Abstract
PURPOSE: This study aims to explore the emerging trends, dynamic development, and research hotspots of clustered regularly interspaced short palindromic repeats (CRISPR) technology associated with extracellular vesicles during the past 7 years and demonstrate them by visualization. METHODS: A total of 219 records related to CRISPR technology associated with extracellular vesicles from 2015 to 2022 in the Web of Science Core Collection (WoSCC) database were collected. R language, VOSviewer, CiteSpace, and GraphpadPrism software packages were used to analyze the history of this research, the general characteristics of the literature, and keywords. Finally, the hotspots and latest trends in CRISPR technology associated with extracellular vesicles are predicted. RESULTS: A total of 219 articles were collected for this study. The production of publications about CRISPR technology associated with extracellular vesicles has increased annually. Researchers from China, the USA, and Germany made the most important contributions to this trend, while RLUK Research Libraries UK offers the largest amount of literature in this field. Shenzhen University, Nanjing Medicine University, and Peking University exhibited the closest cooperation. Additionally, active topics burst during different periods, as identified according to 317 keywords belonging to 39 disciplines. Keywords were clustered into seven research subareas, namely exosome, nanovesicles, DNA, gene editing, gene therapy, cancer therapy, and endometrial stromal cells. The alluvial map of keywords reveals that the most enduring concepts are gene therapy, nanovesicles, etc., while the emerging keywords are genome, protein delivery, plasma, etc. CONCLUSIONS: We reviewed 219 previous publications and conducted the first bibliometric study of CRISPR technology related to extracellular vesicles from 2015 to 2022. This comprehensive summary constructed a knowledge map and demonstrates the trends in this area. The current trends and potential hotpots for this topic are also identified, which will be a great help for researchers in the future.