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. 2024 Sep 5;10(18):e37529.
doi: 10.1016/j.heliyon.2024.e37529. eCollection 2024 Sep 30.

Hotspots and trends in satellite cell research in muscle regeneration: A bibliometric visualization and analysis from 2010 to 2023

Nan Huang  1   2   3   4 , Kang Zou  5 , Yanbiao Zhong  1   2   3 , Yun Luo  1   2   3 , Maoyuan Wang  1   2   3 , Li Xiao  1   2   3
Affiliations

Hotspots and trends in satellite cell research in muscle regeneration: A bibliometric visualization and analysis from 2010 to 2023

Nan Huang et al. Heliyon. .

Abstract

Background: The incidence of muscle atrophy or sports injuries is increasing with time and population aging, thereby attracting considerable attention to muscle generation research. Muscle satellite cells, which play an important role in this process, lack comprehensive literature regarding their use for muscle regeneration. Hence, this study aimed to analyze the hotspots and trends in satellite cell research from 2010 to 2023, providing a reference for muscle regeneration research.

Methods: Studies on satellite cells' role in muscle regeneration from 2010 to 2023 were retrieved from the Web of Science Core Collection. Using CiteSpace and VOSviewer, we analyzed annual publications, authors and co-citing authors, countries and institutions, journals and co-citing journals, co-citing references, and keywords.

Results: From 2010 to 2023, 1468 papers were retrieved, indicating an overall increasing trend in the number of annual publications related to satellite cells in muscle regeneration. The United States had the highest number of publications, while the Institut National de la Santé et de la Recherche Médicale was the institution with the most publications. Among journals, " PloS One" had the highest number of published papers, and "Cell" emerged as the most co-cited journal. A total of 7425 authors were involved, with Michael A. Rudnicki being the author with the highest number of publications and the most co-cited author. The most cited reference was "Satellite cells and the muscle stem cell niche." Among keywords, "satellite cells" was the most common, with "heterogeneity" having the highest centrality. Frontier themes included "Duchenne muscular dystrophy," "skeletal muscle," "in-vivo," "muscle regeneration," "mice," "muscle atrophy," "muscle fibers," "inflammation," " mesenchymal stem cells," and "satellite cell."

Conclusion: This study presents the current status and trends in satellite cell research on muscle regeneration from 2010 to 2023 using bibliometric analyses, providing valuable insights into numerous future research directions.

Keywords: Bibliometrics; Muscle atrophy; Muscle injury; Muscle regeneration; Satellite cells.

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Conflict of interest statement

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Li Xiao reports financial support was provided by Ganzhou Municipal 10.13039/100018696Health Commission (2022-2-088). Li Xiao reports financial support was provided by Jiangxi Provincial Administration of Traditional Chinese Medicine (2022A264). Li Xiao reports financial support was provided by 10.13039/501100020205Health Commission of Jiangxi Province (202,310,737). Li Xiao reports financial support was provided by Ganzhou guiding science and Technology Plan (GZ2023ZSF131). If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
The search process.
Fig. 2
Fig. 2
Annual number of published articles from 2010 to 2023.
Fig. 3
Fig. 3
Distribution of muscle regeneration and myosatellite cells countries and cited journals from 2010 to 2023 (A. Network view B. Density view C. Network view D. Density view).
Fig. 4
Fig. 4
Institutional branch network and Co-author network map.
Fig. 5
Fig. 5
cited references map. (A. Network view B. Reference clustering view C. Top 10 cited references).
Fig. 6
Fig. 6
Keywords Network map and clustering map (A. Network view B. Clustering view).
Fig. 7
Fig. 7
Visualization map of top 25 keyword with the strongest citation bursts and visualization map of timeline viewer (A. Top 25 keywords B. Timeline graph).
See this image and copyright information in PMC

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