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DOI 10.1016/j.compbiomed.2023.107867

Медицинская библиотека · Computers in biology and medicine · 2023

A bibliometric and visualized analysis of nanoparticles in musculoskeletal diseases (from 2013 to 2023).

Cao Siyang, Wei Yihao, Yao Zhi, Yue Yaohang, Deng Jiapeng, Xu Huihui, Sheng Weibei, Yu Fei, Liu Peng, Xiong Ao, Zeng Hui

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

As the pace of research on nanomedicine for musculoskeletal (MSK) diseases accelerates, there remains a lack of comprehensive analysis regarding the development trajectory, primary authors, and research focal points in this domain. Additionally, there's a need of detailed elucidation of potential research hotspots. The study gathered articles and reviews focusing on the utilization of nanoparticles (NPs) for MSK diseases published between 2013 and 2023, extracted from the Web of Science database. Bibliometric and visualization analyses were conducted using various tools such as VOSviewer, CiteSpace, Pajek, Scimago Graphica, and the R package. China, the USA, and India emerged as the key drivers in this research domain. Among the numerous institutions involved, Shanghai Jiao Tong University, Chinese Academy of Sciences, and Sichuan University exhibited the highest productivity levels. Vallet-Regi Maria emerged as the most prolific author in this field. International Journal of Nanomedicine accounted for the largest number of publications in this area. The top five disorders of utmost significance in this field include osteosarcoma, cartilage diseases, bone fractures, bone neoplasms, and joint diseases. These findings are instrumental in providing researchers with a comprehensive understanding of this domain and offer valuable perspectives for future investigations.

Для цитирования: Cao Siyang, Wei Yihao, Yao Zhi, Yue Yaohang, Deng Jiapeng, Xu Huihui, Sheng Weibei, Yu Fei, Liu Peng, Xiong Ao, Zeng Hui. A bibliometric and visualized analysis of nanoparticles in musculoskeletal diseases (from 2013 to 2023).. Computers in biology and medicine. 2023. DOI: 10.1016/j.compbiomed.2023.107867.

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