A bibliometric analysis of non-coding RNA and mesenchymal stem cell research
- VernacularTitle:非编码RNA与间充质干细胞研究的相关计量学分析
- Author:
Jiaxin ZHOU
1
;
Jiang TAO
Author Information
- Keywords: non-coding RNA; mesenchymal stem cell; bibliometric analysis; visual analysis; hotspot prospect; knowledge base; CiteSpace; action mechanism; extracellular vesicle; translational application
- From: Chinese Journal of Tissue Engineering Research 2025;29(1):87-94
- CountryChina
- Language:Chinese
- Abstract: BACKGROUND:Non-coding RNA,as a class of RNA molecules that do not encode proteins,plays a crucial role in cellular regulation.Simultaneously,mesenchymal stem cells possess multipotent differentiation capabilities,making them vital for tissue repair and regeneration.In recent years,researchers have extensively explored the role of non-coding RNA in regulating the functions of mesenchymal stem cells. OBJECTIVE:To systematically understand the trends and key areas of research related to non-coding RNA and mesenchymal stem cells through bibliometric analysis. METHODS:Literature data on non-coding RNA and mesenchymal stem cell-related research were retrieved from the Science Citation Index Expanded in the Web of Science Core Collection from 1990 to the present.The literature data were analyzed using bibliometric tools such as VOSviewer and CiteSpace,focusing on publication output,clustering,citation frequency,burstiness,and intermediary centrality with respect to years,countries or regions,research institutions,cited references,and keywords.This analysis aimed to reveal the knowledge base and emerging hotspots in the research field. RESULTS AND CONCLUSION:(1)This study included a total of 5 348 articles for analysis,showing a significant growth trend in relevant literature from 1997 to 2021.Although there was a slight decrease in 2022,the publication output remained at a high level.China dominated the research in this field,with Shanghai Jiao Tong University being the most active contributor.(2)Analysis of cited references revealed that highly bursty,intermediary,and cited articles were mainly related to topics such as microRNA,extracellular vesicles,and bone metabolism.These articles constitute an important knowledge base for research on non-coding RNA and mesenchymal stem cells.(3)Burstiness analysis of keywords identified persistent bursts in keywords such as exosomes,circular RNA,extracellular vesicles,and injury.(4)Cluster evolution analysis of keywords with continuous growth in publication output included clusters related to tumor microenvironment,osteoarthritis,oxidative stress,and extracellular vesicles.These keywords reflect the current and future research hotspots in the field.(5)The findings of this study not only illustrate the research trends in the field of non-coding RNA and mesenchymal stem cells but also provide potential directions and insights for researchers.
