MA Huanhuan, DING Ran, WANG Junwen, DU Guangying, ZHANG Yun, LU Qiuchen, HOU Yingyue, CHEN Haosong, JIAO Hongguan. Knowledge mapping and visualization analysis of anoikis and cancer research based on Web of Science databaseJ. Journal of Clinical Medicine in Practice, 2025, 29(20): 20-25, 32. DOI: 10.7619/jcmp.20253909
Citation: MA Huanhuan, DING Ran, WANG Junwen, DU Guangying, ZHANG Yun, LU Qiuchen, HOU Yingyue, CHEN Haosong, JIAO Hongguan. Knowledge mapping and visualization analysis of anoikis and cancer research based on Web of Science databaseJ. Journal of Clinical Medicine in Practice, 2025, 29(20): 20-25, 32. DOI: 10.7619/jcmp.20253909

Knowledge mapping and visualization analysis of anoikis and cancer research based on Web of Science database

  • Objective To analyze the developmental trends and research hotspots of anoikis in cancer research from 2005 to 2024.
    Methods Relevant literature was retrieved from the Web of Science Core Collection. Visualization tools including CiteSpace, VOSviewer and SCImago Graphica were employed to analyze publication volume, countries, institutions, authors, journals, keywords and other bibliometric indicators.
    Results A total of 2, 252 articles were included in this study, showing an overall upward trend in publication volume, with a notable increase after 2012. China and the United States ranked highest in terms of publication volume and citation frequency. Representative institutions included Shanghai Jiao Tong University, Chulalongkorn University and MD Anderson Cancer Center, while a representative scholar was CHANVORACHOTE Pithi. The core journal was Oncogene. Keyword and co-citation analyses revealed that research focused on genetic characteristics, cancer treatment, prognostic prediction and metabolic reprogramming, with core terms including "expression" "metastasis" and "anoikis".
    Conclusion Research interest in the field of anoikis continues to rise, with future directions focusing on drug resistance mechanisms, the tumor microenvironment, immunotherapy, signaling pathways and epithelial-mesenchymal transition (EMT).
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