Artificial intelligence (ai)-powered bibliometric analysis of global trends in mesenchymal stem cells (mscs)-derived exosome research: 2014-2023

HIGHLIGHTS

  • What: Employing AI-bibliometric software such as Bibliometrix, CiteSpace, and VOSviewer, the study will examine publication output, institutional collaborations, research focus areas, and citation patterns. The aim is to find crucial global research themes, collaborative frameworks, and research trends in MSCs-derived exosome studies, focusing on how they can be used in cell therapy and regenerative medicine. This study analyzes MSCs-derived exosomes` development trends and research impact. These findings highlight the growing prominence of MSCs-derived exosomes as an emerging research focus, continually drawing worldwide interest and resources.
  • Who: Shih-Chang Tsai et al . . .

     

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