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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.

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Showing 15 citing articles:

Advancing drug-response prediction using multi-modal and -omics machine learning integration (MOMLIN): a case study on breast cancer clinical data
Md Mamunur Rashid, Kumar Selvarajoo
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 12
A novel tumor-associated neutrophil gene signature for predicting prognosis, tumor immune microenvironment, and therapeutic response in breast cancer
Jianyou Zhang, Xinbo Wang, Zhonglai Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
High FLT3 expression increases immune‐cell infiltration in the tumor microenvironment and correlates with prolonged disease‐free survival in patients with non‐small cell lung cancer
Łukasz Kuncman, Magdalena Orzechowska, Tomasz Milecki, et al.
Molecular Oncology (2024) Vol. 18, Iss. 5, pp. 1316-1326
Open Access | Times Cited: 4
FLT3-Mutated Leukemic Stem Cells: Mechanisms of Resistance and New Therapeutic Targets
Debora Capelli
Cancers (2024) Vol. 16, Iss. 10, pp. 1819-1819
Open Access | Times Cited: 3
Unveiling the role of MDH1 in breast cancer drug resistance through single-cell sequencing and schottenol intervention
Lü Jian, Feng Ding, Yongjie Sun, et al.
Cellular Signalling (2025), pp. 111608-111608
Closed Access
Selective inhibition of CDK9 in triple negative breast cancer
Ebtihal Mustafa, Geraldine Laven‐Law, Zoya Kikhtyak, et al.
Oncogene (2023) Vol. 43, Iss. 3, pp. 202-215
Open Access | Times Cited: 5
Using publicly available datasets to identify population-based transcriptomic landscape contributing to the aggressiveness of breast cancer in young women
Marah Tabbal, Mahmood Yaseen Hachim, Reem Kais Jan, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 4
Kinase Plasticity in Response to Vandetanib Enhances Sensitivity to Tamoxifen and Identifies Co-Treatment Strategies in Estrogen Receptor Positive Breast Cancer
Rasha T. Kakati, Austin A. Whitman, Santiago Haase, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Identifying subtypes and developing prognostic models based on N6-methyladenosine and immune microenvironment related genes in breast cancer
Lizhao Wang, Jianpeng Li, Nan Mei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Integrating Bioinformatics and Drug Sensitivity Analyses to Identify Molecular Characteristics Associated with Targeting Necroptosis in Breast Cancer and their Clinical Prognostic Significance
Chang Zheng, Hanbin Guo, Yongpan Mo, et al.
Recent Patents on Anti-Cancer Drug Discovery (2023) Vol. 19, Iss. 5, pp. 681-694
Closed Access | Times Cited: 3
TFAP2C/FLT3 Axis Reduces Ferroptosis in Breast Cancer Cells by Inhibiting Mitochondrial Autophagy
Jiayue Shen, Yali He, Bingchuan Zhou, et al.
The International Journal of Biochemistry & Cell Biology (2024) Vol. 177, pp. 106691-106691
Closed Access
A prognostic model related to necrotizing apoptosis of breast cancer based on biorthogonal constrained depth semi-supervised nonnegative matrix decomposition and single-cell sequencing analysis.
Yuan Gao, Qinghua Huang, Yuling Qin, et al.
PubMed (2023) Vol. 13, Iss. 9, pp. 3875-3897
Closed Access | Times Cited: 1
The carcinogenic capacity of arsenic in normal epithelial breast cells and double-positive breast cancer cells
Alina‐Andreea Zimța, Diana Cenariu, Adrian Bogdan Țigu, et al.
Medicine and Pharmacy Reports (2024) Vol. 97, Iss. 2, pp. 184-195
Open Access
Establishment of a prediction model of ferroptosis-related genes for overall survival risk in hepatocellular carcinoma and bioinformatic analysis of the novel gene FLT3
Dapeng Cui, Ming Li, Runjia Fu, et al.
Research Square (Research Square) (2023)
Open Access
Bioinformatics analysis of GPCRs: A window into breast tumorigenesis and metastasis
Safir Ullah Khan, Karla Daniela Hernández-González, Fátima E. Murillo-González, et al.
Research Square (Research Square) (2023)
Open Access
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