World Journal of Gastroenterology - Baishideng Publishing Group

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 22

This Article

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (4167)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-7) series, Tables (1-4) series.

Item

Count

PDF

114

HTML

2175

Figures (1-7)

232

Tables (1-4)

186

Sum=2707

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

220

Download

573

Sum=793

Publishing Process of This Article

Item

Count

Browse

Download

468

Sum=552

Jun 14, 2025 (publication date) through Mar 2, 2026

Times Cited of This Article

Times Cited (5)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

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

Cited by in CrossRef

For:	Trifylli EM, Angelakis A, Kriebardis AG, Papadopoulos N, Fortis SP, Pantazatou V, Koskinas J, Kranidioti H, Koustas E, Sarantis P, Manolakopoulos S, Deutsch M. Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence. World J Gastroenterol 2025; 31(22): 106937 [PMID: 40539197 DOI: 10.3748/wjg.v31.i22.106937]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i22/106937.htm

For:

Trifylli EM, Angelakis A, Kriebardis AG, Papadopoulos N, Fortis SP, Pantazatou V, Koskinas J, Kranidioti H, Koustas E, Sarantis P, Manolakopoulos S, Deutsch M. Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence. World J Gastroenterol 2025; 31(22): 106937 [PMID: 40539197 DOI: 10.3748/wjg.v31.i22.106937]

URL:

https://www.wjgnet.com/1007-9327/full/v31/i22/106937.htm

Number	Citing Articles
1	Yu Lei, Mei Liu, Xiang Tao. Extracellular Vesicles: Orchestrators of Intrahepatic and Systemic Crosstalk in Metabolic Dysfunction-Associated Steatotic Liver Disease. Pharmaceutics 2026; 18(1): 116 doi: 10.3390/pharmaceutics18010116
2	Ana Caroline Pimentel de Oliveira, Letícia Ramos Molica, Karen C.M. Moraes. Assessing the effects of uracil-based pesticides on hepatic metabolic dysfunctions in low-cost three-dimensional multicellular spheroids. Environmental Toxicology and Pharmacology 2026; 121: 104903 doi: 10.1016/j.etap.2025.104903
3	Sarah M. G. Morel, Shuyang Wu, Timothy J. Kendall, Indra N. Guha, Jonathan A. Fallowfield. Opportunities and challenges of artificial intelligence in hepatology. npj Gut and Liver 2026; 3(1) doi: 10.1038/s44355-025-00052-w
4	Eleni Myrto Trifylli, Athanasios Angelakis, Sotirios P. Fortis, Anastasios G. Kriebardis, Nikolaos Papadopoulos, Evangelos Koustas, Panagiotis Sarantis, Michalis V. Karamouzis, Spilios Manolakopoulos, Melanie Deutsch. Exploring the Role of Extracellular Vesicles in Pancreatic and Hepatobiliary Cancers: Advances Through Artificial Intelligence. International Journal of Molecular Sciences 2026; 27(3): 1524 doi: 10.3390/ijms27031524