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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
Yangzi Chen, Bohong Wang, Yizi Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Prognosis and Treatment of Gastric Cancer: A 2024 Update
Claudia Burz, Vlad Pop, Ciprian Silaghi, et al.
Cancers (2024) Vol. 16, Iss. 9, pp. 1708-1708
Open Access | Times Cited: 18
Recent developments in immunotherapy for gastrointestinal tract cancers
Xiaoyi Chong, Yelizhati Madeti, Jieyuan Cai, et al.
Journal of Hematology & Oncology (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 14
Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study
Zerong Cai, Yongqiang Zheng, Yan Hu, et al.
Gut (2025), pp. gutjnl-333522
Closed Access | Times Cited: 2
Untargeted metabolomics and machine learning unveil the exposome and metabolism linked with the risk of early pregnancy loss
Yixuan Shi, Keyi Li, Ran Ding, et al.
Journal of Hazardous Materials (2025) Vol. 488, pp. 137362-137362
Closed Access | Times Cited: 1
An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles
Yongjie Deng, Yao Yao, Yanni Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Bioinformatics Analysis and Validation of Potential Markers Associated with Prediction and Prognosis of Gastric Cancer
Tasuku Matsuoka, Masakazu Yashiro
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5880-5880
Open Access | Times Cited: 6
Artificial intelligence and early cancer of the digestive tract: New challenges and new futures
Kun Yin, Hao Liang, Wen Guo, et al.
Shijie huaren xiaohua zazhi (2025) Vol. 33, Iss. 1, pp. 1-10
Closed Access
Plant metabolomics: applications and challenges in the era of multi-omics big data
Yingchen Hao, Zhonghui Zhang, Erping Luo, et al.
aBIOTECH (2025) Vol. 6, Iss. 1, pp. 116-132
Open Access
RGCGT: A high-order feature learning framework for predicting disease-metabolite interaction using residual graph convolution and graph transformer
W.D. Liu, Pengli Lu, Jinai Gao
Expert Systems with Applications (2025), pp. 126637-126637
Closed Access
Signature Construction Associated with Tumor-Infiltrating Macrophages Identifies IRF8 as a Novel Biomarker for Immunotherapy in Advanced Gastric Cancer
Wanqian Liao, Yu Wang, Rui Wang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 3, pp. 1089-1089
Open Access
Prediction of Gastric Cancer using Metabolomic Data and Machine Learning Techniques
G. K. Kamalam, N. Suganya Baby, C. Ragul, et al.
SSRN Electronic Journal (2025)
Closed Access
Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer
Pooja Singh, Yashika Walia, Shagun Gupta, et al.
3 Biotech (2025) Vol. 15, Iss. 3
Closed Access
Traditional Chinese medicine and modern technology: Network pharmacology and omics sequencing in gastric cancer
Jessica Shapiro Gemmell, Brandon Lucke‐Wold
World Journal of Gastrointestinal Oncology (2025) Vol. 17, Iss. 3
Closed Access
Synergizing metabolomics and artificial intelligence for advancing precision oncology
Yipeng Xu, Xiao-Juan Jiang, Zeping Hu
Trends in Molecular Medicine (2025)
Closed Access
Efficient Metabolomics Profiling from Plasma Extracellular Vesicles Enables Accurate Diagnosis of Early Gastric Cancer
Fanqin Bu, Xinyi Shen, Hao‐Su Zhan, et al.
Journal of the American Chemical Society (2025) Vol. 147, Iss. 10, pp. 8672-8686
Closed Access
Cutting-edge AI tools revolutionizing scientific research in life sciences
Katarzyna Lorenc-Kukula
BioTechnologia (2025)
Open Access
Harnessing the Power of Metabolomics for Precision Oncology: Current Advances and Future Directions
Manas Kohli, George Poulogiannis
Cells (2025) Vol. 14, Iss. 6, pp. 402-402
Open Access
Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes
Ranieri Guerra
Italian Journal of Medicine (2024) Vol. 18, Iss. 2
Open Access | Times Cited: 3
Multi-omics based artificial intelligence for cancer research
Lusheng Li, Mengtao Sun, Jieqiong Wang, et al.
Advances in cancer research (2024), pp. 303-356
Closed Access | Times Cited: 3
Gut microbial metabolites: Shaping future diagnosis and treatment against gastrointestinal cancer
Hongyan Gou, Ruijie Zeng, Harry Cheuk-Hay Lau, et al.
Pharmacological Research (2024) Vol. 208, pp. 107373-107373
Open Access | Times Cited: 3
Emerging strategies to investigate the biology of early cancer
Ran Zhou, Xiwen Tang, Yuan Wang
Nature reviews. Cancer (2024) Vol. 24, Iss. 12, pp. 850-866
Closed Access | Times Cited: 2
Application of machine learning for high-throughput tumor marker screening
Xingxing Fu, Wanting Ma, Qi Zuo, et al.
Life Sciences (2024) Vol. 348, pp. 122634-122634
Closed Access | Times Cited: 1
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolas G. Lopez, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
Deciphering KDM8 dysregulation and CpG methylation in hepatocellular carcinoma using multi-omics and machine learning
Firoz Ahmed, Nitish K. Mishra, Othman A. Alghamdi, et al.
Epigenomics (2024) Vol. 16, Iss. 13, pp. 961-983
Closed Access | Times Cited: 1
Plasma metabolomics combined with mass spectrometry imaging reveals crosstalk between tumor and plasma in gastric cancer genesis and metastasis
Yanhua Chen, Xian Ding, Jun Zhou, et al.
Chinese Chemical Letters (2024) Vol. 36, Iss. 1, pp. 110351-110351
Closed Access | Times Cited: 1
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