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A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020
BACKGROUND: The mammalian target of rapamycin (mTOR) signaling pathway is vital for the regulation of cell metabolism, growth and proliferation in the kidney. This study aims to show current research focuses and predict future trends about mTOR pathway in kidney disease by the methods of scientometr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039620/ https://www.ncbi.nlm.nih.gov/pubmed/33850735 http://dx.doi.org/10.21037/tau-20-1469 |
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author | Wu, Lian-Zhong Weng, Yi-Qin Ling, Yi-Xin Zhou, Shu-Juan Ding, Xiao-Kai Wu, Si-Qi Yu, Kang Jiang, Song-Fu Chen, Yi |
author_facet | Wu, Lian-Zhong Weng, Yi-Qin Ling, Yi-Xin Zhou, Shu-Juan Ding, Xiao-Kai Wu, Si-Qi Yu, Kang Jiang, Song-Fu Chen, Yi |
author_sort | Wu, Lian-Zhong |
collection | PubMed |
description | BACKGROUND: The mammalian target of rapamycin (mTOR) signaling pathway is vital for the regulation of cell metabolism, growth and proliferation in the kidney. This study aims to show current research focuses and predict future trends about mTOR pathway in kidney disease by the methods of scientometric analysis. METHODS: We referred to publications from the Web of Science(TM) Core Collection (WoSCC) Database. Carrot2, VOSviewer and CiteSpace programs were applied to evaluate the distribution and contribution of authors, institutes and countries/regions of extensive bibliographic metadata, show current research focuses and predict future trends in kidney disease’s area. RESULTS: Until July 10, 2020, there are 2,585 manuscripts about mTOR signaling pathway in kidney disease in total and every manuscript is cited 27.39 times on average. The big name of course is the United States. Research hot spots include “diabetic nephropathy”, “kidney transplantation”, “autosomal dominant polycystic kidney disease”, “tuberous sclerosis complex”, “renal cell carcinoma” and “autophagy”. Seven key clusters are detected, including “kidney transplantation”, “autosomal dominant polycystic kidney disease”, “renal transplantation”, “renal cell carcinoma”, “hamartin”, “autophagy” and “tuberous sclerosis complex”. CONCLUSIONS: Diabetic nephropathy, kidney transplantation, autosomal dominant polycystic kidney disease, tuberous sclerosis complex, renal cell carcinoma and autophagy are future research hot spots by utilizing scientometric analysis. In the future, it is necessary to research these fields. |
format | Online Article Text |
id | pubmed-8039620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-80396202021-04-12 A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 Wu, Lian-Zhong Weng, Yi-Qin Ling, Yi-Xin Zhou, Shu-Juan Ding, Xiao-Kai Wu, Si-Qi Yu, Kang Jiang, Song-Fu Chen, Yi Transl Androl Urol Original Article BACKGROUND: The mammalian target of rapamycin (mTOR) signaling pathway is vital for the regulation of cell metabolism, growth and proliferation in the kidney. This study aims to show current research focuses and predict future trends about mTOR pathway in kidney disease by the methods of scientometric analysis. METHODS: We referred to publications from the Web of Science(TM) Core Collection (WoSCC) Database. Carrot2, VOSviewer and CiteSpace programs were applied to evaluate the distribution and contribution of authors, institutes and countries/regions of extensive bibliographic metadata, show current research focuses and predict future trends in kidney disease’s area. RESULTS: Until July 10, 2020, there are 2,585 manuscripts about mTOR signaling pathway in kidney disease in total and every manuscript is cited 27.39 times on average. The big name of course is the United States. Research hot spots include “diabetic nephropathy”, “kidney transplantation”, “autosomal dominant polycystic kidney disease”, “tuberous sclerosis complex”, “renal cell carcinoma” and “autophagy”. Seven key clusters are detected, including “kidney transplantation”, “autosomal dominant polycystic kidney disease”, “renal transplantation”, “renal cell carcinoma”, “hamartin”, “autophagy” and “tuberous sclerosis complex”. CONCLUSIONS: Diabetic nephropathy, kidney transplantation, autosomal dominant polycystic kidney disease, tuberous sclerosis complex, renal cell carcinoma and autophagy are future research hot spots by utilizing scientometric analysis. In the future, it is necessary to research these fields. AME Publishing Company 2021-03 /pmc/articles/PMC8039620/ /pubmed/33850735 http://dx.doi.org/10.21037/tau-20-1469 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Wu, Lian-Zhong Weng, Yi-Qin Ling, Yi-Xin Zhou, Shu-Juan Ding, Xiao-Kai Wu, Si-Qi Yu, Kang Jiang, Song-Fu Chen, Yi A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title | A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title_full | A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title_fullStr | A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title_full_unstemmed | A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title_short | A Web of Science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
title_sort | web of science-based scientometric analysis about mammalian target of rapamycin signaling pathway in kidney disease from 1986 to 2020 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039620/ https://www.ncbi.nlm.nih.gov/pubmed/33850735 http://dx.doi.org/10.21037/tau-20-1469 |
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