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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 16, 2020
Date Accepted: May 13, 2021
Date Submitted to PubMed: Aug 12, 2021

The final, peer-reviewed published version of this preprint can be found here:

Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis

Wang Q, Yang KL, Zhang Z, Wang Z, Li C, Li L, Tian JH, Ye YJ, Wang S, Jiang KW

Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis

J Med Internet Res 2021;23(8):e25789

DOI: 10.2196/25789

PMID: 34014832

PMCID: 8386406

A Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: What Bibliometric Analysis Tells Us

  • Quan Wang; 
  • Ke-Lu Yang; 
  • Zhen Zhang; 
  • Zhu Wang; 
  • Chen Li; 
  • Lun Li; 
  • Jin-Hui Tian; 
  • Ying-Jiang Ye; 
  • Shan Wang; 
  • Ke-Wei Jiang

ABSTRACT

Background:

As single-cell sequencing (SCS) technology has been gradually introduced, it is essential to characterize global collaboration networks and map the developmental directions over the past 20 years.

Objective:

To illustrate the cooperation and explore the key topics and future directions regarding of SCS methods.

Methods:

Bibliometric analyses were conducted by CiteSpace (version 5.3.R4) and VOSviewer software (version 1.6.9) using publications on SCS methods from the Web of Science Core Collection prior to November 2019.

Results:

Ultimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries, and a significant increase emerged in 2014. The USA and developed countries in Europe contributed to most of the records included. Moreover, Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of collaboration networks, and Teichmann SA, Marioni JC, Regev A, and Tang FC were the top productive authors. In terms of keywords co-occurrence analysis, ‘applications in immunology’ was regarded developmental trends in the future.

Conclusions:

We concluded that the global collaborations network were formed incompletely, and that developed countries contributed more to the rapidly growth of publications of SCS technology. Furthermore, the application of SCS in immunology might be the next research hotspot and developmental direction.


 Citation

Please cite as:

Wang Q, Yang KL, Zhang Z, Wang Z, Li C, Li L, Tian JH, Ye YJ, Wang S, Jiang KW

Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis

J Med Internet Res 2021;23(8):e25789

DOI: 10.2196/25789

PMID: 34014832

PMCID: 8386406

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