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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.868087</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Worldwide Research Trends on Artemisinin: A Bibliometric Analysis From 2000 to 2021</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Dong</surname> <given-names>Yankai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1564587/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Lina</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Han</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Lianqing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Juan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yuexiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>He</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Kun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1367280/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Luyao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shen</surname> <given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Meiling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Bo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname> <given-names>Xiaofei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/344180/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Life Sciences, Northwest University</institution>, <addr-line>Xi&#x00027;an</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>General Medical Department, Nankai Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University)</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Clinical Laboratory, Ankang Hospital of Traditional Chinese Medicine</institution>, <addr-line>Ankang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ana Afonso, University of S&#x000E3;o Paulo, Brazil</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Alphonse Ouedraogo, Groupe de Recherche Action en Sant&#x000E9; (GRAS), Burkina Faso; Chang Sheng Deng, Guangzhou University of Chinese Medicine, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Bo Zhang <email>akxjjy001&#x00040;163.com</email></corresp>
<corresp id="c002">Xiaofei Hu <email>harryzonetmmu&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases &#x02013; Surveillance, Prevention and Treatment, a section of the journal Frontiers in Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>868087</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Dong, Liu, Han, Zhang, Wang, Li, Li, Liu, Zhou, Li, Wang, Shen, Zhang, Zhang and Hu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Dong, Liu, Han, Zhang, Wang, Li, Li, Liu, Zhou, Li, Wang, Shen, Zhang, Zhang and Hu</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>Objective</title>
<p>Artemisinin is an organic compound that comes from Artemisia annua. Artemisinin treatment is the most important and effective method for treating malaria. Bibliometric analysis was carried out to identify the global research trends, hot spots, scientific frontiers, and output characteristics of artemisinin from 2000 to 2021.</p>
</sec>
<sec>
<title>Methods</title>
<p>Publications and their recorded information from 2000 to 2021 were retrieved through the Web of Science Core Collection (WoSCC). Using VOSviewer and Citespace, the hotspots and trends of studies on artemisinin were visualized.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 8,466 publications were retrieved, and for the past 22 years, the annual number of publications associated with artemisinin kept increasing. The United States published most papers. The H-index and number of citations of the United States ranked first. The University of Oxford and MALARIA JOURNAL were the most productive affiliation and journal, respectively. A paper written by E.A. Ashley in 2011 achieved the highest global citation score. Keywords, such as &#x0201C;malaria,&#x0201D; &#x0201C;artesunate,&#x0201D; &#x0201C;plasmodium-falciparum,&#x0201D; &#x0201C;<italic>in-vitro</italic>,&#x0201D; &#x0201C;artemisinin resistance,&#x0201D; &#x0201C;plasmodium falciparum,&#x0201D; &#x0201C;resistance,&#x0201D; and &#x0201C;artemether-lumefantrine,&#x0201D; appeared most frequently. The research on artemisinin includes clinical research and animal and cell experiments.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The biosynthesis, drug resistance mechanism, and combination of artemisinin have become more popular than before. Studies on artemisinin treating coronavirus disease 2019 (COVID-19) have been carried out, and good research results have been obtained.</p>
</sec></abstract>
<kwd-group>
<kwd>bibliometrics</kwd>
<kwd>artemisinin</kwd>
<kwd>VOSviewer</kwd>
<kwd>network</kwd>
<kwd>hotspot</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="17"/>
<word-count count="8274"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Artemisinin was first extracted from Artemisia annua by Chinese researchers in 1972, and it has a good therapeutic effect on malaria (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). At present, the World Health Organization (WHO) believes that artemisinin-based combination therapy (ACT) is still the most effective method to treat malaria (<xref ref-type="bibr" rid="B3">3</xref>). Due to the great effect of artemisinin in treating malaria, researchers have set off an upsurge of artemisinin research. The research on artemisinin is not limited to antimalarial effect; it also focuses on its efficacy as antivirus, antitumor, anti-inflammatory, and antiparasitic (except malaria) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Many artemisinin derivatives have been developed to improve the oral bioavailability, short half-life, and low solubility of artemisinin (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). However, artemisinin-resistant strains of <italic>Plasmodium</italic> have appeared in some parts of Southeast Asia in recent years. During 3-day ACTs, the clinical features of patients suffering from malaria are the slow clearance rate of <italic>Plasmodium</italic> and <italic>Plasmodium</italic> could not be eliminated completely (<xref ref-type="bibr" rid="B10">10</xref>). Due to the long history of application and the rapid development of modern science and technology, studies on artemisinin need a comprehensive summary and generalization to determine the research trend. New technologies and concepts are also being introduced. Thus, the trends and hotspots of artemisinin research have changed in recent years, bringing challenges to researchers. Groups of professors and scholars have made great efforts and published many papers thus far. However, a summing-up commentary is lacking. A comprehensive review of this field is essential, and old and new participants in this field could benefit from it. As an interdisciplinary science, bibliometrics could analyze all knowledge carriers quantitatively by using statistical and mathematical methods (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). As a convenient method, bibliometrics could estimate development trends and reveal key research directions by analyzing database and publication features. In addition, it could provide effective evidence to guide experimental strategies and funding decisions (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>During these years, fruits of bibliometric analysis, such as aristolochic (<xref ref-type="bibr" rid="B15">15</xref>), osteomyelitis (<xref ref-type="bibr" rid="B16">16</xref>), knee revision (<xref ref-type="bibr" rid="B11">11</xref>), tuberculosis (<xref ref-type="bibr" rid="B17">17</xref>), butyrophilins (<xref ref-type="bibr" rid="B18">18</xref>), and macrophages associated with acute lung injury (<xref ref-type="bibr" rid="B13">13</xref>), have been reported. However, no bibliometric study on artemisinin could be found. In this study, bibliometric analysis and a comprehensive review of artemisinin research were performed to investigate the trends of this research and provide suggestions for future studies.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Data Sources and Search Strategies</title>
<p>Due to a standardized and comprehensive dataset for export and wide use in academia, the Web of Science Core Collection (WoSCC) was used to compile the publication dataset in this study. The timespan of the retrieval was set between 2000 and 2021 to explore the global research trends in artemisinin study for a long time. The retrieval was carried out on 18 January 2022. At the initial stage of bibliometric analysis, &#x0201C;artemisinin&#x0201D; was used as the search term, and 9,449 publications were retrieved from the WoSCC database. Several queries were successively carried out as a part of retrieval. For example, &#x0201C;arteannuin&#x0201D; or &#x0201C;artemisinine&#x0201D; or &#x0201C;artemisine&#x0201D; or &#x0201C;artemisinin&#x0201D; were used as the search term. Finally, &#x0201C;artemisinin&#x0201D; was used as the retrieval term because it led to almost every relevant search result. In different types of relevant publications (i.e., meeting abstracts, editorial materials, preceding papers, letters, news items, corrections, book chapters, early access, book reviews, data papers, reprints, bibliographies, and biographical items), only articles and reviews written in English were included in the following analysis. A total of 7,346 articles and 1,120 reviews were retrieved and analyzed. <xref ref-type="fig" rid="F1">Figure 1</xref> shows the retrieval strategy in this research.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flowchart of the screening process.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Bibliometric Analysis</title>
<p>On the basis of WoSCC, text data were obtained, and further analysis was carried out with VOSviewer (version 1.6.10) and Citespace (version 5.7.R5). In accordance with the data, bibliometric indicators were extracted, including the number of publications (NPs) and the number of citations (NC) without self-citations. In 2005, Hirsch proposed the H-index (<xref ref-type="bibr" rid="B19">19</xref>), which introduced scientific measurement into a new context from the method and concept. According to its original definition, a researcher would have an H-index if he or she published H papers, and each of the papers at least had been cited H times. This simple, novel, and special method combines the NC with the number of papers, comprehensively considering the quantity and quality of scholars&#x00027; papers, and breaks the phenomenon of paying too much attention to local citations in the past. As the most important breakthrough in scientometrics indicators since the 21st century, in the following 10 years, the research on H-index could become one of the most important hotspots in the field of scientometrics and academic evaluation (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). A network of co-occurrence keywords, in which the research hotspots associated with artemisinin could be illustrated clearly, was also constructed, and the bursts of keywords and references are often used to detect new research trends in the field (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Overview of Research on Artemisinin</title>
<p>In accordance with the retrieval strategy, 8,466 articles and reviews published from 2000 to 2021 were retrieved, of which the total NC was 149,185 and the average NC per publication was 29.33. The H-index for all publications was 174.</p>
</sec>
<sec>
<title>Annual Trends in NP</title>
<p><xref ref-type="fig" rid="F2">Figure 2A</xref> shows the polynomial fitting curve of the annual trend of publication. The annual NP was obviously related to publication year, and the correlation coefficient <italic>R</italic><sup>2</sup> reached 0.9727. <xref ref-type="fig" rid="F2">Figure 2B</xref> shows the annual NP associated with artemisinin. In general, despite the fluctuation over the past 22 years, the annual NP rose from 98 in 2000 to 662 in 2021, reaching its peak in 2020.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>(A)</bold> Curve fitting of the total annual growth trend of publications (<italic>R</italic><sup>2</sup> = 0.9727). <bold>(B)</bold> The number of publications by year over the past 22 years.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Characteristics of Countries</title>
<p>Analysis of the publications in different countries could reflect the importance that a country attaches to this field and its influence in this field to some extent. From 2000 to 2021, 157 countries published research articles on artemisinin (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The top 10 output countries/regions according to the NP are listed in <xref ref-type="fig" rid="F3">Figure 3B</xref>. Since 2000, the NP in the United States and China has maintained steady growth. Fluctuations could be observed in the NP from England, with the largest NP being 114 in 2015. In general, these findings showed that the research on artemisinin has entered a stage of rapid development and attracted extensive attention. As shown in <xref ref-type="table" rid="T1">Table 1</xref>, the United States had the most publications (2,050), followed by China (1,641) and England (1,347). Papers from the United States were cited 76,901 times, accounting for 51.55% of the total citations. England (56,951) and Thailand (31,993) ranked second and third, respectively. Besides, the United States achieved the highest H-index (131), more than two times the number for India (54) and Nigeria (31). England had a moderately lower NP but higher H-index, NC, and average per item than China. Thailand achieved the highest average per item (53.74), followed by England (49.06), indicating that the publications of the two countries were of high quality. The average per item in China, India, and Nigeria was relatively low, suggesting that the quality of publications in these countries needs to be improved. As shown in the visualized international collaboration network, close cooperation was found between countries (<xref ref-type="fig" rid="F3">Figure 3C</xref>). India, France, Thailand, and Switzerland carried out research in this area earlier than other countries (<xref ref-type="fig" rid="F3">Figure 3D</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Countries in artemisinin research. <bold>(A)</bold> Geographical distribution of global output; <bold>(B)</bold> annual output trend of the top 10 productive countries; <bold>(C)</bold> visual cluster analysis of cooperation among countries; and <bold>(D)</bold> timeline visualization of cooperation among countries.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0003.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Publications in the top 10 productive countries/regions.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>NP</bold></th>
<th valign="top" align="center"><bold>NC</bold></th>
<th valign="top" align="center"><bold>H-index</bold></th>
<th valign="top" align="center"><bold>Average per item</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">The United States</td>
<td valign="top" align="center">2,050</td>
<td valign="top" align="center">76,901</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">44.3</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">China</td>
<td valign="top" align="center">1,641</td>
<td valign="top" align="center">31608</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">24.04</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">England</td>
<td valign="top" align="center">1,347</td>
<td valign="top" align="center">56,951</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">49.06</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">797</td>
<td valign="top" align="center">14,254</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">20.16</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="center">687</td>
<td valign="top" align="center">31,993</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">53.74</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Switzerland</td>
<td valign="top" align="center">634</td>
<td valign="top" align="center">25,565</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">43.7</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">France</td>
<td valign="top" align="center">591</td>
<td valign="top" align="center">19,363</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">35.94</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">510</td>
<td valign="top" align="center">18,253</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">39.2</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="center">497</td>
<td valign="top" align="center">17,922</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">39.06</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Nigeria</td>
<td valign="top" align="center">279</td>
<td valign="top" align="center">5,822</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">22.42</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Performance of Affiliations and Authors</title>
<p>The top 10 affiliations with the most publications associated with artemisinin are presented in <xref ref-type="table" rid="T2">Table 2</xref>. The University of Oxford had the highest NP (524), NC (30,311), and H-index (90), followed by Mahidol University and the University of London. In addition, the University of Oxford achieved the highest average per item (64.68), followed by Mahidol Oxford Tropical Medicine Research Unit (62.05) and Mahidol University (61.05). Moreover, 30% of the top 10 affiliations were from England. Mahidol University and the University of Oxford took up the core position (<xref ref-type="fig" rid="F4">Figure 4A</xref>). <xref ref-type="fig" rid="F4">Figure 4B</xref> shows the 20 most representative affiliations in terms of burst strength, burst duration, and burst time. Swiss Trop Instant had the highest burst strength. Eleven clusters were identified (<xref ref-type="fig" rid="F4">Figure 4C</xref>), which included &#x0201C;uncomplicated <italic>Plasmodium falciparum</italic> malaria,&#x0201D; &#x0201C;birth outcome,&#x0201D; and &#x0201C;new guinea.&#x0201D; <xref ref-type="table" rid="T3">Table 3</xref> shows the top 10 authors with the most publications. They published 988 papers, accounting for 11.67% of the total NP. Their NC was 76,490, accounting for 51.27% of the total NC. White, NJ from the Mahidol University in Thailand ranked first in the research field of artemisinin, followed by Nosten, F from the University of Oxford in England and Dondorp, AM from Mahidol University in Thailand. As shown in <xref ref-type="table" rid="T3">Table 3</xref>, Dondorp, AM had the highest average per item (108.36). Day, NPJ had the lowest number of documents. However, Day, NPJ ranked third in terms of average per item (98.03), showing that the quality of the author&#x00027;s publications was high. In addition, 30% of the top 10 authors were from Thailand. The co-occurrence network of authors is shown in <xref ref-type="fig" rid="F4">Figure 4D</xref>. Among all authors, NJ White had the highest burst strength (<xref ref-type="fig" rid="F4">Figure 4E</xref>). The cluster analysis of the authors showed 14 clusters, including &#x0201C;showing anticancer,&#x0201D; &#x0201C;ferrous iron-dependent delivery,&#x0201D; and &#x0201C;economic evaluation&#x0201D; (<xref ref-type="fig" rid="F4">Figure 4F</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The top 10 productive affiliations.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Affiliations</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>NP</bold></th>
<th valign="top" align="center"><bold>NC</bold></th>
<th valign="top" align="center"><bold>H-index</bold></th>
<th valign="top" align="center"><bold>Average per item</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">University of Oxford</td>
<td valign="top" align="left">England</td>
<td valign="top" align="center">524</td>
<td valign="top" align="center">30,311</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">64.68</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Mahidol University</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="center">520</td>
<td valign="top" align="center">28,283</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">61.05</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">University of London</td>
<td valign="top" align="left">England</td>
<td valign="top" align="center">514</td>
<td valign="top" align="center">20,756</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">44.05</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">London School of Hygiene and Tropical Medicine</td>
<td valign="top" align="left">England</td>
<td valign="top" align="center">460</td>
<td valign="top" align="center">18,661</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">44.45</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">University of California System</td>
<td valign="top" align="left">The United States</td>
<td valign="top" align="center">304</td>
<td valign="top" align="center">16,816</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">58.02</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Mahidol Oxford Tropical Medicine Research Unit</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="center">284</td>
<td valign="top" align="center">15,691</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">62.05</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Center national de la recherche scientifique</td>
<td valign="top" align="left">France</td>
<td valign="top" align="center">274</td>
<td valign="top" align="center">9,932</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">39.01</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">World Health Organization</td>
<td valign="top" align="left">Switzerland</td>
<td valign="top" align="center">268</td>
<td valign="top" align="center">13,528</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">53.22</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Chinese Academy of Sciences</td>
<td valign="top" align="left">China</td>
<td valign="top" align="center">256</td>
<td valign="top" align="center">7,393</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">31.04</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">University of Basel</td>
<td valign="top" align="left">Switzerland</td>
<td valign="top" align="center">224</td>
<td valign="top" align="center">9,044</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">42.68</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Visualization of active affiliations and author analysis. <bold>(A)</bold> Analysis of cooperation among affiliations. <bold>(B)</bold> Top 20 representative burst affiliations. <bold>(C)</bold> Timeline distribution of cluster analysis of affiliation. <bold>(D)</bold> Analysis of cooperation among authors. <bold>(E)</bold> Top 20 representative burst authors. <bold>(F)</bold> Timeline distribution of cluster analysis of the author.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0004.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The top 10 authors with the most publications.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Author</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="left"><bold>Affiliations</bold></th>
<th valign="top" align="center"><bold>NP</bold></th>
<th valign="top" align="center"><bold>NC</bold></th>
<th valign="top" align="center"><bold>H-index</bold></th>
<th valign="top" align="center"><bold>Average per item</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">White, NJ.</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left">Mahidol Univ</td>
<td valign="top" align="center">204</td>
<td valign="top" align="center">18,468</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">96.29</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Nosten, F.</td>
<td valign="top" align="left">England</td>
<td valign="top" align="left">Univ Oxford</td>
<td valign="top" align="center">138</td>
<td valign="top" align="center">13,024</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">98.79</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Dondorp, AM.</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left">Mahidol Univ</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">11,022</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">108.36</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Rosenthal, PJ.</td>
<td valign="top" align="left">The United States</td>
<td valign="top" align="left">Univ Calif San Francisco</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">4,546</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">53.79</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">D&#x00027;alessandro, U.</td>
<td valign="top" align="left">Belgium</td>
<td valign="top" align="left">Inst Trop Med Prince Leopold</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">2,645</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">35.2</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Efferth, T.</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Johannes Gutenberg Univ Mainz</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">5,026</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">71.95</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Price, RN.</td>
<td valign="top" align="left">England</td>
<td valign="top" align="left">John Radcliffe Hosp</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">3,684</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">49.6</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Fidock, DA.</td>
<td valign="top" align="left">The US</td>
<td valign="top" align="left">Columbia Univ</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">6,535</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">97.52</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Menard, D.</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Inst Pasteur</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">4,884</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">72.85</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Day, NPJ.</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left">Mahidol Univ</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">6,656</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">98.03</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Performance of Journals and Analysis of Co-citation</title>
<p>As presented in <xref ref-type="table" rid="T4">Table 4</xref>, MALARIA JOURNAL (1,021 publications, IF: 2.979) published the greatest number of papers related to artemisinin. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY (337 publications, IF: 5.191) and PLOS ONE (231 publications, IF: 3.24) ranked second and third, respectively. The top 10 journals published approximately 30% of the papers (2,390/28.23%). Of these top 10 journals, except for ANTIMICROBIAL AGENTS AND CHEMOTHERAPY (IF: 5.191) and JOURNAL OF MEDICINAL CHEMISTRY (IF: 7.446), the rest were journals with low IF (defined as lower than 5.000), indicating that researchers should improve the quality of their papers and conduct more in-depth and valuable research. MALARIA JOURNAL notably had the highest H-index and NC, and JOURNAL OF MEDICINAL CHEMISTRY exhibited the highest average per item. Although BIOORGANIC MEDICINAL CHEMISTRY had the lowest NP, its H-index was higher than that of BIOORGANIC MEDICINAL CHEMISTRY LETTERS, SCIENTIFIC REPORTS, ACTA TROPICA, and MOLECULES. The co-occurrence network of the cited journals is shown in <xref ref-type="fig" rid="F5">Figure 5A</xref>. The top three journals with the highest citations were MALARIA JOURNAL, ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, and PLOS ONE. When two articles appear in the references of the third citation together, a co-citation relationship is formed (<xref ref-type="bibr" rid="B22">22</xref>). <xref ref-type="fig" rid="F5">Figure 5B</xref> shows the 20 most representative journals in terms of burst strength, burst duration, and burst time. In the co-citation network, the line between two nodes implies that two papers were cited in one publication. The size of nodes represented the total number of co-citations of a document. Besides, nodes were divided into different clusters by using different colors. In view of the great number of cited references, 100 was set as the minimum NC of a reference. Among the 174,484 references cited by the retrieved publications, 206 references were selected for co-citation analysis (<xref ref-type="fig" rid="F5">Figure 5C</xref>). The top 10 co-cited references are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>. The co-citation of the paper written by Dondorp in 2009 was cited 1,360 times and in the first place, followed by the paper written by Klayman in 1985 and by Ashley in 2014. A total of 75 references were included in cluster 1 (in red), which mainly concentrated on the research on the synthesis, mechanism, efficacy, and pharmacokinetics of artemisinin. Cluster 2 (in green) was mainly about the study of antimalarial methods and drug resistance. Cluster 3 (in blue) paid attention to resistance in <italic>Plasmodium falciparum</italic> malaria and countermeasures. The main content of cluster 4 (in yellow) focused on the biosynthesis, extraction, and separation of artemisinin. Among all co-cited references, the paper written by Eckstein-Ludwig in 2003 had the highest burst strength (<xref ref-type="fig" rid="F5">Figure 5D</xref>). The minimum number of co-citations of an author was set as 193 due to the large amounts of authors. Among the 104,510 authors cited by retrieved publications, 158 co-cited authors were selected for analysis (<xref ref-type="fig" rid="F5">Figure 5E</xref>). The top 10 co-cited authors are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>. White, NJ had the most citations (2,924), followed by WHO (2,233) and Efferth, T (2,103). In terms of total link strength, White, NJ ranked first (45,050), followed by Posner, GH (33,037), and Haynes, RK (30,363). Although Posner, GH had a slightly low citation, the author&#x00027;s total link strength (33,037) was higher than that of WHO, Efferth T, and Dondorp AM.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>The top 10 most active journals.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Journal</bold></th>
<th valign="top" align="center"><bold>NP</bold></th>
<th valign="top" align="center"><bold>NC</bold></th>
<th valign="top" align="center"><bold>IF(2020)</bold></th>
<th valign="top" align="center"><bold>H-index</bold></th>
<th valign="top" align="center"><bold>Average per item</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Malaria Journal</td>
<td valign="top" align="center">1,021</td>
<td valign="top" align="center">19,072</td>
<td valign="top" align="center">2.979</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">21.7</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Antimicrobial Agents And Chemotherapy</td>
<td valign="top" align="center">337</td>
<td valign="top" align="center">10,875</td>
<td valign="top" align="center">5.191</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">34.35</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">PLOS ONE</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">7,036</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">American Journal Of Tropical Medicine And Hygiene</td>
<td valign="top" align="center">227</td>
<td valign="top" align="center">6,022</td>
<td valign="top" align="center">2.345</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">27.41</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Journal Of Medicinal Chemistry</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">6,119</td>
<td valign="top" align="center">7.446</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">51.52</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Bioorganic Medicinal Chemistry Letters</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">2,482</td>
<td valign="top" align="center">2.823</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">23.3</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Scientific Reports</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">1,414</td>
<td valign="top" align="center">4.38</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">16.26</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Acta Tropica</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">2,557</td>
<td valign="top" align="center">3.11</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">30.26</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Molecules</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">1,952</td>
<td valign="top" align="center">4.412</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">23.63</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Bioorganic Medicinal Chemistry</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">2,215</td>
<td valign="top" align="center">3.641</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">27.81</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Visualization of the cited journal, co-cited reference, and co-cited author analysis. <bold>(A)</bold> Co-occurrence network of cited journals. <bold>(B)</bold> Top 20 representative burst cited journals. <bold>(C)</bold> Co-occurrence network of co-cited reference. <bold>(D)</bold> Top 20 representative burst co-cited references. <bold>(E)</bold> Co-occurrence network of the co-cited author.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0005.tif"/>
</fig>
</sec>
<sec>
<title>Analysis of Global Citation Score</title>
<p><xref ref-type="fig" rid="F6">Figure 6</xref> shows the annual number of global citation scores (GCS) of the top 10 publications. The paper written by Ashley in 2014 had the highest GCS (1,231). In this study, E.A. Ashley concluded that the prevalent resistance of <italic>Plasmodium falciparum</italic> to artemisinin in Southeast Asia was related to kelch13 mutations. Extended courses of ACTs were effective in areas where the standard 3-day treatment has failed (<xref ref-type="bibr" rid="B23">23</xref>). Ariey et al. linked artemisinin resistance to mutations in the PF3D7_1343700 Kelch propeller domain (&#x0201C;K13-Propper&#x0201D;) through whole-genome sequencing of the artemisinin-resistant parasite in Cambodia and parasite strains in Africa. Kelch13 (K13) propeller allele mutation was concentrated in Cambodia, and resistance was widespread. As a useful molecular marker, K13 polymorphism was conducive to controlling artemisinin resistance and avoiding its global spread (<xref ref-type="bibr" rid="B24">24</xref>). Paddon et al. proved the complete biosynthetic pathway of artemisinin. In addition, they developed a chemical process that could convert artemisinic acid to artemisinin with a chemical source of singlet oxygen (<xref ref-type="bibr" rid="B25">25</xref>). Tu described the discovery and application of artemisinin (<xref ref-type="bibr" rid="B2">2</xref>). White et al. reviewed the clinical, pathological, and epidemiological features of malaria and the means of prevention and treatment; they pointed out that a high supply of ACT is an effective means to reduce the incidence rate and mortality of malaria (<xref ref-type="bibr" rid="B26">26</xref>). Phyo et al. found that parasite clearance half-lives greatly lengthened and identified 148 multi-locus parasite genotypes (<xref ref-type="bibr" rid="B27">27</xref>). Bousema et al. summarized the epidemiology and infectivity of <italic>Plasmodium falciparum</italic> and <italic>Plasmodium vivax</italic> gametocytes in relation to malaria control and elimination (<xref ref-type="bibr" rid="B28">28</xref>). Westfall et al. described the progress toward the goal of developing semisynthetic artemisinin by fermenting the artemisinin precursor from engineered Saccharomyces cerevisiae and chemically converting it to dihydroartemisinin acid, which could then be converted to artemisinin (<xref ref-type="bibr" rid="B29">29</xref>). Straimer et al. provided solid evidence to identify and eliminate artemisinin-resistant malaria parasites (<xref ref-type="bibr" rid="B30">30</xref>). Achan et al. reviewed the historical uses of quinine, and its current use was considered. ACT offered a better choice than quinine, although in resource-limited settings, maintaining a stable supply of ACT was difficult (<xref ref-type="bibr" rid="B31">31</xref>). In any case, the focuses of artemisinin research in these publications were different, but they were all pioneering, which had a good guiding significance for the follow-up research in this field.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>The yearly number of global citations of papers with high global citations (GCS). The size and colors of the circle represent the GCS of papers.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0006.tif"/>
</fig>
</sec>
<sec>
<title>Analysis of Keywords</title>
<p>The keywords extracted from abstracts and titles of the 8,466 publications were analyzed (<xref ref-type="fig" rid="F7">Figure 7</xref>). As shown in <xref ref-type="fig" rid="F7">Figure 7A</xref>, cluster 1 majorly focused on clinical research of artemisinin on malaria treatment, especially for children in Africa, including efficacy and drug resistance. Cluster 2 mainly reflected on basic research and explored the main mechanism of artemisinin in the treatment of diseases. Cluster 3 focused on the biosynthesis mechanism of artemisinin. The top 20 keywords in frequency are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>. The most frequent keywords were &#x0201C;artemisinin,&#x0201D; &#x0201C;malaria,&#x0201D; &#x0201C;artesunate,&#x0201D; &#x0201C;plasmodium-falciparum,&#x0201D; &#x0201C;<italic>in-vitro</italic>,&#x0201D; &#x0201C;artemisinin resistance,&#x0201D; &#x0201C;plasmodium falciparum,&#x0201D; &#x0201C;resistance,&#x0201D; and &#x0201C;artemether-lumefantrine,&#x0201D; indicating that studies associated with artemisinin mainly involved basic research, clinical research, and structure modification. As shown in <xref ref-type="fig" rid="F7">Figure 7B</xref>, in accordance with the average publication year (APY), all keywords were divided into different types of colors through VOSviewer. Compared with artemisinin, artesunate, and other earlier research keywords, nanoparticle (2017.37), piperaquine (2016.51), artemisinin biosynthesis (2016.88), and drug discovery (2016.11) have become major topics in this field. Comparison between <xref ref-type="fig" rid="F7">Figures 7A,B</xref> showed that artemisinin combination and biosynthesis were the research hotspots in recent years. <xref ref-type="fig" rid="F7">Figure 7C</xref> shows the 20 most representative keywords in terms of burst strength, burst duration, and burst time. The findings showed that in the early stage of artemisinin research, the chemical synthesis of artemisinin and its derivatives, antimalaria, and combination drugs are the research hotspots.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Network on keywords of artemisinin. <bold>(A)</bold> The 150 keywords that occurred more than 80 times were divided into 3 clusters by different colors: cluster 1: red, cluster 2: green, cluster 3: blue. The size of the nodes represents the frequency of occurrences. <bold>(B)</bold> Visualization of keywords according to the average publication year (APY). Keywords in yellow appeared later than that in blue. <bold>(C)</bold> Top 20 representative burst keywords.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0007.tif"/>
</fig>
</sec>
<sec>
<title>Bibliographic Coupling Analysis</title>
<p>Bibliographic coupling denotes that if two documents cite the same references, they have a coupling relationship. In addition, on the basis of the latest version of Journal Citation Reports, the impact factor (IF), which has been widely used as the main indicator to measure the quality and impact of journals, was obtained (<xref ref-type="bibr" rid="B32">32</xref>). The network of bibliographic coupling analysis is shown in <xref ref-type="fig" rid="F8">Figure 8</xref>, and the top 10 countries are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>. The United States had the most documents, citations, and total link strength. China ranked second in documents, but its total link strength was lower than that of England and Thailand. The citations of China were also lower than those in England. Except for the United States, China, and England, the documents of other countries were &#x0003C;1,000. In terms of affiliation (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>), Mahidol University ranked first in terms of documents, citations, and total link strength, followed by the University of Oxford and London School of Hygiene &#x00026; Tropical Medicine. Although the Chinese Academy of Sciences had high documents, its total link strength was lower than that of other institutions. As shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>, White had the most documents, citations, and total link strength. Nosten ranked second in number of documents, but the author&#x00027;s total link strength was lower than that of Dondorp, Fidock, David and Menard; Dier had low documents, but their citations and total link strength were relatively high. The top 10 journals are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 7</xref>. MALARIA JOURNAL has published the most documents, which have the most citations and total link strength, followed by ANTIMICROBIAL AGENTS and CHEMOTHERAPY and PLOS ONE. A paper written by Dondorp published in 2009 had the most citation, while the paper written by Ariey in 2014 had the highest total link strength (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 8</xref>).</p>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Bibliographic coupling analysis. <bold>(A)</bold> Network of co-occurrence of countries. <bold>(B)</bold> Network of co-occurrence of affiliations. <bold>(C)</bold> Network of co-occurrence of documents. <bold>(D)</bold> Network of co-occurrence of authors. <bold>(E)</bold> Network of co-occurrence of journals.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0008.tif"/>
</fig>
</sec>
<sec>
<title>Analysis of Study on Artemisinin in the Treatment of Coronavirus Disease 2019</title>
<p>During the coronavirus disease 2019 (COVID-19) pandemic, researchers are looking for effective treatments, and the therapeutic effect of artemisinin on COVID-19 was studied. A total of 48 papers about the therapeutic effect of artemisinin on COVID-19 were screened and analyzed in this study, with 316 keywords in total. As shown in <xref ref-type="fig" rid="F9">Figure 9</xref>, except for COVID-19 and artemisinin, SARS-CoV-2, coronavirus, malaria, chloroquine, artesunate, hydroxychloroquine, and <italic>in-vitro</italic> appeared most frequently. <xref ref-type="fig" rid="F9">Figure 9</xref> shows the research on artemisinin for COVID-19 treatment, including the efficacy and mechanism of action <italic>in vivo</italic> and <italic>in vitro</italic>, immunity, gene expression, and cytokines.</p>
<fig id="F9" position="float">
<label>Figure 9</label>
<caption><p>The network on keywords of artemisinin treating coronavirus disease 2019 (COVID-19).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-868087-g0009.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Artemisinin, an antimalarial drug found in plants, is derived from Artemisia annua (<xref ref-type="bibr" rid="B2">2</xref>). Since 2001, artemisinin has been recommended by the WHO as the first-line drug for treating Falciparum malaria. However, the emergence of artemisinin resistance has attracted great attention in the academic community (<xref ref-type="bibr" rid="B33">33</xref>). In this study, bibliometric analysis was performed to explore the hotspots and developmental trends of studies on artemisinin on the basis of WoSCC with VOSviewer and Citespace. A total of 8,466 original articles and reviews published from 2000 to 2021 were retrieved in this study. The United States ranked first in terms of NP among all countries/regions, indicating that the country had a high production in the research of artemisinin. Although artemisinin was first discovered by Chinese scholars, China ranked second in terms of NP, indicating that the country needs to strengthen its research on artemisinin. The H-index, average per item, and NC of China were lower than those of English and Thailand. The average per item of Switzerland, France, Germany, and Australia was higher than that of China, indicating that the quality of papers in China needs to be improved.</p>
<p>Three Thai authors and three English affiliations came in the top 10 authors and affiliations in the research of artemisinin, respectively, indicating that the best affiliations were in England, and Thailand possessed the most professional researchers around the world. Compared with the United States, England and Thailand had a relatively high average per item. This finding showed that the research quality in England and Thailand was high.</p>
<p>Among the top 10 productive journals, only two had notably high IF, indicating that the quality of research papers in this field needs improvement and the depth of artemisinin research should be strengthened. MALARIA JOURNAL, which is a specialist journal related to malaria and has a certain influence in the field of malaria, published the greatest number of papers related to artemisinin. This finding showed that the research on artemisinin mainly focuses on antimalaria. However, the IF of this journal was not high (2.979), and the possible reason is that compared with NATURE, the LANCET, NEW ENGLAND JOURNAL OF MEDICINE, or other top journals, MALARIA JOURNAL has moderately low requirements for the amount of data and innovation of articles, and the publishing cycle is not too long. Considering the difficulty of publication, most scholars published articles in MALARIA JOURNAL, also indicating that the journal had a powerful impact in the field of artemisinin research.</p>
<p>Nine of the top 10 articles with the highest GCS were published in journals with higher IF, suggesting that these journals have published major breakthroughs in this field, reminding researchers interested in this field to pay close attention to these journals.</p>
<p>The signaling pathways involved in various mechanisms have been discovered with the deepening of research. The network of keywords showed that nuclear transcription factor (NF)-kB played an important role in the pharmacological mechanism of artemisinin. Analysis of keywords indicated that in recent years, the research on artemisinin biosynthesis has become popular. The main reason is that artemisinin was widely used, and clinical demand was large. Artemisia annua was the only plant source of artemisinin (<xref ref-type="bibr" rid="B34">34</xref>), but the content of artemisinin is very low. Thus, developing new methods to produce artemisinin to meet the increasing demand is necessary (<xref ref-type="bibr" rid="B35">35</xref>), and finding new methods to obtain artemisinin has become a research hotspot. Artemisinin is a kind of sesquiterpene, which is synthesized by the isoprenoid pathway, and farnesyl pyrophosphate (FPP) is its main synthetic precursor. The synthesis of amorphadiene is catalyzed by FPP amorphadiene synthase. Then, amorphadiene is oxidized by CYP450 enzyme to produce artemisinic acid (<xref ref-type="bibr" rid="B35">35</xref>). Artemisinin is produced from artemisinic acid under the action of photooxidation (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>The total synthesis of artemisinin began in the 1980&#x00027;s. More than one synthesis and purification method of artemisinin was reported (<xref ref-type="bibr" rid="B37">37</xref>&#x02013;<xref ref-type="bibr" rid="B40">40</xref>). Paddon designed a method to synthesize artemisinin from artemisinic acid. This method was economical and efficient. The yield of artemisinin was 40&#x02013;50%, and the purity was higher than that of artemisinin extracted from plants. This method has important application prospects and market value (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>In 2006, WHO recommended ACTs as the first-line drug for the treatment of Falciparum malaria. Due to its obvious curative effect, artemisinin could effectively reduce the infection rate and mortality rate of malaria and control its prevalence (<xref ref-type="bibr" rid="B41">41</xref>). Peroxy is the pharmacophore of artemisinin for treating malaria. At present, the mechanisms of artemisinin for treating malaria mainly include the carbon-free radical hypothesis, heme target hypothesis, calcium pump hypothesis, mitochondrial target hypothesis, and heme-activated multi-target hypothesis (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Further research showed that artemisinin not only has antimalaria pharmacological effects but also antitumor, antifibrosis, anti-inflammatory, and bactericidal effects. The works of Hou et al. showed that artesunate remarkably improved autoimmune arthritis by selectively reducing germinal center B cells (<xref ref-type="bibr" rid="B43">43</xref>). Kalvin et al. demonstrated that artemisinin could inhibit proliferation of endometrial cancer and downregulation of CDK4 expression by interference interaction of CDK4 promoter with NF-&#x003BA;B interactions (<xref ref-type="bibr" rid="B44">44</xref>). In addition, many studies have confirmed that artemisinin had inhibitory effects on lung cancer, liver cancer, cervical cancer, and other malignant tumors (<xref ref-type="bibr" rid="B45">45</xref>&#x02013;<xref ref-type="bibr" rid="B51">51</xref>). Artemisinin could also abrogate dextran sulfate sodium-induced intestinal inflammation, and by inducing CYP3A expression <italic>via</italic> activation of pregname X receptor, artemisinin prevented or reduced the severity of colonic inflammation (<xref ref-type="bibr" rid="B52">52</xref>). Wang investigated the antiviral activity of artemisinin by measuring the hallmark features of viral replication <italic>in vitro</italic> and <italic>in vivo</italic>. Enhancing host type I interferon response was associated with the antiviral effect of artemisinin (<xref ref-type="bibr" rid="B53">53</xref>). Artemisinin also has inhibitory effects on <italic>Alternaria tabacum, Escherichia coli, Staphylococcus aureus</italic>, and other bacteria and fungi, but most of the studies were performed <italic>in vitro</italic> (<xref ref-type="bibr" rid="B54">54</xref>&#x02013;<xref ref-type="bibr" rid="B56">56</xref>). The antibacterial research of artemisinin is still in its infancy. The next research should focus on <italic>in vivo</italic> research and action mechanism.</p>
<p>Comparison between <xref ref-type="fig" rid="F7">Figures 7A,B</xref> revealed that the mechanism of artemisinin resistance has become a hotspot over the last years. The definition of artemisinin resistance is as follows: after artesunate monotherapy or ACT treatment of patients with malaria, the elimination half-life of <italic>Plasmodium</italic> in patients&#x00027; blood is &#x02265;5h (<xref ref-type="bibr" rid="B57">57</xref>). The first artemisinin-resistant case was found at the Thai-Cambodian border from 2003 to 2004. In 2008, another case of resistance of <italic>Plasmodium</italic> to artemisinin was found in Beilin Province, Cambodia (<xref ref-type="bibr" rid="B58">58</xref>). The APY of &#x0201C;Western Cambodia&#x0201D; and &#x0201C;Cambodia&#x0201D; was 2,016, which indicated that several studies on artemisinin resistance in Cambodia began in 2016. The gene mutations of <italic>Plasmodium</italic>, such as the multidrug resistance gene (pfmdr1) and chloroquine resistance transmembrane transporter gene (pfcrt), could affect its sensitivity to artemisinin, which is closely associated with the emergence of drug resistance. The keywords &#x0201C;pfmdr1&#x0201D; and &#x0201C;pfcrt&#x0201D; were included in cluster 1, which was mainly about artemisinin resistance, and the APY of the two keywords was 2,015. At present, the main criteria for evaluating artemisinin resistance are as follows: treatment failure and delayed parasite clearance on the third day (<xref ref-type="bibr" rid="B59">59</xref>). Whether artemisinin resistance could worsen in the future needs further observation. Birnbaum&#x00027;s results showed that the mechanism of drug resistance was related to the mutation of K13 and the decreased concentration of hemoglobin degradation products (<xref ref-type="bibr" rid="B60">60</xref>). In addition, a response mechanism of unfolded protein was found in <italic>Plasmodium falciparum</italic> (<xref ref-type="bibr" rid="B61">61</xref>). The appearance and endemic transmission of artemisinin-resistant <italic>Plasmodium falciparum</italic> were identified in Africa. However, K13 was not the best predictor for artemisinin resistance in Africa (<xref ref-type="bibr" rid="B62">62</xref>&#x02013;<xref ref-type="bibr" rid="B64">64</xref>), suggesting that the artemisinin-resistant <italic>Plasmodium falciparum</italic> in Africa may be different from that in Cambodia. Thus, the mechanism and molecular markers of artemisinin resistance in Africa need further research. To prevent its spread, first, improving the local medical and health conditions and enhancing people&#x00027;s awareness of antimalaria are necessary. Second, researchers should do a good job in the research and innovation of artemisinin, study the joint application between artemisinin and other drugs, and strengthen the research and development of diversified and effective artemisinin compound drugs to keep <italic>Plasmodium</italic> highly sensitive to artemisinin and prevent the spread of artemisinin resistance. Finally, antimalarial drugs should be used reasonably in the clinic. The use of unnecessary antimalarial drugs must be limited, and new antimalarial drugs with no toxic side effects must be actively developed.</p>
<p>COVID-19 has spread to more than 210 countries and regions, bringing serious adverse effects to human survival and social development. Researchers and medical workers are also actively looking for effective treatments. On the basis of the anti-inflammatory, immunomodulatory, and antifibrosis effects of artemisinin, researchers have proposed to exploit its potential medicinal value for the treatment of COVID-19 (<xref ref-type="bibr" rid="B65">65</xref>). The results of Mathieu Gendrot et al. showed that for the treatment of COVID-19, mefloquine-artesunate exerted the highest antiviral activity. Artemether-lumefantrine, artesunate-amodiaquine, dihydroartemisinin-piperaquine, or artesunate-pyronaridine also showed antiviral effect (<xref ref-type="bibr" rid="B66">66</xref>). &#x0201C;Baicalein,&#x0201D; &#x0201C;berberine,&#x0201D; &#x0201C;curcumin,&#x0201D; &#x0201C;emodin,&#x0201D; &#x0201C;myricetin,&#x0201D; and &#x0201C;ginsenosides&#x0201D; appeared in <xref ref-type="fig" rid="F9">Figure 9</xref>, indicating that artemisinin may be combined with these compounds to treat COVID-19.</p>
<p>In addition, <xref ref-type="fig" rid="F9">Figure 9</xref> shows that the pharmacological effects of artemisinin against COVID-19 included anti-inflammatory, antioxidant, immune regulation, regulation of autophagy, antivirus, and protection of myocardium, suggesting that artemisinin may have certain effects on improving immunity, reducing the degree of pulmonary fibrosis and pulmonary inflammation, and alleviating injury of organs and tissues of patients infected with COVID-19. However, at present, the research on the clinical safety and effectiveness of artemisinin in the treatment of COVID-19 is still blank, and the research and verification of the inhibitory effect of artemisinin on the SARS-CoV-2 virus and the effect of reducing the degree of pulmonary fibrosis and effectively alleviating the inflammatory response of patients should be strengthened. By means of performing in-depth research, artemisinin could provide a reference for exploring effective drugs for treating COVID-19, and the clinical application of artemisinin could be expanded. Bibliometric analysis and visualization of hotspots and development trends could not only reveal further information but also provide valuable explorations in the field of artemisinin research. However, this study has some limitations. First, only English reviews and articles from WoSCC were included. Second, failing to analyze the full text of a publication, VOSviewer may miss some information. Finally, due to the exclusion of some new publications, this study may have a lag to some extent.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In this study, the most relevant authors, the most cited published papers, authors&#x00027; research outputs, leading journals, and relevant countries in the publications of artemisinin from 2000 to 2021 were analyzed quantitatively and qualitatively for visualization and evaluation of the findings on artemisinin research. Over the past 22 years, the NPs on artemisinin steadily increased. The United States and China had a major impact on this field. Effective collaboration among different countries/regions could help promote artemisinin research. Hotspots associated with artemisinin included artemisinin resistance, molecular markers, polymorphisms, and drug discovery. The bibliometric analysis could effectively help researchers identify hotspots, frontiers, and new directions correlated with artemisinin research.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<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">
<title>Author Contributions</title>
<p>YD, LiL, JH, LZ, YW, JL, YL, and HL participated in the design of the study and wrote the manuscript. KZ and LuL collected and analyzed the data. XS, XW, and MZ edited the manuscript. XH and BZ consulted the relevant literature. All authors read and approved the final manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;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>
<ack><p>The authors acknowledge gratitude to all the staff who participated in this study.</p>
</ack>
<sec sec-type="supplementary-material" id="s9">
<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/fmed.2022.868087/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2022.868087/full#supplementary-material</ext-link></p>
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