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Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021

BACKGROUND: A scientific and comprehensive analysis of the current status and trends in the field of cancer-associated fibroblast (CAF) research is worth investigating. This study aims to investigate and visualize the development, research frontiers, and future trends in CAFs both quantitatively and...

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Autores principales: Yuan, Dun, Zheng, Bo-Wen, Zheng, Bo-Yv, Niu, Hua-Qing, Zou, Ming-Xiang, Liu, Song-Lin, Liu, Fu-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685623/
https://www.ncbi.nlm.nih.gov/pubmed/38031121
http://dx.doi.org/10.1186/s40001-023-01527-3
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author Yuan, Dun
Zheng, Bo-Wen
Zheng, Bo-Yv
Niu, Hua-Qing
Zou, Ming-Xiang
Liu, Song-Lin
Liu, Fu-Sheng
author_facet Yuan, Dun
Zheng, Bo-Wen
Zheng, Bo-Yv
Niu, Hua-Qing
Zou, Ming-Xiang
Liu, Song-Lin
Liu, Fu-Sheng
author_sort Yuan, Dun
collection PubMed
description BACKGROUND: A scientific and comprehensive analysis of the current status and trends in the field of cancer-associated fibroblast (CAF) research is worth investigating. This study aims to investigate and visualize the development, research frontiers, and future trends in CAFs both quantitatively and qualitatively based on a bibliometric approach. METHODS: A total of 5518 publications were downloaded from the Science Citation Index Expanded of Web of Science Core Collection from 1999 to 2021 and identified for bibliometric analysis. Visualized approaches, OriginPro (version 9.8.0.200) and R (version 4.2.0) software tools were used to perform bibliometric and knowledge-map analysis. RESULTS: The number of publications on CAFs increased each year, and the same tendency was observed in the RRI. Apart from China, the countries with the largest number of publications and the most cited frequency were mainly Western developed countries, especially the USA. Cancers was the journal with the largest number of articles published in CAFs, and Oncology was the most popular research orientation. The most productive author was Lisanti MP, and the University of Texas System was ranked first in the institutions. In addition, the topics of CAFs could be divided into five categories, including tumor classification, prognostic study, oncologic therapies, tumor metabolism and tumor microenvironment. CONCLUSIONS: This is the first thoroughly scientific bibliometric analysis and visualized study of the global research field on CAFs over the past 20 years. The study may provide benefits for researchers to master CAFs' dynamic evolution and research trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01527-3.
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spelling pubmed-106856232023-11-30 Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021 Yuan, Dun Zheng, Bo-Wen Zheng, Bo-Yv Niu, Hua-Qing Zou, Ming-Xiang Liu, Song-Lin Liu, Fu-Sheng Eur J Med Res Research BACKGROUND: A scientific and comprehensive analysis of the current status and trends in the field of cancer-associated fibroblast (CAF) research is worth investigating. This study aims to investigate and visualize the development, research frontiers, and future trends in CAFs both quantitatively and qualitatively based on a bibliometric approach. METHODS: A total of 5518 publications were downloaded from the Science Citation Index Expanded of Web of Science Core Collection from 1999 to 2021 and identified for bibliometric analysis. Visualized approaches, OriginPro (version 9.8.0.200) and R (version 4.2.0) software tools were used to perform bibliometric and knowledge-map analysis. RESULTS: The number of publications on CAFs increased each year, and the same tendency was observed in the RRI. Apart from China, the countries with the largest number of publications and the most cited frequency were mainly Western developed countries, especially the USA. Cancers was the journal with the largest number of articles published in CAFs, and Oncology was the most popular research orientation. The most productive author was Lisanti MP, and the University of Texas System was ranked first in the institutions. In addition, the topics of CAFs could be divided into five categories, including tumor classification, prognostic study, oncologic therapies, tumor metabolism and tumor microenvironment. CONCLUSIONS: This is the first thoroughly scientific bibliometric analysis and visualized study of the global research field on CAFs over the past 20 years. The study may provide benefits for researchers to master CAFs' dynamic evolution and research trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01527-3. BioMed Central 2023-11-29 /pmc/articles/PMC10685623/ /pubmed/38031121 http://dx.doi.org/10.1186/s40001-023-01527-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yuan, Dun
Zheng, Bo-Wen
Zheng, Bo-Yv
Niu, Hua-Qing
Zou, Ming-Xiang
Liu, Song-Lin
Liu, Fu-Sheng
Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title_full Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title_fullStr Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title_full_unstemmed Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title_short Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021
title_sort global cluster analysis and network visualization in cancer-associated fibroblast: insights from web of science database from 1999 to 2021
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685623/
https://www.ncbi.nlm.nih.gov/pubmed/38031121
http://dx.doi.org/10.1186/s40001-023-01527-3
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