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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 21 citing articles:

Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine
Sreya Vadapalli, Habiba Abdelhalim, Saman Zeeshan, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 73
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine
Vignesh Venkat, Habiba Abdelhalim, William DeGroat, et al.
Genomics (2023) Vol. 115, Iss. 2, pp. 110584-110584
Open Access | Times Cited: 33
Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities
Zeeshan Ahmed
Emerging Topics in Life Sciences (2022) Vol. 6, Iss. 2, pp. 215-225
Closed Access | Times Cited: 22
Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis
Zeeshan Ahmed
Progress in molecular biology and translational science (2022), pp. 101-125
Closed Access | Times Cited: 22
Applying AI/ML for Analyzing Gene Expression Patterns
Zeeshan Ahmed
Methods in molecular biology (2025), pp. 319-330
Closed Access
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review
Yu Liu, Boyuan Wang
Frontiers in Public Health (2025) Vol. 13
Open Access
Integration of Bioinformatic Tools in Functional Analysis of Genes and Their Application in Disease Diagnosis
Jaspreet Kaur, Simran Jit, Mansi Verma
(2025), pp. 29-71
Closed Access
Hygieia: AI/ML pipeline integrating healthcare and genomics data to investigate genes associated with targeted disorders and predict disease
William DeGroat, Vignesh Venkat, Widnie Pierre-Louis, et al.
Software Impacts (2023) Vol. 16, pp. 100493-100493
Closed Access | Times Cited: 12
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions
Lopamudra Dey, Sanjay Chakraborty
Gene (2025) Vol. 942, pp. 149228-149228
Closed Access
Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches
Zeeshan Ahmed, William DeGroat, Habiba Abdelhalim, et al.
Clinical Oral Investigations (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 3
RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk heart failure patients
Zeeshan Ahmed, Saman Zeeshan, Bruce T. Liang
Human Genomics (2021) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases
Ishani Mhatre, Habiba Abdelhalim, William DeGroat, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping
Zeeshan Ahmed, Eduard Gibert Renart, Saman Zeeshan
PeerJ (2021) Vol. 9, pp. e11724-e11724
Open Access | Times Cited: 17
Investigating genes associated with cardiovascular disease among heart failure patients for translational research and precision medicine
Zeeshan Ahmed, Saman Zeeshan, Nicholas Persaud, et al.
Clinical and Translational Discovery (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 5
Deciphering expression and variants in cardiovascular disease genes among heart failure population for precision medicine
Zeeshan Ahmed
ESC Heart Failure (2023) Vol. 11, Iss. 1, pp. 606-609
Open Access | Times Cited: 5
Intelligent Health System for the Investigation of Consenting COVID-19 Patients and Precision Medicine
Zeeshan Ahmed
Personalized Medicine (2021) Vol. 18, Iss. 6, pp. 573-582
Open Access | Times Cited: 9
Recent Applications of Bioinformatics in Target Identification and Drug Discovery for Alzheimer’s Disease
Sushil Kumar Singh, Ashok Kumar, Ravi Bhushan Singh, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 26, pp. 2153-2175
Closed Access | Times Cited: 6
Integrated ACMG-approved genes and ICD codes for the translational research and precision medicine
Raghunandan Wable, Achuth Suresh Nair, Anirudh Pappu, et al.
Database (2023) Vol. 2023
Open Access | Times Cited: 2
RNA‐seq‐driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients
Asude Berber, Habiba Abdelhalim, Saman Zeeshan, et al.
Clinical and Translational Medicine (2022) Vol. 12, Iss. 7
Open Access | Times Cited: 4
Integrated ACMG approved genes and ICD codes for the translational research and precision medicine
Raghunandan Wable, Achuth Suresh Nair, Anirudh Pappu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Investigating variant and expression of CVD genes associated phenotypes among high-risk Heart Failure patients
Zeeshan Ahmed, Saman Zeeshan, Nicholas Persaud, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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