolizumab plus radiotherapy after induction chemotherapy for ES-SCLC. However, this trial yielded no meaningful results due to heterogeneity in eligibility criteria (<xref ref-type="bibr" rid="B94">94</xref>). A recent randomized phase 2 trial (STIMULI) evaluated consolidation nivolumab and ipilimumab for patients with LS-SCLC after CCRT. However, this trial did not meet its primary endpoint of improving PFS with nivolumab-ipilimumab consolidation after CCRT in LS-SCLC (<xref ref-type="bibr" rid="B95">95</xref>).</p>
<p>SBRT may increase tumor antigen release, antigen presentation, and T-cell infiltration (<xref ref-type="bibr" rid="B96">96</xref>). A phase 2 trial (PEMBRO-RT) reported that additional SABR before pembrolizumab improved the efficacy for patients with metastatic NSCLC (<xref ref-type="bibr" rid="B96">96</xref>). Notably, patients without PD-L1 expression achieved a greater improvement in PFS and OS than others (<xref ref-type="bibr" rid="B96">96</xref>). A randomized phase 2 trial evaluating whether SBRT could enhance the effect of ICIs by increasing tumor response in nonirradiated metastatic NSCLC lesions showed that although there was a doubling of ORR, the results did not meet the study&#x2019;s prespecified endpoint criteria for meaningful clinical benefit (<xref ref-type="bibr" rid="B96">96</xref>). In a randomized phase 2 trial, SBRT with neoadjuvant durvalumab resulted in a high pathologic response rate and was well-tolerated in early-stage NSCLC patients (<xref ref-type="bibr" rid="B97">97</xref>). The treatment for relapsed SCLC was challenging. A randomized phase 3 trial evaluated durvalumab and tremelimumab plus SBRT for relapsed SCLC, but the efficacy was disappointing (<xref ref-type="bibr" rid="B98">98</xref>). Multiple trials are ongoing to further evaluate SBRT plus ICIs for lung cancer (<xref ref-type="bibr" rid="B99">99</xref>&#x2013;<xref ref-type="bibr" rid="B101">101</xref>).</p>
<p>&#x200b;The synergistic effect of radiotherapy and ICIs has been demonstrated in both basic and clinical studies. The addition of ICIs to radiotherapy/chemoradiotherapy/SBRT has been shown to be effective in selected patients with NSCLC. However, evidence in favor of radiotherapy plus ICIs for SCLC is still lacking. Further clinical trials are ongoing to identify targeted patient populations and the most effective combination of treatments.</p>
</sec>
<sec id="s4_8">
<title>Journals, countries, institutions, and authors</title>
<p>
<italic>Int. J. Radiat. Oncol. Biol. Phys.</italic> was the most productive journal on lung cancer radiotherapy. <italic>Int. J. Radiat. Oncol. Biol. Phys.</italic> also had the highest local citation number, indicating that it is highly influential in this area. <italic>J. Clin. Oncol.</italic> was also both productive and influential, with 153 publications and an average citation per paper per year of 15.08. The paper numbers of <italic>N. Engl. J. Med.</italic> and <italic>Lancet</italic> were low, but these papers were very influential. Among the 28 journals with the top-papers, 20 were considered to be top-journals. The articles published in top-journals were likely to be impactful. Therefore, the analysis of top-journals could help researchers to identify the important recently published articles. In particular, most of the top-papers were published in comprehensive journals, which may be due to the high impact factors of these journals.</p>
<p>Corresponding authors from the USA and China mainland contributed nearly a half of the articles. However, articles by corresponding authors from the USA were much more influential than from China mainland. International collaboration was rare in Asian countries but common in American and European countries. Most authors of the top-papers were from developed countries/regions, and international collaboration of these articles was common. Currently, high-quality studies from developing countries/regions are still lacking. The most productive institution was the University of Texas MD Anderson Cancer Center. Although some universities in China mainland were productive, their TPRs were low. In contrast, although some other institutions did not publish many papers, they contributed to many top-papers (eg. Indiana University and National Yang Ming University). Komaki R was the most cited author in this area, and the most productive authors of the top-papers were Choy H, Senan S, and Nagata Y. As corresponding authors, Yu JM, Rades D, and Liao ZX were most productive, and Timmerman R, Antonia SJ, Bradley JD were most cited.</p>
<p>This study presents the most influential journals, countries, institutions, and authors on lung cancer radiotherapy and visualizes the collaboration networks. The results can help researchers select target journals for publication and find potential cooperative partners.</p>
</sec>
<sec id="s4_9">
<title>Research trends and hotspots</title>
<p>This study quantitatively and comprehensively analyzes the research trends, status, and hotspots in lung cancer radiotherapy based on 9868 articles published between 2000 and 2022. Other major review methods, such as systematic literature review and meta-analysis, are unapplicable for this purpose (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>This study analyzed and visualized the research trends on lung cancer radiotherapy. Chemoradiotherapy was always the hottest research area, and the number of papers on metastatic lung cancer or PET/CT gradually increased. The number of publications on preoperative radiotherapy, postoperative radiotherapy, and PCI varied little from year to year. SBRT for lung cancer has been a research hotspot since 2006, and radiotherapy plus immunotherapy has been highly focused since 2019.</p>
<p>The current status on lung cancer radiotherapy is: 1) chemoradiotherapy is the standard treatment for advanced lung cancer; 2) neoadjuvant/adjuvant radiotherapy prolongs the OS in selected patients; 3) SBRT is not inferior to surgery for early-stage NSCLC; 4) PCI is necessary in patients with LS-SCLC; 5) selected patients with metastatic lung cancer benefit from radiotherapy; and 6) CCRT plus anti-PD-1 or anti-PD-L1 antibodies can further improve the prognosis of patients with advanced lung cancer.</p>
<p>The current research hotspots include: 1) the optimal dose fraction of CCRT for SCLC; 2) the necessity of neoadjuvant/adjuvant radiotherapy for patients with N2 disease; 3) SBRT for early-stage NSCLC; 4) management of SCLC brain metastases based on MRI; 5) radiotherapy for lung cancer oligometastasis; and 6) neoadjuvant radiotherapy plus ICIs. The authors suggest that important future research directions include: 1) SBRT plus ICIs for lung cancer oligometastasis; 2) radiotherapy plus ICIs for SCLC; 3) individualized treatment for special patients; 4) radiotherapy plus novel ICIs; 5) the mechanisms of radiation resistance; and 6) radiomics based on CT, MRI, and PET.</p>
</sec>
<sec id="s4_10">
<title>Limitations</title>
<p>The bibliometric analysis described herein has certain limitations. 1) This study aims to present the landscape of radiotherapy for lung cancer, and only includes relevant articles published between 2000 and 2022. Thus, earlier articles are excluded. 2) Due to the large number of articles, it is impossible to read every article and respectively analyze the subareas. In order to better present the research trends and status of the subareas, the authors discuss the developments and recent advances of subareas. 3) This study focuses on clinical studies and the search strategy may omit the important basic research studies, and the authors do not discuss radiobiology as well as radiophysics. 4) Finally, the authors conduct the literature retrieval only based on the Web of Science (Science Citation Indexing Expanded database), and articles not included in this database are omitted. This may lead to selection bias and analytical errors.</p>
</sec>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>To our knowledge, this study is the first comprehensive and quantitative bibliometric analysis of lung cancer radiotherapy. This study demonstrates the research trends and hotspots based on an analysis of 9868 articles and 100 top-papers. Moreover, the results can help researchers in selecting target journals for publication and in findings potential collaborators. The authors suggest that important research directions include: 1) SBRT plus ICIs for lung cancer oligometastasis; 2) radiotherapy plus ICIs for SCLC; 3) individualized treatment for special patients; 4) radiotherapy plus novel ICIs; 5) the mechanisms of radiation resistance; and 6) radiomics based on CT, MRI, and PET. This study can help researchers gain a comprehensive picture of the research landscape, historical development, and recent hotspots in lung cancer radiotherapy and can provide inspiration for future research.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XZ and YHL contributed to the study's conception. YHL analyzed the data. YHL, SJ, YRL, HY, and LY contributed to the literature review. YHL wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.1066557/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.1066557/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary Material S1</label>
<caption>
<p>Detailed search strategy for the papers on lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary Table&#xa0;S1</label>
<caption>
<p>The 100 top-papers on lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary Table&#xa0;S2</label>
<caption>
<p>The journals with top-papers on lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary Table&#xa0;S3</label>
<caption>
<p>The papers on lung cancer radiotherapy published in major journals since 2020.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_4.docx" id="ST4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary Table&#xa0;S4</label>
<caption>
<p>The corresponding authors with at least two top-papers in lung cancer radiotherapy from 2000 to 2022.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_1.png" id="SF1" mimetype="image/png">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Historical direct citation network among the publications.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.png" id="SF2" mimetype="image/png">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Top 50 references with the strongest citation bursts on lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.png" id="SF3" mimetype="image/png">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Citation relationship network of the publications with the strongest link strength.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.png" id="SF4" mimetype="image/png">
<label>Supplementary Figure&#xa0;4</label>
<caption>
<p>The trends of the keywords rank of lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.png" id="SF5" mimetype="image/png">
<label>Supplementary Figure&#xa0;5</label>
<caption>
<p>Top 50 keywords with the strongest citation bursts on lung cancer radiotherapy.</p>
</caption>
</supplementary-material>
</sec>
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