TY - JOUR AU - Wang, Quan AU - Yang, Ke-Lu AU - Zhang, Zhen AU - Wang, Zhu AU - Li, Chen AU - Li, Lun AU - Tian, Jin-Hui AU - Ye, Ying-Jiang AU - Wang, Shan AU - Jiang, Ke-Wei PY - 2021 DA - 2021/8/10 TI - Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis JO - J Med Internet Res SP - e25789 VL - 23 IS - 8 KW - single-cell sequencing KW - bibliometric analysis KW - cancer KW - cancer genomics KW - bioinformatics KW - cancer subtyping KW - tumor dissociation KW - tumor microenvironment KW - precision medicine KW - immunology KW - development trends KW - hotspots KW - research topics KW - Web of Science KW - CiteSpace KW - VOSviewer KW - network AB - Background: As single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years. Objective: The aim of this paper was to illustrate collaboration in the field of single-cell sequencing methods and explore key topics and future directions. Methods: Bibliometric analyses were conducted with CiteSpace and VOSviewer software on publications prior to November 2019 from the Web of Science Core Collection about single-cell sequencing methods. Results: Ultimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries. There was a noticeable increase in publications in 2014. The United States and high-income countries in Europe contributed to most of the records included. Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of the collaboration network, and SA Teichmann, JC Marioni, A Regev, and FC Tang were the top-producing authors. Keywords co-occurrence analysis suggested applications in immunology as a developing research trend. Conclusions: We concluded that the global collaboration network was unformed and that high-income countries contributed more to the rapidly growth of publications of single-cell sequencing technology. Furthermore, the application in immunology might be the next research hotspot and developmental direction. SN - 1438-8871 UR - https://www.jmir.org/2021/8/e25789 UR - https://doi.org/10.2196/25789 UR - http://www.ncbi.nlm.nih.gov/pubmed/34014832 DO - 10.2196/25789 ID - info:doi/10.2196/25789 ER -