CHINESE JOURNAL OF MEDICINAL GUIDE >
Analysis and Enlightenment of Global Colorectal Cancer Research Papers in the Past 20 Years
Received date: 2025-10-23
Revised date: 2025-12-07
Accepted date: 2026-02-06
Online published: 2026-05-26
Objective: To analyze the research status, emerging trends, and international differences in colorectal cancer (CRC) studies using bibliometric methods.Methods: Publications related to CRC from January 2004 to December 2024 were retrieved from the China National Knowledge Infrastructure (CNKI), Web of Science, and PubMed databases. CiteSpace software was employed to conduct bibliometric analyses of authors, institutions, and keywords, and corresponding visual maps were generated.Results: Over the past two decades, the global number of CRC-related papers indexed in SCI has shown a continuous upward trend, peaking in 2021. During the same period, the proportion of publications by Chinese scholars increased from approximately 2% to over 25% of the global total. Keyword analysis revealed that recent hotspots centering on the gut microbiota, immunotherapy, tumor microenvironment, and applications of artificial intelligence (AI). Notably, Chinese researchers have made significant advances in tumor microenvironment studies, and research on AI applications show a rapid development trend. Collaboration analysis among prolific universities and research institutions indicates limited cooperation among Chinese scholars, while organizations such as the German Cancer Research Center and the University of Melbourne demonstrate extensive international collaboration. The number of CRC research papers published in Chinese has declined steadily, contrasting sharply with the rise in English-language CRC research publications. Notably, most Chinese-language CRC research papers focus on traditional Chinese medicine (TCM) treatments for CRC.Conclusion: Global research on CRC has grown rapidly over the past two decades. China has emerged as a major contributor in CRC research. However, challenges remain in enhancing international collaboration and advancing cutting-edge areas such as AI applications. Chinese-language CRC research publications are declining and remain focused mainly on TCM treatments therapies.
Qingrong Sun
,
Jiashu Xiao
,
Maode Lai
.
Analysis and Enlightenment of Global Colorectal
Cancer Research Papers in the Past 20 Years
[1] Su Jiao, Liang Yuanhao, He Xiaofeng. The global burden and trends analysis of early-onset colorectal cancer attributable to dietary risk factors in 204 countries and territories, 1990-2019: a secondary analysis for the global burden of disease study 2019[J].Front Nutr, 2024,11:1384352.
[2] Shen Jing,Zheng Linqiang,He Zhibin.Booming research publications in China[J].J Bioresour Bioproducts, 2016,1(4):159-161.
[3] Fadlallah H, Masri JE, Fakhereddine H,et al. Colorectal cancer:recent advances in management and treatment[J].World J Clin Oncol, 2024,15(9):1136-1156.
[4] 李霜,贾梦滢,尤朝香,等.基于CiteSpace的中低位直肠癌保肛术后盆底肌功能研究热点的可视化分析[J].医学信息,2022,35(22):40-48,54.
[5] 李政,易波,王国慧,等.基于CiteSpace的机器人结直肠手术临床应用现状与热点可视化分析[J].中国普通外科杂志,2024,33(4):578-591.
[6] 吴卉,陈海滔,姚庆华.基于CiteSpace的针灸治疗结直肠癌文献计量学分析[J].浙江中医药大学学报,2025,49(2):189-196.
[7] Gan Yena, Li Duoduo, Robinson N, et al. Practical guidance on bibliometric analysis and mapping knowledge domains methodology - a summary [J].Eur J Integrmed, 2022,56:102203.
[8] Şahiner İT, Altunal Ç. Global productivity and research trends of colorectal carcinoma: a scientometric analysis of studies published between 1980 and 2021[J].Med, 2023,102(8):e33037.
[9] Chen Chaomei. Searching for intellectual turning points: progressive knowledge domain visualization[J].Proc Natl Acad Sci USA, 2004,101(Suppl 1):5303-5310.
[10] Zhang Qin,Rong Guang, Meng Qinggang,et al. Outlining the keyword co-occurrence trends in shuanghuanglian injection research: a bibliometric study using CiteSpace III[J].J Tradit Chin Med Sci, 2020,7(2):189-198.
[11] Yuan Xingyue, Lai Yu. Bibliometric and visualized analysis of elite controllers based on CiteSpace: landscapes, hotspots, and frontiers[J].Front Cell Infec Microbiol, 2023,13:1147265.
[12] Chen Chaomei.CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature[J].J Am Soc Inf Sci Technol, 2006,57(3):359-377.
[13] Li Zhao, Wei Qiang, Huang Liangchin, et al. Ensemble pretrained language models to extract biomedical knowledge from literature[J].J Am Med Inform Assoc, 2024,31(9):1904-1911.
[14] Guo Chen,Lu Xiao.Selecting publication keywords for domain analysis in bibliometrics: a comparison of three methods[J].J Informetr, 2016,10(1):212-223.
[15] Huang Pan,Feng Zongfeng,Shu Xufeng,et al.A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002-2022)[J].Front Oncol, 2023,13:1077539.
[16] Wu Weigen,Ouyang Yaobin,Pan Zheng,et al.Research trends on the relationship between gut microbiota and colorectal cancer:a bibliometric analysis[J].Front cell Infect Microbiol, 2022,12:1027448.
[17] Yu Bing,Kang Jian,Lei Hong, et al. Immunotherapy for colorectal cancer [J].Front Immunol, 2024,15:1433315.
[18] He Xinran,Xie Tingyi,Shi Li,et al. Research hotspots and frontiers in the tumor microenvironment of colorectal cancer: a bibliometric study from 2014 to 2024[J].Front Oncol, 2025,15:1525280.
[19] 常子梦,王佳丽,丑静,等.结直肠癌患者肠造口早期益处发现与生活质量相关性分析 [J]. 护理学杂志,2022,37(19):75-77.
[20] 张凯璇,丁康.基于深度学习的人工智能技术在结直肠癌医学影像诊断中的应用进展 [J].山东医药,2024,64(4):107-110.
[21] Uchikov P, Khalid U, Kraev K, et al. Artificial intelligence in the diagnosis of colorectal cancer: a literature review[J].Diagnostics (Basel), 2024,14(5):528.
[22] Oskouie IM,Alemi H,Khavandgar N,et al.Global research trends on colorectal cancer (2014-2023): a scientometric and visualized study[J].Arch Iran Med, 2024,27(10):563.
[23] Guo Qihong, Wang Ruiping, Guo Yichen. The diagnostic accuracy of deep learning-based AI models in predicting lymph node metastasis in T1 and T2 colorectal cancer: a systematic review and meta-analysis[J].Med (Baltimore), 2025,104(45):e45172.
[24] Wei Jiang, Yang Kun, Xiao Chanchan, et al. Multimodal tumor microenvironment signature of colorectal cancer for prediction prognosis and chemotherapy benefit[J].NPJ Precis Oncol, 2025,9(1):270.
[25] Wu Sumin, Zhang Yunping, Lin Zi, et al.Global burden of colorectal cancer in 2022 and projections to 2050: incidence and mortality estimates from GLOBOCAN[J].BMC Cancer, 2025,25(1):1770.
[26] Ong Shunseng, Xu Lianjie, Deng Xiaoyue, et al. Trends, global comparisons, and projections of early onset colorectal cancer burden in China based on GBD study 2021[J].Sci Rep, 2025,15(1):2969.
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