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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:

Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes
Lei Chen, Tao Zeng, Xiaoyong Pan, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 17, pp. 4269-4269
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Berberine as a potential agent for breast cancer therapy
Xiao-Dan Zhong, Lijuan Chen, Xin-Yang Xu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 46
Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions
Lei Chen, Zhandong Li, Shiqi Zhang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 39
Epigenetic Clock: DNA Methylation in Aging
Shuang Jiang, Yuchen Guo
Stem Cells International (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 64
XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data
Sheetal Rajpal, Ankit Rajpal, Arpita Saggar, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120130-120130
Closed Access | Times Cited: 21
XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes
Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104979-104979
Closed Access | Times Cited: 16
MyoV: a deep learning-based tool for the automated quantification of muscle fibers
Shuang Gu, Chaoliang Wen, Zhen Xiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 5
The epigenetics of breast cancer – Opportunities for diagnostics, risk stratification and therapy
Rieke Schröder, Anna-Lena Illert, Thalia Erbes, et al.
Epigenetics (2021) Vol. 17, Iss. 6, pp. 612-624
Open Access | Times Cited: 32
Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method
FeiMing Huang, Lei Chen, Wei Guo, et al.
Life (2022) Vol. 12, Iss. 6, pp. 806-806
Open Access | Times Cited: 21
Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method
Hao Li, FeiMing Huang, HuiPing Liao, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 18
Enhanced HER2 status detection in breast and gastric cancers using surrogate DNA methylation markers
Yajie Hu, Siyu Liu, Chunhui Cui, et al.
IUBMB Life (2025) Vol. 77, Iss. 2
Closed Access
DNA methylation in breast cancer: early detection and biomarker discovery through current and emerging approaches
Melissa Hum, Ann S. G. Lee
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods
Lei Chen, Zhandong Li, Tao Zeng, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 23
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data
Qian Liu, Bowen Cheng, Yong Won Jin, et al.
Journal of Biomedical Informatics (2021) Vol. 125, pp. 103958-103958
Open Access | Times Cited: 21
A unified view of feature selection based on Hilbert-Schmidt independence criterion
Tinghua Wang, Zhenwei Hu, Harry Liu
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 236, pp. 104807-104807
Closed Access | Times Cited: 8
Cancer Diagnosis and Disease Gene Identification via Statistical Machine Learning
Liuyuan Chen, Juntao Li, Mingming Chang
Current Bioinformatics (2020) Vol. 15, Iss. 9, pp. 956-962
Closed Access | Times Cited: 23
Triphasic DeepBRCA-A Deep Learning-Based Framework for Identification of Biomarkers for Breast Cancer Stratification
Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, et al.
IEEE Access (2021) Vol. 9, pp. 103347-103364
Open Access | Times Cited: 19
Identification of genes related to immune enhancement caused by heterologous ChAdOx1–BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods
Jing Li, FeiMing Huang, Qinglan Ma, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7
Neighborhood characteristics and breast tumor methylation: using epigenomics to explore cancer outcome disparities
Jazib Gohar, L. Whitney, Jasmine M. Miller‐Kleinhenz, et al.
Breast Cancer Research and Treatment (2022) Vol. 191, Iss. 3, pp. 653-663
Closed Access | Times Cited: 12
Hub genes associated with immune cell infiltration in breast cancer, identified through bioinformatic analyses of multiple datasets
Huanyu Zhao, Ruoyu Dang, Yipan Zhu, et al.
Cancer Biology and Medicine (2022), pp. 1-28
Open Access | Times Cited: 11
Value of genomics- and radiomics-based machine learning models in the identification of breast cancer molecular subtypes: a systematic review and meta-analysis
Yiwen Zhang, Guofeng Li, Wenqing Bian, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 24, pp. 1394-1394
Open Access | Times Cited: 11
Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinoma
Weihao Tang, Yiling Cao, Xiaoke Ma
Bioscience Reports (2020) Vol. 40, Iss. 7
Open Access | Times Cited: 16
Hypermethylation of TMEM240 predicts poor hormone therapy response and disease progression in breast cancer
Ruo-Kai Lin, Chih-Ming Su, Shih‐Yun Lin, et al.
Molecular Medicine (2022) Vol. 28, Iss. 1
Open Access | Times Cited: 10
Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes
Yuhang Zhang, Wei Guo, Tao Zeng, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 11
WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection
Xuekun Song, Ke Liang, Juntao Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1563-1573
Closed Access | Times Cited: 8
Epigenetics, Microbiota, and Breast Cancer: A Systematic Review
Alba Soldado-Gordillo, Ana I. Álvarez‐Mercado
Life (2024) Vol. 14, Iss. 6, pp. 705-705
Open Access | Times Cited: 1
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