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Cited by in CrossRef
For: Wang Z, Wu Q. Advancements in non-invasive diagnosis of gastric cancer. World J Gastroenterol 2025; 31(6): 101886 [PMID: 39958452 DOI: 10.3748/wjg.v31.i6.101886]
URL: https://www.wjgnet.com/1007-9327/full/v31/i6/101886.htm
Number Citing Articles
1
Thanmayi Velpula, Viswanath Buddolla. Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advancesThe Journal of Liquid Biopsy 2025; 8: 100297 doi: 10.1016/j.jlb.2025.100297
2
Mujing Ke, Tianhong Wei, Zhiyou He, Wenyi Lu, Xiuyun Xie. Enhancing gastric ultrasound training with standardized patient-based drinking simulation: a self-controlled studyBMC Medical Education 2025; 25(1) doi: 10.1186/s12909-025-08282-5
3
Nora Mahdavi, Arman Daliri, Mahdieh Zabihimayvan, Yalda Yaghooti, Mohammad Mahdi Mir, Parastoo Ghazanfari, Avin Zarrabi, Pedram Khalaj, Reza Sadeghi. WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics dataBioData Mining 2025; 18(1) doi: 10.1186/s13040-025-00486-1
4
Mubashir Hussain S.M, Mohan. A. Shuffle Cross Stage Gated Recurrent based Feature Extraction and Optimal Feature Selection for Gastric Cancer Detection2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) 2025; : 436 doi: 10.1109/ICoICI65217.2025.11252771
5
Zeinab Salehnia, Delsuz Rezaee, Sajad Ehtiati, Mohammad Bakhtiari, Mohammad Amin Khalilzad, Sajad Najafi. Liquid biopsy for the management of gastrointestinal cancersClinica Chimica Acta 2026; 578: 120474 doi: 10.1016/j.cca.2025.120474
6
Hossein Sahbafar, Atefe Mohsennezhad, Leila Zeinalizad, Hadis Jamshidvand, Saeideh Mehmandoust, Vahid Eskandari. Detection of trace L-aspartic acid using simple and cost-effective biosensors: experimental study along with density functional theory (DFT) and finite difference time domain (FDTD) numerical investigationsChemical Papers 2025;  doi: 10.1007/s11696-025-04514-6
7
Arman Daliri, Kamrad Khoshhal Roudposhti, Mahmoud Alimoradi, Meraj Sheikhha, Mahdi Rafati Sahneh Saraei, Javad Mohammadzadeh. Optimized Categorical Boosting for Gastric Cancer Classification using Heptagonal Reinforcement learning and the Water Optimization Algorithm2025 7th International Conference on Pattern Recognition and Image Analysis (IPRIA) 2025; : 1 doi: 10.1109/IPRIA68579.2025.11263556
8
Yongfu Shao, Xuan Yu, Jianing Yan, Haotian Dong. Molecular subtyping and functional characterization of gastric cancer using arginine metabolism-related genesFrontiers in Cell and Developmental Biology 2026; 13 doi: 10.3389/fcell.2025.1732490
9
Qingyue Miao, Bingyang Qin, Songlan Piao, Changchun Ma. Global research trends on the association between gastric cancer and chronic atrophic gastritis: a bibliometric analysisDiscover Oncology 2025; 16(1) doi: 10.1007/s12672-025-03392-4
10
Taeyeon Kim, Minsu Jang, Yeongjun Jeon, Seungwook Han, You Hwan Kim, Sunwoo Park, Hyeyun Lee, Woosok Moon, Tae-Young Jeong, Cheol Woong Choi, Jin-Woo Oh. Acid-resistant PVP/gold nanoparticles cluster for gastric juice-based metabolomics analysisSensors and Actuators Reports 2025; 10: 100370 doi: 10.1016/j.snr.2025.100370