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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:

A review of genetic variant databases and machine learning tools for predicting the pathogenicity of breast cancer
Rahaf M. Ahmad, Bassam R. Ali, Fatma Al‐Jasmi, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Text Mining to Understand Disease-Causing Gene Variants
Leena Nezamuldeen, M. Saleet Jafri
Knowledge (2024) Vol. 4, Iss. 3, pp. 422-443
Open Access | Times Cited: 3
Advancements in Gene Structure Prediction: Innovation and Prospects of Deep Learning Models Apply in Multi-species
Tong Wang, H. J. Yang, Ting Xu, et al.
(2025) Vol. 1, Iss. 1, pp. 55-116
Closed Access
Knowledge of the genetics of human pain gained over the last decade from next-generation sequencing
Dario Kringel, Jörn Lötsch
Pharmacological Research (2025), pp. 107667-107667
Open Access
A graph neural network approach for accurate prediction of pathogenicity in multi-type variants
Hongtao Yu, Guojing He, Wei Wang, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Incorporating functional genomics into the pathology-supported genetic testing framework implemented in South Africa: A future view of precision medicine for breast carcinomas
Claudia Christowitz, Daniel Wilhelm Olivier, J Schneider, et al.
Mutation Research/Reviews in Mutation Research (2024) Vol. 793, pp. 108492-108492
Open Access | Times Cited: 2
Global Initiatives and Collaborations in AI for Alzheimer's Disease
A. Chandrashekhar, Nikhat Parveen, A. Muthumari, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 342-355
Closed Access | Times Cited: 1
The Machine Learning Algorithms in Supply Chain Coordination Simulation and Optimization
Qingping Zhang, Yi He
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 5, pp. 3603-3613
Open Access
Exploring the Role of Natural Learning Processing in Alzheimer's Disease Research and Prediction
Yusra Ashfaque Ali, P. N. Pathak, Nitu Dogra, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 419-432
Closed Access
AI-derived comparative assessment of the performance of pathogenicity prediction tools on missense variants of breast cancer genes
Rahaf M. Ahmad, Bassam R. Ali, Fatma Al‐Jasmi, et al.
Human Genomics (2024) Vol. 18, Iss. 1
Open Access
Accuracy of RENOVO Predictions on Genetic Variants Reclassified Over Time
Emanuele Bonetti, Giulia Tini, Luca Mazzarella
Research Square (Research Square) (2024)
Open Access
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