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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:

Identification and Validation of a Cancer-Testis Antigen-Related Signature to Predict the Prognosis in Stomach Adenocarcinoma
Geng Bian, Jie Cao, Weiyu Li, et al.
Journal of Cancer (2024) Vol. 15, Iss. 11, pp. 3596-3611
Open Access | Times Cited: 13

Showing 13 citing articles:

Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma
Hua Dai, Tao Xin, Yongqian Shu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Development of a novel risk signature revealing prognostic and tumor microenvironmental features in breast cancer
Yong Shen, Binbin Jiang, Yingbo Luo, et al.
Medicine (2025) Vol. 104, Iss. 5, pp. e41369-e41369
Open Access
Comprehensive analysis of CLEC family genes in gastric cancer prognosis immune response and treatment
Weijian Zhu, Qiang Yi, Jiaqi Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma
Kuo Kang, Hui Nie, Weilu Kuang, et al.
Biological Procedures Online (2025) Vol. 27, Iss. 1
Open Access
Machine learning analysis identified NNMT as a potential therapeutic target for hepatocellular carcinoma based on PCD-related genes
Fuqun Wei, P.C. Huang, Bing Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Expression of lipid-metabolism genes is correlated with immune microenvironment and predicts prognosis of hepatocellular carcinoma
Liyuan Hao, Shenghao Li, Xiaoyu Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Construction of an immunogenic cell death-related LncRNA signature to predict the prognosis of patients with lung adenocarcinoma
Wang Shuaishuai, Yi Zhang
BMC Medical Genomics (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
A novel super-enhancer-related risk model for predicting prognosis and guiding personalized treatment in hepatocellular carcinoma
Qing Wu, Ping Li, Xuan Tao, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Matrix stiffness-related extracellular matrix signatures and the DYNLL1 protein promote hepatocellular carcinoma progression through the Wnt/β-catenin pathway
Yang Shen, Jiayu Chen, Zhuolin Zhou, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Developing a prognostic model for hepatocellular carcinoma based on MED19 and clinical stage and determining MED19 as a therapeutic target
Jin Xiao-jun, Yun Zhang, Wei Hu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 10
Open Access
Investigating the diagnostic and prognostic significance of genes related to fatty acid metabolism in hepatocellular carcinoma
Shasha Zhao, Rong-Rong Bai, Baohua Zhang, et al.
BMC Gastroenterology (2024) Vol. 24, Iss. 1
Open Access
Prognostic, oncogenic roles, and pharmacogenomic features of AMD1 in hepatocellular carcinoma
Youliang Zhou, Yi Zhou, Jing Hu, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access
Machine learning-based integration develops a disulfidptosis-related lncRNA signature for improving outcomes in gastric cancer
Tianze Zhang, Yuqing Chen, Zhiping Xiang
Artificial Cells Nanomedicine and Biotechnology (2024) Vol. 53, Iss. 1, pp. 1-13
Open Access
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