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:

An ensemble penalized regression method for multi-ancestry polygenic risk prediction
Jingning Zhang, Jianan Zhan, Jin Jin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data
Wei Jiang, Ling Chen, Matthew J. Girgenti, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Optimizing and benchmarking polygenic risk scores with GWAS summary statistics
Zijie Zhao, Tim Gruenloh, Meiyi Yan, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4

Unsupervised Ensemble Learning for Efficient Integration of Pre-trained Polygenic Risk Scores
Chenyin Gao, Justin D. Tubbs, Yi Han, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Transferability of Single‐ and Cross‐Tissue Transcriptome Imputation Models Across Ancestry Groups
Inti Pagnuco, Stephen Eyre, Magnus Rattray, et al.
Genetic Epidemiology (2025) Vol. 49, Iss. 1
Open Access

An Integrative Polygenic and Epigenetic Risk Score for Overweight-Related Hypertension in Chinese Population
Yaning Zhang, Qiwen Zheng, Qili Qian, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine
Jin Jin, Bingxuan Li, Xiyao Wang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Evaluating Multi-Ancestry Genome-Wide Association Methods: Statistical Power, Population Structure, and Practical Implications
Julie-Alexia Dias, Tony Chen, Xing Hua, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Diversifying Psychiatric Genomics
Paola Giusti‐Rodríguez, Niran Okewole, Sanjeev Jain, et al.
Psychiatric Clinics of North America (2025)
Closed Access

Incorporating multiple functional annotations to improve polygenic risk prediction accuracy
Zhonghe Shao, W.H. Wilson Tang, WU Hong-ji, et al.
Cell Genomics (2025), pp. 100850-100850
Open Access

All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations
Kristin Tsuo, Zhuozheng Shi, Tian Ge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Fast and scalable ensemble learning method for versatile polygenic risk prediction
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 33
Open Access | Times Cited: 3

One score to rule them all: regularized ensemble polygenic risk prediction with GWAS summary statistics
Zijie Zhao, Stephen Dorn, Yuchang Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

An Ensemble Penalized Regression Method for Multi-ancestry Polygenic Risk Prediction
Jingning Zhang, Jianan Zhan, Jin Jin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9

Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices
Tony Chen, Giang Pham, Louis Fox, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Comparison of Methods for Building Polygenic Scores for Diverse Populations
Sophia Gunn, Xin Wang, Daniel Posner, et al.
Human Genetics and Genomics Advances (2024) Vol. 6, Iss. 1, pp. 100355-100355
Open Access | Times Cited: 2

The breadth and impact of the Global Lipids Genetics Consortium
Jacqueline S. Dron, Pradeep Natarajan, Gina M. Peloso
Current Opinion in Lipidology (2024)
Closed Access | Times Cited: 2

Biobank-scale methods and projections for sparse polygenic prediction from machine learning
Timothy G. Raben, Louis Lello, Erik Widén, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Leveraging genetic correlations and multiple populations to improve genetic risk prediction for non-European populations
Leqi Xu, Geyu Zhou, Wei Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

Leveraging genetic correlations and multiple populations to improve genetic risk prediction for non-European populations
Hongyu Zhao, Leqi Xu, Geyu Zhou, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

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