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A bibliometrics visualization analysis and hotspots prediction for natural product on osteoporosis research from 2000 to 2021
来源:食品科学网 阅读量: 364 发表时间: 2022-10-28
作者: Ajiao Hou, Lin Yang, Jiahao Lü, Liu Yang, Haixue Kuang, Hai Jiang
关键词: Bibliometrics visualization analysis; Natural products; Osteoporosis; Hotspots prediction
摘要:

Aim: The purpose of this study was to explore the application status of natural products in osteoporosis research and explore its research hotspots and future research directions by analyzing the literature in the field of natural products therapy for osteoporosis from 2000 to 2021. Method: Publications on natural products in osteoporosis research were extracted from the Web of Science core collection database. Bibliometrics package in R language, VOSviewer and CiteSpace software were used for visualization analysis. Result: From 2000 to 2021, the number of articles on natural products in osteoporosis research was 1 596, and the total number of articles increased rapidly. China was the driving force in this field, and the top-contributing institution was Guangzhou University of Chinese Medicine. Most publications were published in the Journal of Ethnopharmacology. While J.K. Xu and Y. Zhang were the most cited and co-cited author. Countries, research institutions and authors in different regions cooperate closely. The hot topics included osteoporosis, differentiation, expression, in vitro, cell, osteogenesis and osteogenesis were the research frontiers in recent years. Conclusion: This study conducted a bibliometric visualization analysis on the research status, research hotspots and development trend of natural products in osteoporosis for the first time. In addition, this paper also puts forward suggestions and prospects for the future development of this field, which will help researchers to open up new directions for future research in this field.

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