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Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition) ›› 2025, Vol. 11 ›› Issue (04): 368-379. doi: 10.3877/cma.j.issn.2096-1537.2025.04.007

• Critical Care Research • Previous Articles    

Global ARDS literature analysis (2020-2025): a science mapping based bibliometric study

Xuezhu Li, yan Wang, Hui Chen, Xiwen Zhang, Ling Liu, Xiaoqing Li, Yi Yang, Jianfeng Xie(), Haibo Qiu()   

  1. Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
  • Received:2025-03-13 Online:2025-11-28 Published:2026-03-24
  • Contact: Jianfeng Xie, Haibo Qiu

Abstract:

Objective

Based on the Web of Science database, a bibliometric analysis was conducted on global literature in the field of acute respiratory distress syndrome (ARDS) from 2020 to 2025 to explore the research landscape and hotspots in this domain.

Methods

Literature on ARDS from 2020 to 2025 indexed in the Web of Science database was retrieved. CiteSpace and VOSviewer were employed to analyze the publication countries, authors, institutions, and journals. Keyword cluster analysis was performed to identify research hotspots and themes.

Results

A total of 9271 articles were included. The United States contributed the highest number of publications (2792 articles), followed by China (2078 articles), Italy (1048 articles). The top three authors were Pelosi Paolo (78 articles), Marcus J. Schultz (65 articles), and Matthay Michael A (64 articles). The University of Toronto was the most prolific institution. Current research hotspots primarily included precise respiratory function assessment, ventilator-induced lung injury (VILI), subphenotypes, and risk prediction models.

Conclusion

Global research activity in the ARDS field has increased. Compared with European and American countries, China still lags in terms of publication volume, influential institutions, and highly cited authors. Future research will focus more on precise respiratory support strategies and subphenotype-based risk prediction models for ARDS patients.

Key words: ARDS, Bibliometric analysis, Research hotspots

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