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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.2024.1484097</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Bibliometric mapping of mesenchymal stem cell therapy for bone regeneration from 2013 to 2023</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Qianqian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2821779/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Su</surname> <given-names>Yiqi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Zhen</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1217382/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Qiyuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ke</surname> <given-names>Yan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xing</surname> <given-names>Dan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1800937/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<aff id="aff1"><sup>1</sup><institution>Third Affiliated Hospital of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Arthritis Clinic &#x0026; Research Center, Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Arthritis Clinic &#x0026; Research Center, Peking University People&#x2019;s Hospital, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Arthritis Institute, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Ian James Martins, University of Western Australia, Australia</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Xiaolei Li, University of Pennsylvania, United States</p><p>Frederic Deschaseaux, Universit&#x00E9; Toulouse III Paul Sabatier, France</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yan Ke, <email>kkeyyan@163.com</email>; Dan Xing, <email>xingdan@bjmu.edu.cn</email>; Hui Li, <email>lihui@pkuph.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1484097</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Chen, Su, Yang, Lin, Ke, Xing and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Su, Yang, Lin, Ke, Xing and Li</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>
<p>Mesenchymal stem cells (MSCs) have shown significant potential in bone regeneration and regenerative medicine in recent years. With the advancement of tissue engineering, MSCs have been increasingly applied in bone repair and regeneration, and their clinical application potential has grown through interdisciplinary approaches involving biomaterials and genetic engineering. However, there is a lack of systematic reviews summarizing their applications in bone regeneration. To address this gap, we analyzed the latest research on MSCs for bone regeneration published from 2013 to 2023. Using the Web of Science Core Collection, we conducted a literature search in December 2024 and employed bibliometric tools like CiteSpace and VOSviewer for a comprehensive analysis of the key research trends. Our findings focus on the development of cell engineering, highlighting the advantages, limitations, and future prospects of MSC applications in bone regeneration. These insights aim to enhance understanding of MSC-based bone regeneration, inspire new research directions, and facilitate the clinical translation of MSC research.</p>
</abstract>
<kwd-group>
<kwd>visualization research</kwd>
<kwd>mesenchymal stem cell</kwd>
<kwd>cell therapy</kwd>
<kwd>bone regeneration</kwd>
<kwd>CiteSpace</kwd>
<kwd>VOSviewer</kwd>
</kwd-group>
<contract-num rid="cn1">L222087</contract-num>
<contract-num rid="cn1">L232094</contract-num>
<contract-num rid="cn1">L242140</contract-num>
<contract-num rid="cn2">82302776</contract-num>
<contract-num rid="cn3">RDJP2022-04</contract-num>
<contract-num rid="cn3">RDGS2023-04</contract-num>
<contract-num rid="cn3">RDX2023-12</contract-num>
<contract-num rid="cn3">RS2024-04</contract-num>
<contract-sponsor id="cn1">Natural Science Foundation of Beijing Municipality<named-content content-type="fundref-id">10.13039/501100004826</named-content></contract-sponsor>
<contract-sponsor id="cn2">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn3">Peking University People&#x2019;s Hospital Scientific Research Development Funds</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="15"/>
<word-count count="7170"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gene and Cell Therapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Bones have a unique scarless regenerative capacity, allowing them to completely repair damaged areas and restore their normal shape and function. Unlike most tissues, bone tissue does not form scars after injury but instead undergoes a complete regeneration process through a series of steps (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). This process primarily relies on two pathways: intramembranous ossification and endochondral ossification. These two mechanisms play a crucial role in bone regeneration, jointly facilitating the restoration and repair of bone tissue (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>).</p>
<p>Mesenchymal stem cells (MSCs) are multipotent stem cells found primarily in bone marrow, periosteum, and endosteum. These cells can differentiate into osteoblasts (bone-forming cells) and chondrocytes (cartilage-forming cells), playing a key role in fracture repair (<xref ref-type="bibr" rid="ref6 ref7 ref8 ref9 ref10">6&#x2013;10</xref>). MSCs not only promote bone healing by directly forming bone and cartilage but also influence the healing process indirectly through the secretion of cytokines, regulation of angiogenesis, and modulation of inflammatory responses (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Therefore, MSCs hold great potential in the fields of bone regeneration and tissue engineering.</p>
<p>However, in conventional clinical trials for bone repair, stem cell therapy faces challenges such as significant cell loss post-transplantation, apoptosis, and poor targeting (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Consequently, it is crucial to target the delivery of MSCs to the site of bone injury or defect to optimize their regenerative effects. Currently, researchers have adopted various strategies to enhance MSC homing and transplantation, including the use of biomaterial scaffolds, growth factors, and cell surface modifications (<xref ref-type="bibr" rid="ref15 ref16 ref17 ref18 ref19">15&#x2013;19</xref>). These methods aim to improve MSC targeting and survival rates at the target site, thereby promoting tissue regeneration and repair. Despite significant breakthroughs in mesenchymal stem cell therapy for bone regeneration over the past decade, there is still a lack of systematic reviews on its application in this field.</p>
<p>Bibliometric analysis is a method that can quantitatively and qualitatively analyze authors, journals, research teams, sponsoring institutions, or countries, to describe the current state of research and predict trends in related fields (<xref ref-type="bibr" rid="ref20">20</xref>). Therefore, this paper employs bibliometric analysis to conduct an in-depth examination of the relevant literature, exploring the current status, advantages, limitations, and future prospects of this field. It is anticipated that these insights will positively influence the advancement of stem cell applications in bone regeneration and offer new directions for researchers in this field.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<p>In our study, we conducted a comprehensive literature search on December 2, 2024, utilizing the Web of Science Core Collection as our primary data source. The search terms were as follows: topic&#x202F;=&#x202F;cell delivery OR cell implantation OR cell therapy AND topic&#x202F;=&#x202F;mesenchymal stem cells OR MSCs AND topic&#x202F;=&#x202F;bone regeneration OR osteogenesis AND publishing year&#x202F;=&#x202F;(January 1, 2013, to December 31, 2023). To assess the obtained literature, we employed standard bibliometric indicators commonly used in the scientific community, such as total citations, average citations, and the <italic>H</italic>-index as proposed by Hirsch (<xref ref-type="bibr" rid="ref21">21</xref>). We obtained journal impact factors (IF) from Journal Citation Reports 2023 for analysis. We opted to use VOSviewer software to construct and visualize the bibliometric network of publications in our study (<xref ref-type="bibr" rid="ref22">22</xref>). In our study&#x2019;s visual depiction using VOSviewer, nodes represent various elements, with their sizes indicating the number of associated publications. The nodes&#x2019; colors signify the publication year, while the thickness of the interconnecting lines denotes the strength of collaboration or integration between these elements. CiteSpace (6.3. R1), developed by Professor Chaomei Chen, was used for country and institution collaboration analysis, journal dual-map overlay analysis, author collaboration and cited author analysis, cited literature and keyword cluster detection, and burst citation literature and keyword analysis (<xref ref-type="bibr" rid="ref23">23</xref>). We conducted analyses using CiteSpace (6.3. R1), incorporating parameters such as the link retention factor (LRF&#x202F;=&#x202F;2.5), the year of review (LBY&#x202F;=&#x202F;5), e (<italic>N</italic>&#x202F;=&#x202F;1), a time span from 2013 to 2023, 2&#x202F;years per slice, link strength (cosine, within the slice range), selection criteria based on the <italic>g</italic>-index (<italic>k</italic>&#x202F;=&#x202F;4), and minimum duration for keywords (MD&#x202F;=&#x202F;2 as a reference).</p>
</sec>
<sec sec-type="results" id="sec3">
<label>3</label>
<title>Result</title>
<sec id="sec4">
<label>3.1</label>
<title>Global paper publication trend</title>
<p>A total of 8,243 articles were collected from the Web of Science database. Among them, book chapters (57 articles), proceeding papers (29 articles), early access publications (12 articles), meeting abstracts (9 articles), editorial materials (24 articles), retracted publications (14 articles) and others (2 articles) were excluded. Additionally, 26 non-English studies were excluded. Finally, 8,070 articles met the inclusion criteria for the Web of Science database (<xref ref-type="fig" rid="fig1">Figure 1</xref>). We summarized the global literature trends (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). From 2013 to 2015, the annual publication counts steadily increased from 496 to 672. After 2016, the annual count fluctuated, peaking at 872 publications in 2020. Despite a slight decline in subsequent years, the overall trend in cumulative publications shows continuous growth, surpassing 8,000 by 2023. The top five countries with the highest number of articles are China (3,006 articles, 37.249%), the USA (1,668 articles, 20.669%), South Korea (545 articles, 6.753%), Germany (462 articles, 5.725%), and Japan (457 articles, 5.663%) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of literature search and selection.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Global publication trends and citation frequency and <italic>H</italic>-index levels in the application of MSCs in bone regeneration in different countries/regions. <bold>(A)</bold> Annual publication volume and cumulative publication volume globally on mesenchymal stem cell therapy in bone regeneration. <bold>(B)</bold> Top 10 countries or regions in terms of total citations in the field. <bold>(C)</bold> Top 10 countries or regions in terms of average citations per paper in the field. <bold>(D)</bold> Top 10 countries and regions in terms of <italic>H</italic>-index in the field of mesenchymal stem cell therapy for bone regeneration.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g002.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The top 10 countries with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Countries</th>
<th align="center" valign="top">Record count</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="center" valign="top">Total citations</th>
<th align="center" valign="top">Citation per article</th>
<th align="center" valign="top"><italic>H</italic>-index</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">People&#x2019;s Republic of China</td>
<td align="center" valign="middle">3,006</td>
<td align="char" valign="middle" char=".">37.249</td>
<td align="center" valign="middle">109,030</td>
<td align="char" valign="middle" char=".">36.24</td>
<td align="center" valign="middle">130</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">1,668</td>
<td align="char" valign="middle" char=".">20.669</td>
<td align="center" valign="middle">77,680</td>
<td align="char" valign="middle" char=".">48.04</td>
<td align="center" valign="middle">125</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">South Korea</td>
<td align="center" valign="middle">545</td>
<td align="char" valign="middle" char=".">6.753</td>
<td align="center" valign="middle">20,769</td>
<td align="char" valign="middle" char=".">38.11</td>
<td align="center" valign="middle">72</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Germany</td>
<td align="center" valign="middle">462</td>
<td align="char" valign="middle" char=".">5.725</td>
<td align="center" valign="middle">17,393</td>
<td align="char" valign="middle" char=".">37.65</td>
<td align="center" valign="middle">65</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Japan</td>
<td align="center" valign="middle">457</td>
<td align="char" valign="middle" char=".">5.663</td>
<td align="center" valign="middle">12,504</td>
<td align="char" valign="middle" char=".">27.36</td>
<td align="center" valign="middle">56</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Italy</td>
<td align="center" valign="middle">385</td>
<td align="char" valign="middle" char=".">4.771</td>
<td align="center" valign="middle">17,461</td>
<td align="char" valign="middle" char=".">45.35</td>
<td align="center" valign="middle">68</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">England</td>
<td align="center" valign="middle">314</td>
<td align="char" valign="middle" char=".">3.891</td>
<td align="center" valign="middle">14,397</td>
<td align="char" valign="middle" char=".">45.85</td>
<td align="center" valign="middle">62</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Iran</td>
<td align="center" valign="middle">314</td>
<td align="char" valign="middle" char=".">3.891</td>
<td align="center" valign="middle">8,997</td>
<td align="char" valign="middle" char=".">28.65</td>
<td align="center" valign="middle">47</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">India</td>
<td align="center" valign="middle">268</td>
<td align="char" valign="middle" char=".">3.321</td>
<td align="center" valign="middle">10,286</td>
<td align="char" valign="middle" char=".">38.38</td>
<td align="center" valign="middle">52</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Spain</td>
<td align="center" valign="middle">249</td>
<td align="char" valign="middle" char=".">3.086</td>
<td align="center" valign="middle">8,851</td>
<td align="char" valign="middle" char=".">35.5</td>
<td align="center" valign="middle">50</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec5">
<label>3.2</label>
<title>Author collaboration and co-citation</title>
<p>We collected a total of 8,070 articles involving 38,062 authors and visualized their collaboration networks (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), emphasizing the co-authorship connections among the top seven authors (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). The collaborative relationships between key authors were further analyzed using CiteSpace (<xref ref-type="fig" rid="fig3">Figure 3C</xref>). By examining the co-cited authors, we identified &#x201C;Caplan A. I.,&#x201D; &#x201C;Dominici M.,&#x201D; &#x201C;Friedenstein A. J.,&#x201D; &#x201C;Liu Y.,&#x201D; and &#x201C;Pittenger M. F.&#x201D; as the top five authors with the highest total connection strength, suggesting they may be central figures in the field (<xref ref-type="fig" rid="fig3">Figure 3D</xref>). Citation bursts, which indicate periods of frequent citations, revealed that these authors have experienced significant attention over time, serving as an important metric for their impact. The top 20 most-cited authors demonstrated the strongest citation bursts in publications related to mesenchymal stem cell applications (<xref ref-type="fig" rid="fig3">Figure 3E</xref>). &#x201C;Amini Ami R.&#x201D; ranked first with a burst strength of 29.34, followed by &#x201C;Hare J. M.&#x201D; with a burst strength of 22.25. Notably, &#x201C;Pittenger M. F.&#x201D; had the longest duration of citation bursts, spanning over 8&#x202F;years (2015&#x2013;2023). Interestingly, our analysis of the top 10 authors with the most publications revealed that nine out of the 10 are based in China (<xref ref-type="table" rid="tab2">Table 2</xref>). Additionally, we summarized the top 10 funding agencies supporting research in this field (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Mapping of authors in studies on MSCs therapy in bone regeneration. <bold>(A)</bold> Mapping of the identified authors in this field based on VOSviewer. The nodes represent countries/regions or institutions, and the lines connect them. The number of publications grows proportionally to the size of the nodes. The lines between the nodes represent the cooperation relationship, and the thickness of the connecting lines represents the strength of their cooperation; the closer the cooperation, the thicker the connecting lines. <bold>(B)</bold> Mapping of the seven-author co-authorship analysis in this field. <bold>(C)</bold> Author collaboration analysis based on CiteSpace. <bold>(D)</bold> Network visualization diagram of the co-cited authors of the publications. <bold>(E)</bold> Top 20 cited authors with the strongest citation bursts of publications related to MSCs therapy in bone regeneration. Author collaboration or co-cited authors are indicated by the node. The co-citation relationship is indicated by the line connecting the nodes. The node area grows as the number of co-citations increases. The colors represent different years. In <bold>(C)</bold>, the color changes from pink to purple from 2013 to 2023.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g003.tif"/>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The top 10 authors with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Author</th>
<th align="center" valign="top">Record Count</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="left" valign="top">Country</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Liu Y.</td>
<td align="center" valign="middle">111</td>
<td align="char" valign="middle" char=".">1.375</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Wang Y.</td>
<td align="center" valign="middle">104</td>
<td align="char" valign="middle" char=".">1.289</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Zhang Y.</td>
<td align="center" valign="middle">90</td>
<td align="char" valign="middle" char=".">1.115</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Zhang X.</td>
<td align="center" valign="middle">80</td>
<td align="char" valign="middle" char=".">0.991</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Li Y.</td>
<td align="center" valign="middle">78</td>
<td align="char" valign="middle" char=".">0.967</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Li J.</td>
<td align="center" valign="middle">69</td>
<td align="char" valign="middle" char=".">0.855</td>
<td align="left" valign="middle">USA</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Wang J.</td>
<td align="center" valign="middle">61</td>
<td align="char" valign="middle" char=".">0.756</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Zhang J.</td>
<td align="center" valign="middle">61</td>
<td align="char" valign="middle" char=".">0.756</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Wang X.</td>
<td align="center" valign="middle">60</td>
<td align="char" valign="middle" char=".">0.743</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Zhang L.</td>
<td align="center" valign="middle">58</td>
<td align="char" valign="middle" char=".">0.719</td>
<td align="left" valign="middle">China</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The top 10 funding agencies with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Funding agencies</th>
<th align="center" valign="top">Record Count</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="left" valign="top">Country</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">National Natural Science Foundation of China NSFC</td>
<td align="center" valign="middle">2,011</td>
<td align="char" valign="middle" char=".">24.919</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">United States Department of Health Human Services</td>
<td align="center" valign="middle">692</td>
<td align="char" valign="middle" char=".">8.575</td>
<td align="left" valign="middle">USA</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">National Institutes of Health NIH USA</td>
<td align="center" valign="middle">691</td>
<td align="char" valign="middle" char=".">8.563</td>
<td align="left" valign="middle">USA</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Ministry of Education Culture Sports Science and Technology Japan MEXT</td>
<td align="center" valign="middle">273</td>
<td align="char" valign="middle" char=".">3.383</td>
<td align="left" valign="middle">Japan</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">National Key Research Development Program of China</td>
<td align="center" valign="middle">270</td>
<td align="char" valign="middle" char=".">3.346</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Japan Society for the Promotion of Science</td>
<td align="center" valign="middle">261</td>
<td align="char" valign="middle" char=".">3.234</td>
<td align="left" valign="middle">Japan</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">European Union EU</td>
<td align="center" valign="middle">243</td>
<td align="char" valign="middle" char=".">3.011</td>
<td align="left" valign="middle">European Union EU</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Grants in Aid for Scientific Research KAKENHI</td>
<td align="center" valign="middle">242</td>
<td align="char" valign="middle" char=".">2.999</td>
<td align="left" valign="middle">Japan</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Fundamental Research Funds for the Central Universities</td>
<td align="center" valign="middle">170</td>
<td align="char" valign="middle" char=".">2.107</td>
<td align="left" valign="middle">China</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">China Postdoctoral Science Foundation</td>
<td align="center" valign="middle">160</td>
<td align="char" valign="middle" char=".">1.983</td>
<td align="left" valign="middle">China</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec6">
<label>3.3</label>
<title>National and institutional cooperation</title>
<p>In the co-authorship countries visualization shown in <xref ref-type="fig" rid="fig4">Figure 4A</xref>, it can be observed that the United States (strength&#x202F;=&#x202F;579) has the highest total connection strength, followed by China (strength&#x202F;=&#x202F;443), Germany (strength&#x202F;=&#x202F;175), and Japan (strength&#x202F;=&#x202F;121). In terms of publication output, China leads with 3,006 articles, followed by the United States (1,668 articles), South Korea (545 articles), Germany (462 articles), and Japan (457 articles) (<xref ref-type="table" rid="tab1">Table 1</xref>). There is a relatively close collaboration among China, the USA, South Korea, Germany, and Japan (<xref ref-type="fig" rid="fig4">Figure 4B</xref>). <xref ref-type="table" rid="tab4">Table 4</xref> lists the top 10 institutions publishing the most related literature, with Shanghai Jiao Tong University ranked first, followed by Sichuan University and the Chinese Academy of Sciences. These results are also reflected in <xref ref-type="fig" rid="fig4">Figure 4C</xref>. Among these institutions, there are relatively close connections between the Chinese Academy of Sciences, Shanghai Jiao Tong University, Sun Yat-sen University, Southern Medical University, and Sichuan University (<xref ref-type="fig" rid="fig4">Figure 4D</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Mapping of countries/regions and institutions associated with MSCs therapy in bone regeneration. Country/regional collaboration analysis based on VOSviewer <bold>(A)</bold> and CiteSpace <bold>(B)</bold>. <bold>(C)</bold> Institutional collaboration analysis based on CiteSpace. <bold>(D)</bold> Mapping of the 10-institution co-authorship analysis on MSCs therapy in bone regeneration based on VOSviewer. <bold>(E)</bold> The bibliographic coupling of different countries of citations related to MSCs therapy in bone regeneration on VOSviewer.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g004.tif"/>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>The top 10 institutions with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Institution</th>
<th align="center" valign="top">Article counts</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="left" valign="top">Country</th>
<th align="center" valign="top">Total citations</th>
<th align="center" valign="top">Average citation</th>
<th align="center" valign="top"><italic>H</italic>-index</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Shanghai Jiao Tong University</td>
<td align="center" valign="middle">317</td>
<td align="char" valign="middle" char=".">3.928</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">15,159</td>
<td align="char" valign="middle" char=".">47.82</td>
<td align="center" valign="middle">66</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Sichuan University</td>
<td align="center" valign="middle">231</td>
<td align="char" valign="middle" char=".">2.862</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">6,982</td>
<td align="char" valign="middle" char=".">30.23</td>
<td align="center" valign="middle">48</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Chinese Academy of Sciences</td>
<td align="center" valign="middle">230</td>
<td align="char" valign="middle" char=".">2.85</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">12,511</td>
<td align="char" valign="middle" char=".">54.4</td>
<td align="center" valign="middle">64</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Peking University</td>
<td align="center" valign="middle">166</td>
<td align="char" valign="middle" char=".">2.057</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">7,108</td>
<td align="char" valign="middle" char=".">42.82</td>
<td align="center" valign="middle">46</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Zhejiang University</td>
<td align="center" valign="middle">160</td>
<td align="char" valign="middle" char=".">1.983</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">6,506</td>
<td align="char" valign="middle" char=".">40.66</td>
<td align="center" valign="middle">47</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">University of California System</td>
<td align="center" valign="middle">158</td>
<td align="char" valign="middle" char=".">1.958</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">8,306</td>
<td align="char" valign="middle" char=".">52.57</td>
<td align="center" valign="middle">50</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Air Force Military Medical University</td>
<td align="center" valign="middle">141</td>
<td align="char" valign="middle" char=".">1.747</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">6,685</td>
<td align="char" valign="middle" char=".">47.41</td>
<td align="center" valign="middle">49</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Southern Medical University China</td>
<td align="center" valign="middle">135</td>
<td align="char" valign="middle" char=".">1.673</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">4,358</td>
<td align="char" valign="middle" char=".">32.28</td>
<td align="center" valign="middle">37</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Sun Yat-sen University</td>
<td align="center" valign="middle">135</td>
<td align="char" valign="middle" char=".">1.673</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">5,503</td>
<td align="char" valign="middle" char=".">40.76</td>
<td align="center" valign="middle">44</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Harvard University</td>
<td align="center" valign="middle">121</td>
<td align="char" valign="middle" char=".">1.499</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">7,643</td>
<td align="char" valign="middle" char=".">63.17</td>
<td align="center" valign="middle">48</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<label>3.4</label>
<title>Journals and research field</title>
<p>In this study, we identified 10 key research fields related to the topic (<xref ref-type="table" rid="tab5">Table 5</xref>). Among these, Cell Biology had the highest number of publications (2,273 papers, <italic>H</italic>-index&#x202F;=&#x202F;111), followed by Materials Science (2,197 papers, <italic>H</italic>-index&#x202F;=&#x202F;126) and Engineering (1,762 papers, <italic>H</italic>-index&#x202F;=&#x202F;108). The top 10 journals by publication volume were also identified, with Stem Cell Research and Therapy leading with 237 articles (impact factor&#x202F;=&#x202F;7.1, 2023), followed by the International Journal of Molecular Sciences with 228 articles (impact factor&#x202F;=&#x202F;4.9, 2023), and Acta Biomaterialia with 195 articles (impact factor&#x202F;=&#x202F;9.4, 2023). Other notable journals included Biomaterials (192 articles, impact factor&#x202F;=&#x202F;12.8, 2023) and Stem Cells International (162 articles, impact factor&#x202F;=&#x202F;3.8, 2023). Interestingly, the publication numbers across these journals were relatively similar (<xref ref-type="table" rid="tab6">Table 6</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The top 10 research areas with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Research areas</th>
<th align="center" valign="top">Article counts</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="center" valign="top">Citation per article</th>
<th align="center" valign="top"><italic>H</italic>-index</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Cell Biology</td>
<td align="center" valign="middle">2,273</td>
<td align="char" valign="middle" char=".">28.166</td>
<td align="char" valign="middle" char=".">34.55</td>
<td align="center" valign="middle">111</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Materials Science</td>
<td align="center" valign="middle">2,197</td>
<td align="char" valign="middle" char=".">27.224</td>
<td align="char" valign="middle" char=".">43.98</td>
<td align="center" valign="middle">126</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Engineering</td>
<td align="center" valign="middle">1,762</td>
<td align="char" valign="middle" char=".">21.834</td>
<td align="char" valign="middle" char=".">38.05</td>
<td align="center" valign="middle">108</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Research Experimental Medicine</td>
<td align="center" valign="middle">1,049</td>
<td align="char" valign="middle" char=".">12.999</td>
<td align="char" valign="middle" char=".">37.23</td>
<td align="center" valign="middle">88</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Science Technology Other Topics</td>
<td align="center" valign="middle">885</td>
<td align="char" valign="middle" char=".">10.967</td>
<td align="char" valign="middle" char=".">46.49</td>
<td align="center" valign="middle">96</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Chemistry</td>
<td align="center" valign="middle">785</td>
<td align="char" valign="middle" char=".">9.727</td>
<td align="char" valign="middle" char=".">42.51</td>
<td align="center" valign="middle">86</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Biotechnology Applied Microbiology</td>
<td align="center" valign="middle">718</td>
<td align="char" valign="middle" char=".">8.897</td>
<td align="char" valign="middle" char=".">34.02</td>
<td align="center" valign="middle">73</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Biochemistry Molecular Biology</td>
<td align="center" valign="middle">717</td>
<td align="char" valign="middle" char=".">8.885</td>
<td align="char" valign="middle" char=".">35.98</td>
<td align="center" valign="middle">75</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Pharmacology Pharmacy</td>
<td align="center" valign="middle">547</td>
<td align="char" valign="middle" char=".">6.778</td>
<td align="char" valign="middle" char=".">35.01</td>
<td align="center" valign="middle">66</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Orthopedics</td>
<td align="center" valign="middle">375</td>
<td align="char" valign="middle" char=".">4.647</td>
<td align="char" valign="middle" char=".">33.62</td>
<td align="center" valign="middle">53</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>The top 10 journals with the most publications related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Publication titles</th>
<th align="center" valign="top">Record count</th>
<th align="center" valign="top">Percentage (<italic>N</italic>/8,070)</th>
<th align="center" valign="top">Citation per article</th>
<th align="center" valign="top"><italic>H</italic>-index</th>
<th align="center" valign="top">IF</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Stem Cell Research Therapy</td>
<td align="center" valign="middle">237</td>
<td align="char" valign="middle" char=".">2.937</td>
<td align="char" valign="middle" char=".">48.76</td>
<td align="center" valign="middle">55</td>
<td align="char" valign="middle" char=".">7.1</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">International Journal of Molecular Sciences</td>
<td align="center" valign="middle">228</td>
<td align="char" valign="middle" char=".">2.825</td>
<td align="char" valign="middle" char=".">32.71</td>
<td align="center" valign="middle">48</td>
<td align="char" valign="middle" char=".">4.9</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Acta Biomaterialia</td>
<td align="center" valign="middle">195</td>
<td align="char" valign="middle" char=".">2.416</td>
<td align="char" valign="middle" char=".">61.99</td>
<td align="center" valign="middle">66</td>
<td align="char" valign="middle" char=".">9.4</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Biomaterials</td>
<td align="center" valign="middle">192</td>
<td align="char" valign="middle" char=".">2.379</td>
<td align="char" valign="middle" char=".">78.88</td>
<td align="center" valign="middle">78</td>
<td align="char" valign="middle" char=".">12.8</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Stem Cells International</td>
<td align="center" valign="middle">162</td>
<td align="char" valign="middle" char=".">2.007</td>
<td align="char" valign="middle" char=".">36.95</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">3.8</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Tissue Engineering Part A</td>
<td align="center" valign="middle">148</td>
<td align="char" valign="middle" char=".">1.834</td>
<td align="char" valign="middle" char=".">29.56</td>
<td align="center" valign="middle">39</td>
<td align="char" valign="middle" char=".">3.5</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Scientific Reports</td>
<td align="center" valign="middle">128</td>
<td align="char" valign="middle" char=".">1.586</td>
<td align="char" valign="middle" char=".">35.77</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">3.8</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Frontiers in Bioengineering and Biotechnology</td>
<td align="center" valign="middle">121</td>
<td align="char" valign="middle" char=".">1.499</td>
<td align="char" valign="middle" char=".">19.26</td>
<td align="center" valign="middle">25</td>
<td align="char" valign="middle" char=".">4.3</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Journal of Materials Chemistry B</td>
<td align="center" valign="middle">118</td>
<td align="char" valign="middle" char=".">1.462</td>
<td align="char" valign="middle" char=".">36.27</td>
<td align="center" valign="middle">39</td>
<td align="char" valign="middle" char=".">6.1</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Journal of Tissue Engineering and Regenerative Medicine</td>
<td align="center" valign="middle">114</td>
<td align="char" valign="middle" char=".">1.413</td>
<td align="char" valign="middle" char=".">28.06</td>
<td align="center" valign="middle">32</td>
<td align="char" valign="middle" char=".">3.1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We conducted a visual analysis of reference citations across journals (<xref ref-type="fig" rid="fig5">Figure 5A</xref>) and performed co-clustering analysis using CiteSpace (<xref ref-type="fig" rid="fig5">Figure 5B</xref>). Key research hotspots identified include &#x201C;mesenchymal stem cells,&#x201D; &#x201C;graphene oxide,&#x201D; and &#x201C;bone tissue engineering.&#x201D; Using VOSviewer, we visualized the citation relationships among journals (<xref ref-type="fig" rid="fig5">Figure 5C</xref>), with the top five journals by total link strength being Biomaterials (2,717,148), Acta Biomaterialia (1,173,617), Stem Cells (895,597), PLoS One (841,759), and Tissue Engineering Part A (807,800). Additionally, we highlighted the top 15 journals with the highest citation rates in publications related to mesenchymal stem cell therapy for bone regeneration (<xref ref-type="fig" rid="fig5">Figure 5D</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Articles published and cited in different journals on MSCs therapy in bone regeneration. <bold>(A)</bold> Visual analysis of the references cited across various journals using CiteSpace. <bold>(B)</bold> Clustering analysis of the co-cited journal network. <bold>(C)</bold> Mapping of the identified journals based on VOSviewer. <bold>(D)</bold> Top 15 journals with the strongest citation bursts of publications related to MSCs therapy in bone regeneration.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g005.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>3.5</label>
<title>Literature citation</title>
<p><xref ref-type="fig" rid="fig4">Figure 4E</xref> shows the citation frequency by different countries and regions, with China leading at 2,432,564 citations, significantly ahead of the USA (2,344,484 citations), South Korea (661,042 citations), Italy (678,669 citations), and Germany (838,267 citations). Among the top 10 countries and regions with the highest average citation frequency (<xref ref-type="table" rid="tab1">Table 1</xref>) (<xref ref-type="fig" rid="fig2">Figure 2B</xref>, <xref ref-type="fig" rid="fig2">2C</xref>), the USA has the highest average citation frequency (48.04 citations), followed by England (45.85 citations), Italy (45.35 citations), India (38.38 citations), and South Korea (38.11 citations). We also analyzed the top 10 countries with the highest <italic>H</italic>-index in related publications (<xref ref-type="fig" rid="fig2">Figure 2D</xref>), with China (<italic>H</italic>-index&#x202F;=&#x202F;130) and the USA (<italic>H</italic>-index&#x202F;=&#x202F;125) leading, followed by South Korea (<italic>H</italic>-index&#x202F;=&#x202F;72), Italy (<italic>H</italic>-index&#x202F;=&#x202F;68), and Germany (<italic>H</italic>-index&#x202F;=&#x202F;65).</p>
</sec>
<sec id="sec9">
<label>3.6</label>
<title>Keyword</title>
<p>We conducted a keyword network visualization of the collected articles (<xref ref-type="fig" rid="fig6">Figure 6A</xref>). Among the 19,426 keywords, the top five with the highest total connection strength are &#x201C;mesenchymal stem cells&#x201D; (total link strength&#x202F;=&#x202F;24,809), &#x201C;differentiation&#x201D; (total link strength&#x202F;=&#x202F;16,154), &#x201C;regeneration&#x201D; (total link strength&#x202F;=&#x202F;15,189), &#x201C;<italic>in vitro</italic>&#x201D; (total link strength&#x202F;=&#x202F;14,407), and &#x201C;bone-marrow&#x201D; (total link strength&#x202F;=&#x202F;12,233). We also visualized these keywords based on their average publication year (<xref ref-type="fig" rid="fig6">Figure 6B</xref>). Using CiteSpace, we created a visualization of these keywords (<xref ref-type="fig" rid="fig6">Figure 6C</xref>) and performed cluster analysis to establish a visual clustering of keywords (<xref ref-type="fig" rid="fig6">Figure 6D</xref>). Finally, we identified the 20 keywords with the most significant citation growth, finding that &#x201C;extracellular vesicles&#x201D; had the most significant citation growth strength (strength&#x202F;=&#x202F;43.93, 2021&#x2013;2023) (<xref ref-type="fig" rid="fig6">Figure 6E</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Mapping of keywords in studies on MSCs therapy in bone regeneration. <bold>(A)</bold> Network visualization of keywords by VOSviewer. <bold>(B)</bold> Distribution of keywords according to average publication year (blue: earlier, yellow: later) by VOSviewer. <bold>(C)</bold> Clustering analysis of the keyword network based on CiteSpace. <bold>(D)</bold> Keyword timeline visualization from 2013 to 2023 by CiteSpace. <bold>(E)</bold> The 20 keywords with the strongest citation bursts related to MSCs therapy in bone regeneration.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g006.tif"/>
</fig>
</sec>
<sec id="sec10">
<label>3.7</label>
<title>References</title>
<p>A total of 128 out of the 261,144 cited references meet the threshold of being cited at least 80 times (<xref ref-type="fig" rid="fig7">Figure 7A</xref>). Among the top 5 most cited review articles (<xref ref-type="table" rid="tab7">Table 7</xref>), &#x201C;Clinical trials with mesenchymal stem cells: an update&#x201D; was cited 1,023 times (<xref ref-type="bibr" rid="ref24">24</xref>), followed by &#x201C;Materials design for bone-tissue engineering&#x201D; cited 1,016 times (<xref ref-type="bibr" rid="ref25">25</xref>) and &#x201C;Alginate-based biomaterials for regenerative medicine applications&#x201D; cited 907 times (<xref ref-type="bibr" rid="ref26">26</xref>). In the top 5 most cited research articles (<xref ref-type="table" rid="tab8">Table 8</xref>), &#x201C;Bone substitutes in orthopaedic surgery: from basic science to clinical practice&#x201D; was cited 772 times (<xref ref-type="bibr" rid="ref27">27</xref>), &#x201C;Intra-articular injection of mesenchymal stem cells for the treatment of osteoarthritis of the knee: a proof-of-concept clinical trial&#x201D; was cited 651 times (<xref ref-type="bibr" rid="ref28">28</xref>) and &#x201C;Extracellular vesicles improve post-stroke neuroregeneration and prevent postischemic immunosuppression&#x201D; was cited 577 times (<xref ref-type="bibr" rid="ref29">29</xref>). We performed co-cited references visualization for this field using CiteSpace (<xref ref-type="fig" rid="fig7">Figure 7B</xref>) and conducted a cluster visualization analysis of the references (<xref ref-type="fig" rid="fig7">Figure 7C</xref>) and found that &#x201C;extracellular vesicles,&#x201D; &#x201C;cardiac regeneration,&#x201D; and &#x201C;bone tissue engineering&#x201D; are hot topics in the references.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Mapping of cited references in studies on MSCs therapy in bone regeneration. Mapping of the co-cited references related to this field based on VOSviewer <bold>(A)</bold> and CiteSpace <bold>(B)</bold>. <bold>(C)</bold> Clustering analysis of the co-cited reference network based on CiteSpace. <bold>(D)</bold> Top 10 references with the strongest citation bursts of publications related to MSCs targeted therapy in bone regeneration.</p>
</caption>
<graphic xlink:href="fmed-11-1484097-g007.tif"/>
</fig>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>The top five review articles with the most citations related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Title</th>
<th align="left" valign="top">Corresponding author</th>
<th align="left" valign="top">Journal</th>
<th align="center" valign="top">IF</th>
<th align="center" valign="top">Publication year</th>
<th align="center" valign="top">Total citations</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Clinical trials with mesenchymal stem cells: an update</td>
<td align="left" valign="middle">Squillaro, Tiziana</td>
<td align="left" valign="middle">Cell Transplantation</td>
<td align="char" valign="middle" char=".">3.2</td>
<td align="center" valign="middle">2016</td>
<td align="center" valign="middle">1,023</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Materials design for bone-tissue engineering</td>
<td align="left" valign="middle">Koons, Gerry L.</td>
<td align="left" valign="middle">Nature Reviews Materials</td>
<td align="char" valign="middle" char=".">79.8</td>
<td align="center" valign="middle">2020</td>
<td align="center" valign="middle">1,016</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Alginate-based biomaterials for regenerative medicine applications</td>
<td align="left" valign="middle">Sun, Jinchen</td>
<td align="left" valign="middle">Materials</td>
<td align="char" valign="middle" char=".">3.1</td>
<td align="center" valign="middle">2013</td>
<td align="center" valign="middle">907</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Mesenchymal stem cells: environmentally responsive therapeutics for regenerative medicine</td>
<td align="left" valign="middle">Murphy, Matthew B.</td>
<td align="left" valign="middle">Experimental and Molecular Medicine</td>
<td align="char" valign="middle" char=".">9.5</td>
<td align="center" valign="middle">2013</td>
<td align="center" valign="middle">869</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Biomimetic porous scaffolds for bone tissue engineering</td>
<td align="left" valign="middle">Wu, Shuilin</td>
<td align="left" valign="middle">Materials Science &#x0026; Engineering R-Reports</td>
<td align="char" valign="middle" char=".">31.6</td>
<td align="center" valign="middle">2014</td>
<td align="center" valign="middle">848</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>The top five research articles with the most citations related to MSCs therapy for bone regeneration.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Rank</th>
<th align="left" valign="top">Title</th>
<th align="left" valign="top">Corresponding author</th>
<th align="left" valign="top">Journal</th>
<th align="center" valign="top">IF</th>
<th align="center" valign="top">Publication year</th>
<th align="center" valign="top">Total citations</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Bone substitutes in orthopaedic surgery: from basic science to clinical practice</td>
<td/>
<td align="left" valign="middle">Journal of Materials Science-Materials In Medicine</td>
<td align="char" valign="middle" char=".">4.2</td>
<td align="center" valign="middle">2014</td>
<td align="center" valign="middle">772</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Intra-articular injection of mesenchymal stem cells for the treatment of osteoarthritis of the knee: a proof-of-concept clinical trial</td>
<td align="left" valign="middle">Jo, Chris Hyunchul</td>
<td align="left" valign="middle">Stem Cells</td>
<td align="char" valign="middle" char=".">4</td>
<td align="center" valign="middle">2014</td>
<td align="center" valign="middle">651</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Extracellular vesicles improve post-stroke neuroregeneration and prevent postischemic immunosuppression</td>
<td align="left" valign="middle">Doeppner, Thorsten R.</td>
<td align="left" valign="middle">Stem Cells Translational Medicine</td>
<td align="char" valign="middle" char=".">5.4</td>
<td align="center" valign="middle">2015</td>
<td align="center" valign="middle">577</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Adipocyte accumulation in the bone marrow during obesity and aging impairs stem cell-based hematopoietic and bone regeneration</td>
<td align="left" valign="middle">Ambrosi, Thomas H.</td>
<td align="left" valign="middle">Cell Stem Cell</td>
<td align="char" valign="middle" char=".">19.8</td>
<td align="center" valign="middle">2017</td>
<td align="center" valign="middle">556</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Exosomes derived from human embryonic mesenchymal stem cells promote osteochondral regeneration</td>
<td align="left" valign="middle">Zhang, S.</td>
<td align="left" valign="middle">Osteoarthritis and Cartilage</td>
<td align="char" valign="middle" char=".">7.2</td>
<td align="center" valign="middle">2016</td>
<td align="center" valign="middle">485</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec11">
<label>4</label>
<title>Discussion</title>
<sec id="sec12">
<label>4.1</label>
<title>Publication trends of this research</title>
<p>Our team conducted a bibliometric analysis of papers published between 2013 and 2023 to explore the progress and future directions in the field of mesenchymal stem cells for bone regeneration. During this period, the global number of papers on this topic showed a fluctuating upward trend, with a peak of 872 papers published in 2020. Although the number of papers published annually has generally increased, this trend was not statistically significant. On a global scale, China and the United States published far more papers than other countries/regions, together accounting for more than 50% of the total papers published in this field worldwide. Interestingly, we found that nine out of the top 10 authors with the highest citation counts were all from China. Furthermore, not only did China publish more papers than the U.S., but its <italic>H</italic>-index also surpassed that of the U.S., reflecting the significant contributions made by Chinese researchers in this field. However, in terms of average citation count, China ranked 7th, indicating that while China has a large number of papers, the academic impact of each paper is relatively lower. It is also worth noting that only four Chinese institutions appeared in the top 10 institutions by publication volume. This suggests that to enhance a country&#x2019;s academic standing, it is not only necessary to establish top-tier research institutions and increase research investment but also to focus on improving research quality and avoiding an overemphasis on quantity.</p>
<p>Among the top 10 journals in this field, the leading ones focus on Cell Biology, Materials Science, Engineering, and Research Experimental Medicine. &#x201C;Cell Biology&#x201D; and &#x201C;Materials Science&#x201D; not only publish a large number of articles but also have high <italic>H</italic>-indices. This indicates that in this field, authors are more inclined to focus on cell biology and materials, which are highly relevant to the topic.</p>
</sec>
<sec id="sec13">
<label>4.2</label>
<title>Hotpots and frontiers of this research</title>
<p>Highly explosive keywords can predict emerging directions. The current network reflects all keywords included in publication titles or abstracts, which we divide into two parts: mesenchymal stem cells and bone regeneration by tissue engineering.</p>
<sec id="sec14">
<label>4.2.1</label>
<title>Mesenchymal stem cells</title>
<p>Mesenchymal stem cells (MSCs) are multipotent stem cells with unique self-renewal ability, pluripotency, and genomic stability (<xref ref-type="bibr" rid="ref30 ref31 ref32 ref33 ref34">30&#x2013;34</xref>). They are capable of exhibiting multipotent differentiation, making them promising candidates for cell therapy. MSCs are found not only in fetal tissues but also in many adult tissues, with few exceptions (<xref ref-type="bibr" rid="ref35">35</xref>). According to the standards set by the International Society for Cell Therapy, the expression of specific cell surface markers is one of the fundamental characteristics of MSCs. Cells expressing CD73, CD90, and CD105 are considered MSCs with positive expression, while those expressing CD14, CD34, CD45, and HLA-DR are considered negative (<xref ref-type="bibr" rid="ref36">36</xref>). MSCs can be induced to differentiate into adipocytes, chondrocytes, or osteocytes (<xref ref-type="bibr" rid="ref37">37</xref>). In addition to their differentiation potential, MSCs also exhibit immunomodulatory properties, regulating, immune responses through the secretion of anti-inflammatory cytokines and interactions with immune cells (<xref ref-type="bibr" rid="ref38 ref39 ref40 ref41 ref42 ref43">38&#x2013;43</xref>). They also promote tissue repair and regeneration by secreting trophic factors that facilitate angiogenesis, inhibit cell apoptosis, and modulate the local microenvironment (<xref ref-type="bibr" rid="ref44 ref45 ref46 ref47 ref48">44&#x2013;48</xref>). Therefore, MSCs have a promising application in the field of bone regeneration and tissue engineering.</p>
</sec>
<sec id="sec15">
<label>4.2.2</label>
<title>Bone regeneration by tissue engineering</title>
<p>Bone regeneration is a highly intricate biological process that involves the regulation of inflammation by immune cells (<xref ref-type="bibr" rid="ref49">49</xref>), the impact of neurotrophic factors on bone repair, angiogenesis providing nutrients, and the involvement of osteoblasts and mesenchymal stem cells in the formation and remodeling of new bone tissue (<xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). These processes are finely regulated by a range of biological factors and signaling molecules, including growth factors, cytokines, and neurotrophic factors, whose coordinated actions ultimately determine the speed and quality of bone regeneration (<xref ref-type="bibr" rid="ref52">52</xref>).</p>
<p>To enhance the regeneration of damaged or deficient bone, several strategies are available, including autologous bone grafts, vascularized fiber grafts, allogeneic grafts, bone tissue engineering, and distraction osteogenesis (<xref ref-type="bibr" rid="ref53 ref54 ref55 ref56">53&#x2013;56</xref>). Among these, bone tissue engineering, which combines cells, scaffold materials, and growth factors to repair, replace, or enhance tissue function, has emerged as a highly promising approach for treating bone defects (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). In the field, biomaterials play a crucial role as they can serve as carriers for cells, allowing for targeted implantation at the lesion site, and providing an optimal growth environment for the implanted cells (<xref ref-type="bibr" rid="ref59">59</xref>, <xref ref-type="bibr" rid="ref60">60</xref>).</p>
<p>Collectively, these approaches promote bone repair and regeneration by providing scaffold support, promoting cell proliferation and differentiation, stimulating angiogenesis, repairing and remodeling bone tissue, and ensuring graft integration and stability. These are widely utilized in the field of bone defects.</p>
</sec>
</sec>
<sec id="sec16">
<label>4.3</label>
<title>Prospects of this research</title>
<p>Based on the above analysis and illustrations, we can observe that over the past 10&#x202F;years, mesenchymal stem cell (MSC) therapy in the field of bone regeneration has mainly gone through a process from basic research to applied research, and then to clinical application. Early research by scientists was primarily focused on the basic characteristics and differentiation mechanisms of cells, which laid a solid foundation for future studies. During the mid-term phase, the focus shifted towards exploring methods to optimize differentiation and proliferation conditions. With the continuous advancement of technology, researchers have increasingly concentrated on clinical applications and personalized treatment strategies. For instance, they have utilized various technologies to enhance the targeting of MSCs and have developed personalized stem cell treatments tailored to the individual, aiming to improve therapeutic outcomes.</p>
<p>Despite some progress, several challenges remain in using MSCs for bone regeneration therapy. Firstly, issues related to cellular aging and functional decline during <italic>in vitro</italic> expansion affect not only MSCs derived from patients but also allogeneic MSCs from healthy donors (<xref ref-type="bibr" rid="ref61">61</xref>). Secondly, the immune response is another critical issue, as the efficacy of MSC transplantation is significantly influenced by the patient&#x2019;s immune status, and allogeneic MSC transplantation may trigger immune rejection (<xref ref-type="bibr" rid="ref62">62</xref>). Additionally, although technical advancements have improved cell viability, the post-implantation survival rate remains a pressing issue.</p>
<p>To overcome these challenges, future research needs to further explore and develop new strategies and methods. This includes improving <italic>in vitro</italic> expansion techniques to minimize cellular aging, optimizing immunomodulatory strategies to reduce the risk of immune rejection, and enhancing the survival rate and functionality of MSCs <italic>in vivo</italic>. Through these efforts, MSC targeted therapies are expected to achieve safer and more effective applications in the field of bone regeneration.</p>
</sec>
<sec id="sec17">
<label>4.4</label>
<title>Advances and limitations of this research</title>
<p>This study employed bibliometric and visualization analysis methods to explore the literature on mesenchymal stem cell therapy for bone regeneration over the past 10&#x202F;years. While our findings are comprehensive and objective, there are inevitable limitations. Firstly, we used only the Web of Science Core Collection (WOSCC) for literature retrieval, excluding other databases such as PubMed, Scopus, Cochrane, and Embase. Although WOSCC is a widely used authoritative comprehensive database, this may have led to the omission of some relevant literature, resulting in potential selection bias. Secondly, we excluded non-English literature and non-research/review articles, which may overlook relevant studies published in other languages. Chinese publications, in particular, have made significant contributions in this field. Review and research articles are valuable publication types, each with its unique role and value. Therefore, we did not separately discuss research and review articles. Furthermore, we did not include articles published after January 2024, which may introduce a degree of predictive bias in the relevance analysis. Lastly, we did not consider the quality of the publications in certain analyses, treating high-quality and low-quality publications equally.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec18">
<label>5</label>
<title>Conclusion</title>
<p>We conducted an in-depth study on the application of MSCs in bone regeneration therapy, summarizing the development trends in this field over the past 10&#x202F;years through comprehensive literature analysis and visualization methods. We systematically analyzed global research dynamics and identified influential authors, institutions, and journals. Through co-occurrence analysis of keywords and research directions, we accurately captured the hotspots and emerging trends of MSCs in bone regeneration therapy. Our study comprehensively summarized the current status of MSCs in bone regeneration therapy, outlined the main focuses of research, and provided a forward-looking analysis of future trends. Our work aims to deepen the understanding of MSCs in bone regeneration therapy, provide insights to researchers, guide future research directions, and promote the translation and application of research outcomes. In the future, we will continue to explore the potential applications and mechanisms of MSCs, optimize treatment regimens, and improve treatment efficacy and biocompatibility. Additionally, we will enhance interdisciplinary collaboration to advance the clinical application of MSCs in bone regeneration therapy, aiming to provide more effective treatment options for patients and improve their quality of life. In summary, our study comprehensively elucidates the current status of MSCs in the field of bone regeneration therapy and provides an outlook on future directions, aiming to drive progress in this field, accelerate the translation of relevant research outcomes into clinical practice, and contribute to the development of bone regeneration therapy.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>QC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YS: Investigation, Software, Writing &#x2013; review &#x0026; editing. ZY: Validation, Writing &#x2013; review &#x0026; editing. QL: Validation, Writing &#x2013; review &#x0026; editing. YK: Funding acquisition, Writing &#x2013; review &#x0026; editing. DX: Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing. HL: Conceptualization, Formal analysis, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was funded by grants from Natural Science Foundation of Beijing Municipality (L222087, L232094, and L242140), the National Natural Science Foundation of China (82302776) and Peking University People&#x2019;s Hospital Scientific Research Development Funds (RDJP2022-04, RDGS2023-04, RDX2023-12, and RS2024-04).</p>
</sec>
<sec sec-type="COI-statement" id="sec21">
<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="sec22">
<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>
<ref-list>
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