Comprehensive scientometrics and visualization study profiles lymphoma metabolism and identifies its significant research signatures.

Journal: Frontiers in endocrinology
Published Date: Sep 26, 2023

Abstract

BACKGROUND: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scientometrics and visualization study could serve as a robust tool to address this issue. Hence, it was implemented.

Authors

  • Song-Bin Guo
    Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Dan-Qi Pan
    Department of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Ning Su
    Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
  • Man-Qian Huang
    State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Zhen-Zhong Zhou
    Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Wei-Juan Huang
    Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
  • Xiao-Peng Tian
    Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.

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