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2059

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May 27, 2025 (publication date) through Mar 28, 2026

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World Journal of Gastrointestinal Surgery

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1948-9366

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

Cited by in CrossRef

For:	Hu MM, Ding YL, Li J. Effectiveness of early enteral nutrition support in patients undergoing gastrointestinal perforation repair surgery within the enhanced recovery. World J Gastrointest Surg 2025; 17(5): 106384 [PMID: 40502524 DOI: 10.4240/wjgs.v17.i5.106384]
URL:	https://www.wjgnet.com/1007-9327/full/v17/i5/106384.htm

Number	Citing Articles
1	Yue Huang. Targeted nutritional nursing versus routine dietary care on postoperative nutritional status and recovery outcomes in patients with gastrointestinal polyps: A retrospective controlled study. Medicine 2026; 105(7): e47545 doi: 10.1097/MD.0000000000047545
2	Bei Yan, Li-Qun Zhang, Yi-Qing Shen. Correlation between the initiation of early enteral nutrition and anastomotic fistula after pancreaticoduodenectomy. World Journal of Gastrointestinal Surgery 2026; 18(3): 115621 doi: 10.4240/wjgs.v18.i3.115621 Abstract(4) \| Core Tip(3) \| Full Article(HTML)(9) \| Full Article with Cover (PDF)-770K(0) \| Audio-1434K(2) \| Peer-Review Report-225K(2) \| Answering Reviewers-221K(2) \| Full Article (PDF)-499K(0) \| Full Article (XML)-96K(2) \| Times Cited (0) \| Total Visits (289) \| Open
3	Chao Wang, Zhang-Bin Ling, Pan-Pan Sun, Ming Dong, Ting Cao, Xiang Ma, Lan-Jun Lu, Yang Li. Optimization of nursing care for patients with acute intestinal obstruction using dedicated multidisciplinary team. World Journal of Gastrointestinal Surgery 2026; 18(2): 111845 doi: 10.4240/wjgs.v18.i2.111845 Abstract(26) \| Core Tip(17) \| Full Article(HTML)(100) \| Full Article with Cover (PDF)-775K(10) \| Audio-719K(1) \| Peer-Review Report-257K(5) \| Answering Reviewers-298K(5) \| Supplementary Material-88K(4) \| Full Article (PDF)-428K(16) \| Full Article (XML)-83K(6) \| Times Cited (0) \| Total Visits (453) \| Open
4	Yumei Mao, Geying Yang, Hongfei Xu. Timing of enteral nutrition in intensive care: A machine-learning-assisted automated meta-analysis using robust Bayesian model averaging. Nutrition Clinique et Métabolisme 2026; 40(2): 103038 doi: 10.1016/j.nupar.2026.103038