Frontiers in Molecular Neuroscience (Aug 2023)

A bibliometric and knowledge-map analysis of the glymphatic system from 2012 to 2022

  • Changkai Hou,
  • Wen Ren,
  • Bangyue Wang,
  • Xi’an Fu,
  • Quanlei Liu,
  • Jian Li,
  • Hao Zhang,
  • Weihan Wang,
  • Xinyu Yang,
  • Penghu Wei,
  • Guoguang Zhao

DOI
https://doi.org/10.3389/fnmol.2023.1148179
Journal volume & issue
Vol. 16

Abstract

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ObjectiveTo explore the development context, research hotspots and frontiers in the glymphatic system (GS) field from 2012 to 2022 by bibliometric analysis.MethodsThe Web of Science Core Collection (WoSCC) database was searched for articles published between 2012 and 2022. Microsoft Excel was used to manage the data. VOSviewer, CiteSpace, GraphPad Prism, the Web of Science, and an online analysis platform for bibliometrics (http://bibliometric.com/) were used to analyze the countries, institutions, journals, and collaboration networks among authors and the types of articles, developmental directions, references, and top keywords of published articles.ResultsA total of 412 articles were retrieved, including 39 countries/regions, 223 research institutes and 171 academic journals. The subject classifications related to the GS were Neuroscience, Clinical Neuroscience and Radiology/Nuclear Medicine/Medical Imaging. The United States has maintained its dominant and most influential position in GS research. Among research institutions and journals, the Univ Rochester and Journal of Cerebral Blood Flow and Metabolism had the highest number of academic articles, respectively. Nedergaard M had the most published article, and Iliff JJ had the most co-citations. The top two keywords with the highest frequency were “glymphatic system” and “cerebrospinal fluid.”ConclusionThis research provides valuable information for the study of the GS. The bibliometric analysis of this area will encourage potential collaborations among researchers, defining its frontiers and directions for development.

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