The aim of this study is to conduct a comprehensive bibliometric analysis of CT-based adipose tissue imaging related to coronary artery disease (CAD) to investigate the dynamic development of this field. Web of Science Core Collection was used as our data source to identify relevant documents limited to articles or review articles and written in English with no time restrictions. Then we analyzed the whole trend of publications and utilized VOSviewer and Bibliometrix to conduct a bibliometric analysis including citations, keywords, countries, institutions, authors as well as co-citation analyses of cited references and sources. A total of 629 documents including 560 articles and 69 reviews from 1992 to 2023 were included. The trend of publications was divided into 3 phases and overall exhibited a constant rise. Based on the co-occurrence network of keywords analysis, 3 clusters centered on visceral, epicardial, pericoronary adipose tissue respectively and 1 cluster related to cardiovascular risk factors were identified, meanwhile determining the evolution of fat research. Co-citation analysis suggested that sources were divided into metabolism-related and cardiovascular-related journals. The USA ranked first with 228 documents and 12,086 citations among 47 countries and 1002 institutions, both at the author and institutional levels. In conclusion, this study demonstrated the thriving research field of the impact of CT-based adipose tissue assessment on coronary artery disease, offering a better understanding of the current state of research and valuable insights for future studies and collaborations.
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| http://dx.doi.org/10.1097/MD.0000000000040592 | DOI Listing |
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