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Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis

BACKGROUND: Network pharmacology (NP) has become an increasingly important focus in the drug research field over the past decade. However, no study to date has mapped the current status of NP. Therefore, we performed a bibliometric study to evaluate the top 100 cited papers on NP. METHODS: We search...

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Detalles Bibliográficos
Autores principales: Lu, Cuncun, Bing, Zhitong, Bi, Zhijiang, Liu, Ming, Lu, Tingting, Xun, Yangqin, Wei, Zhipeng, Yang, Kehu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701366/
https://www.ncbi.nlm.nih.gov/pubmed/31467569
http://dx.doi.org/10.1155/2019/1704816
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author Lu, Cuncun
Bing, Zhitong
Bi, Zhijiang
Liu, Ming
Lu, Tingting
Xun, Yangqin
Wei, Zhipeng
Yang, Kehu
author_facet Lu, Cuncun
Bing, Zhitong
Bi, Zhijiang
Liu, Ming
Lu, Tingting
Xun, Yangqin
Wei, Zhipeng
Yang, Kehu
author_sort Lu, Cuncun
collection PubMed
description BACKGROUND: Network pharmacology (NP) has become an increasingly important focus in the drug research field over the past decade. However, no study to date has mapped the current status of NP. Therefore, we performed a bibliometric study to evaluate the top 100 cited papers on NP. METHODS: We searched the Web of Science Core Collection from its inception to February 25, 2019, using the terms “network pharmacology” and “systems pharmacology.” Key data, including title, publication year, number of citations, authors, countries/regions, organizations, and journals, were retrieved and analyzed using Excel 2016 and VOSviewer 1.6.10. RESULTS: The total number of citations for the 100 cited papers ranged from 21 to 1,238, published in 53 journals, from 2005 to 2017. The top three journals with the most publications on NP were Clinical Pharmacology & Therapeutics (n = 8, IF2017 = 6.544), Journal of Ethnopharmacology (n = 8, IF2017 = 3.115), and PLoS One (n = 7, IF2017 = 2.766). Most published articles were from the USA (n = 41) and China (n = 35). The most active author was Wang Yonghua from the Northwest A&F University, and of the 100 publications, 14 listing his name. The most frequently used substantive terms included “drug discovery,” “traditional Chinese medicine (TCM),” “in-vitro,” “cancer,” and “cardiovascular disease.” Conclusions. The USA and China made the greatest contribution to NP research. The current NP research mainly focused on NP methods (including experimental validation) and using them to explore the molecular mechanisms of TCM for some critical diseases such as cardiovascular diseases and cancers. Furthermore, we believe some guidelines should be developed to regulate NP studies.
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spelling pubmed-67013662019-08-29 Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis Lu, Cuncun Bing, Zhitong Bi, Zhijiang Liu, Ming Lu, Tingting Xun, Yangqin Wei, Zhipeng Yang, Kehu Evid Based Complement Alternat Med Review Article BACKGROUND: Network pharmacology (NP) has become an increasingly important focus in the drug research field over the past decade. However, no study to date has mapped the current status of NP. Therefore, we performed a bibliometric study to evaluate the top 100 cited papers on NP. METHODS: We searched the Web of Science Core Collection from its inception to February 25, 2019, using the terms “network pharmacology” and “systems pharmacology.” Key data, including title, publication year, number of citations, authors, countries/regions, organizations, and journals, were retrieved and analyzed using Excel 2016 and VOSviewer 1.6.10. RESULTS: The total number of citations for the 100 cited papers ranged from 21 to 1,238, published in 53 journals, from 2005 to 2017. The top three journals with the most publications on NP were Clinical Pharmacology & Therapeutics (n = 8, IF2017 = 6.544), Journal of Ethnopharmacology (n = 8, IF2017 = 3.115), and PLoS One (n = 7, IF2017 = 2.766). Most published articles were from the USA (n = 41) and China (n = 35). The most active author was Wang Yonghua from the Northwest A&F University, and of the 100 publications, 14 listing his name. The most frequently used substantive terms included “drug discovery,” “traditional Chinese medicine (TCM),” “in-vitro,” “cancer,” and “cardiovascular disease.” Conclusions. The USA and China made the greatest contribution to NP research. The current NP research mainly focused on NP methods (including experimental validation) and using them to explore the molecular mechanisms of TCM for some critical diseases such as cardiovascular diseases and cancers. Furthermore, we believe some guidelines should be developed to regulate NP studies. Hindawi 2019-08-01 /pmc/articles/PMC6701366/ /pubmed/31467569 http://dx.doi.org/10.1155/2019/1704816 Text en Copyright © 2019 Cuncun Lu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Lu, Cuncun
Bing, Zhitong
Bi, Zhijiang
Liu, Ming
Lu, Tingting
Xun, Yangqin
Wei, Zhipeng
Yang, Kehu
Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title_full Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title_fullStr Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title_full_unstemmed Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title_short Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis
title_sort top-100 most cited publications concerning network pharmacology: a bibliometric analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701366/
https://www.ncbi.nlm.nih.gov/pubmed/31467569
http://dx.doi.org/10.1155/2019/1704816
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