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The chart showing PDF series, HTML series, Figures (1-5) series, Tables (1-3) series.

Item

Count

PDF

174

HTML

1818

Figures (1-5)

343

Tables (1-3)

269

Sum=2604

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Item

Count

Browse

119

Download

687

Sum=806

Jan 15, 2025 (publication date) through Dec 10, 2025

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Times Cited (5)

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Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Long ZD, Yu X, Xing ZX, Wang R. Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis. World J Gastrointest Oncol 2025; 17(1): 96598 [PMID: 39817139 DOI: 10.4251/wjgo.v17.i1.96598]
URL:	https://www.wjgnet.com/1948-5204/full/v17/i1/96598.htm

Number	Citing Articles
1	Yuwei Zhang. Enhancing rectal cancer liver metastasis prediction: Magnetic resonance imaging-based radiomics, bias mitigation, and regulatory considerations. World Journal of Gastrointestinal Oncology 2025; 17(2): 102151 doi: 10.4251/wjgo.v17.i2.102151 Abstract(371) \| Core Tip(381) \| Full Article(HTML)(1340) \| Full Article with Cover (PDF)-603K(87) \| Audio-274K(12) \| Peer-Review Report-171K(76) \| Answering Reviewers-35K(80) \| Full Article (PDF)-341K(111) \| Full Article (XML)-32K(77) \| Times Cited (0) \| Total Visits (3664) \| Open
2	Christopher Mejias, Bahar Mansoori, Guilherme Moura Cunha, Joel G. Fletcher, Natally Horvat, Avinash Nehra, Aiming Lu, Achille Mileto. Challenges in rectal cancer MRI: from image acquisition to interpretation. Abdominal Radiology 2025; doi: 10.1007/s00261-025-05268-1
3	Xu-Xing Ye, Hui-Heng Qu, Chao Yang, Wei-Jun Teng, Yan-Ping Chen, Jun-Mei Lin, Xiao-Bo Wang. Precision medicine in the prediction of metachronous liver metastasis in rectal cancer: Applications and challenges. World Journal of Gastrointestinal Oncology 2025; 17(4): 102469 doi: 10.4251/wjgo.v17.i4.102469 Abstract(320) \| Core Tip(332) \| Full Article(HTML)(1065) \| Full Article with Cover (PDF)-704K(120) \| Audio-154K(11) \| Peer-Review Report-232K(58) \| Answering Reviewers-188K(60) \| Full Article (PDF)-367K(91) \| Full Article (XML)-52K(58) \| Times Cited (0) \| Total Visits (2830) \| Open
4	Arunkumar Krishnan. Radiomics and machine learning for predicting metachronous liver metastasis in rectal cancer. World Journal of Gastrointestinal Oncology 2025; 17(4): 102324 doi: 10.4251/wjgo.v17.i4.102324 Abstract(287) \| Core Tip(285) \| Full Article(HTML)(847) \| Full Article with Cover (PDF)-681K(75) \| Audio-1910K(6) \| Peer-Review Report-331K(49) \| Answering Reviewers-125K(53) \| Full Article (PDF)-344K(81) \| Full Article (XML)-35K(48) \| Times Cited (0) \| Total Visits (2352) \| Open