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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:

Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis
Yejinpeng Wang, Chen Liang, Gang Wang, et al.
Journal of Cellular Physiology (2018) Vol. 234, Iss. 7, pp. 10225-10237
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

CENPA promotes clear cell renal cell carcinoma progression and metastasis via Wnt/β-catenin signaling pathway
Qi Wang, Jiaju Xu, Zhiyong Xiong, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 58
Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy
Jialin Meng, Aimin Jiang, Xiaofan Lu, et al.
iMeta (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 21
Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis
Yang Gu, Jun Li, Deliang Guo, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 41
Bladder Cancer Exhibiting High Immune Infiltration Shows the Lowest Response Rate to Immune Checkpoint Inhibitors
Shen Pan, Yunhong Zhan, Xiaonan Chen, et al.
Frontiers in Oncology (2019) Vol. 9
Open Access | Times Cited: 41
Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma
Zhenyuan Ning, Weihao Pan, Yuting Chen, et al.
Bioinformatics (2020) Vol. 36, Iss. 9, pp. 2888-2895
Open Access | Times Cited: 38
Targeted Luminescent Probes for Precise Upconversion/NIR II Luminescence Diagnosis of Lung Adenocarcinoma
Ruichan Lv, Yanxing Wang, Bi Lin, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 11, pp. 4984-4992
Closed Access | Times Cited: 30
Identification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis
Yexun Song, Wenfang Tang, Hui Li
Bioscience Reports (2021) Vol. 41, Iss. 1
Open Access | Times Cited: 25
Prognostic Role of TMED3 in Clear Cell Renal Cell Carcinoma: A Retrospective Multi-Cohort Analysis
Mihyang Ha, Hwan Moon, Dongwook Choi, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 27
Identification and Validation of CYBB, CD86, and C3AR1 as the Key Genes Related to Macrophage Infiltration of Gastric Cancer
Haiyan Chen, Qi Sun, Cangang Zhang, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 21
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma
Rong Ma, Yanyun Zhao, Miao He, et al.
Cancer Cell International (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 22
Influence of gene expression on survival of clear cell renal cell carcinoma
Anders Berglund, Ernest K. Amankwah, Youngchul Kim, et al.
Cancer Medicine (2020) Vol. 9, Iss. 22, pp. 8662-8675
Open Access | Times Cited: 20
Immunogenomic Analyses of the Prognostic Predictive Model for Patients With Renal Cancer
Tao Feng, Jiahui Zhao, Dechao Wei, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 17
Identification of SV2C and DENR as Key Biomarkers for Parkinson’s Disease Based on Bioinformatics, Machine Learning, and Experimental Verification
Jiecong Wu, Wenqi Wu, Ping Jiang, et al.
Journal of Molecular Neuroscience (2024) Vol. 74, Iss. 1
Closed Access | Times Cited: 2
Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma
Haiping Zhang, Jian Zou, Ying Yin, et al.
PeerJ (2019) Vol. 7, pp. e8096-e8096
Open Access | Times Cited: 17
Weighted correlation network bioinformatics uncovers a key molecular biosignature driving the left-sided heart failure
Jiamin Zhou, Wei Zhang, Chunying Wei, et al.
BMC Medical Genomics (2020) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Identification and validation of key modules and hub genes associated with the pathological stage of oral squamous cell carcinoma by weighted gene co-expression network analysis
Xuegang Hu, Guanwen Sun, Zhiqiang Shi, et al.
PeerJ (2020) Vol. 8, pp. e8505-e8505
Open Access | Times Cited: 14
Identifying Clear Cell Renal Cell Carcinoma Coexpression Networks Associated with Opioid Signaling and Survival
Joseph R. Scarpa, Renzo G. DiNatale, Roy Mano, et al.
Cancer Research (2020) Vol. 81, Iss. 4, pp. 1101-1110
Open Access | Times Cited: 14
CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis
Yuping Zeng, He He, Yu Zhang, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 12
Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma
Ruizhi Gao, Hui Qin, Peng Lin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 11
Transcriptome research identifies four hub genes related to primary myelofibrosis: a holistic research by weighted gene co-expression network analysis
Weihang Li, Yingjing Zhao, Dong Wang, et al.
Aging (2021) Vol. 13, Iss. 19, pp. 23284-23307
Open Access | Times Cited: 11
Molecular profiling of mucinous epithelial ovarian cancer by weighted gene co-expression network analysis
Gui Hong Zhang, Miao Miao Chen, Jin Yan Kai, et al.
Gene (2019) Vol. 709, pp. 56-64
Closed Access | Times Cited: 11
GABRQ expression is a potential prognostic marker for patients with clear cell renal cell carcinoma
Dongjun Lee, Mihyang Ha, Chae Hong, et al.
Oncology Letters (2019)
Open Access | Times Cited: 10
Analysis and verification of N6-methyladenosine-modified genes as novel biomarkers for clear cell renal cell carcinoma
Zhenyu Yang, Bo Peng, Yongbo Pan, et al.
Bioengineered (2021) Vol. 12, Iss. 2, pp. 9473-9483
Open Access | Times Cited: 9
The Choice of Candidates in Survival Markers Based on Coordinated Gene Expression in Renal Cancer
Н. В. Апанович, П. В. Апанович, Danzan Mansorunov, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 8
Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
Shan Gao, Dongjie Zhu, Jian Zhu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 8
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