Global trends and characteristics of metal-organic frameworks in cancer research: a machine-learning-based bibliometric analysis.

Journal: Discover oncology
Published Date: Jun 1, 2025

Abstract

BACKGROUND: Cancer poses a significant health threat, causing millions of deaths annually. Although chemotherapy-based comprehensive therapies are common, their low accuracy and severe side effects limit effectiveness. Metal-organic frameworks (MOFs), with their superior biocompatibility and stability, show great promise for drug delivery and cancer treatment. This study aims to explore the potential and developmental trajectories of MOFs in cancer research through a bibliometric analysis.

Authors

  • Heyuan Niu
    Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Haipeng Du
    Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Zhe Ji
    China International Neuroscience Institute (China-INI), Beijing, China.
  • Xiaoping Li
    Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, China.
  • Wanyi Xiao
    Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Anqi He
    Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Ping Yu
    Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, the Chinese Academy of Sciences (CAS), Beijing 100190, China.
  • Gang Liu
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.

Keywords

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