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Comprehensive scientometrics and visualization study profiles lymphoma metabolism and identifies its significant research signatures.
Guo, Song-Bin; Pan, Dan-Qi; Su, Ning; Huang, Man-Qian; Zhou, Zhen-Zhong; Huang, Wei-Juan; Tian, Xiao-Peng.
Afiliação
  • Guo SB; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Pan DQ; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Su N; Department of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Huang MQ; Department of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
  • Zhou ZZ; State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Huang WJ; Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Tian XP; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Front Endocrinol (Lausanne) ; 14: 1266721, 2023.
Article em En | MEDLINE | ID: mdl-37822596
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Linfoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Linfoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article