Global trends in research of high-throughput sequencing technology associated with chronic wounds from 2002 to 2022: A bibliometric and visualized study.

Meng, Hao; Peng, Yu; Li, Pinxue; Su, Jianlong; Jiang, Yufeng; Fu, Xiaobing

Meng, Hao; Peng, Yu; Li, Pinxue; Su, Jianlong; Jiang, Yufeng; Fu, Xiaobing.

Afiliação

Meng H; Research Center for Wound Repair and Tissue Regeneration, Medical Innovation Research Department, The PLA General Hospital, Beijing, China.
Peng Y; Research Center for Wound Repair and Tissue Regeneration, Medical Innovation Research Department, The PLA General Hospital, Beijing, China.
Li P; School of Medicine, Nankai University, Tianjin, China.
Su J; School of Medicine, Nankai University, Tianjin, China.
Jiang Y; Research Center for Wound Repair and Tissue Regeneration, Medical Innovation Research Department, The PLA General Hospital, Beijing, China.
Fu X; Research Center for Wound Repair and Tissue Regeneration, Medical Innovation Research Department, The PLA General Hospital, Beijing, China.

Front Surg ; 10: 1089203, 2023.

Article em En | MEDLINE | ID: mdl-36911623

Palavras-chave

bibliometric analysis; chronic wound; high-throughput sequencing; microbial ecology; visualized study; wound healing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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