OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Electronic health records and polygenic risk scores for predicting disease risk
Ruowang Li, Yong Chen, Marylyn D. Ritchie, et al.
Nature Reviews Genetics (2020) Vol. 21, Iss. 8, pp. 493-502
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Genome-wide association studies
Emil Uffelmann, Qin Qin Huang, Nchangwi Syntia Munung, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 1100

The influence of evolutionary history on human health and disease
Mary Lauren Benton, Abin Abraham, Abigail L. LaBella, et al.
Nature Reviews Genetics (2021) Vol. 22, Iss. 5, pp. 269-283
Open Access | Times Cited: 223

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores
Omer Weissbrod, Masahiro Kanai, Huwenbo Shi, et al.
Nature Genetics (2022) Vol. 54, Iss. 4, pp. 450-458
Open Access | Times Cited: 199

Polygenic scoring accuracy varies across the genetic ancestry continuum
Yi Ding, Kangcheng Hou, Ziqi Xu, et al.
Nature (2023) Vol. 618, Iss. 7966, pp. 774-781
Open Access | Times Cited: 156

Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification
Yi Ding, Kangcheng Hou, Kathryn S. Burch, et al.
Nature Genetics (2021) Vol. 54, Iss. 1, pp. 30-39
Open Access | Times Cited: 107

Artificial intelligence in health care
A. Chu, Liza Rachel Mathews, Kun‐Hsing Yu
Elsevier eBooks (2023), pp. 3-17
Closed Access | Times Cited: 76

Blood protein assessment of leading incident diseases and mortality in the UK Biobank
Danni A. Gadd, Robert F. Hillary, Zhana Kuncheva, et al.
Nature Aging (2024) Vol. 4, Iss. 7, pp. 939-948
Open Access | Times Cited: 31

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: 24

Calibrated prediction intervals for polygenic scores across diverse contexts
Kangcheng Hou, Ziqi Xu, Yi Ding, et al.
Nature Genetics (2024) Vol. 56, Iss. 7, pp. 1386-1396
Open Access | Times Cited: 21

Translational precision medicine: an industry perspective
Dominik Hartl, Valéria De Luca, Anna Kostikova, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 95

Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
Troels Siggaard, Roc Reguant, Isabella Friis Jørgensen, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 92

Implementation and implications for polygenic risk scores in healthcare
John L. Slunecka, Matthijs D. van der Zee, Jeffrey J. Beck, et al.
Human Genomics (2021) Vol. 15, Iss. 1
Open Access | Times Cited: 66

Machine learning approaches for electronic health records phenotyping: a methodical review
Siyue Yang, Paul Varghese, Ellen Stephenson, et al.
Journal of the American Medical Informatics Association (2022) Vol. 30, Iss. 2, pp. 367-381
Open Access | Times Cited: 63

From pharmacogenetics to pharmaco-omics: Milestones and future directions
Chiara Auwerx, Marie C. Sadler, Alexandre Reymond, et al.
Human Genetics and Genomics Advances (2022) Vol. 3, Iss. 2, pp. 100100-100100
Open Access | Times Cited: 43

Blood protein levels predict leading incident diseases and mortality in UK Biobank
Danni A. Gadd, Robert F. Hillary, Zhana Kuncheva, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 27

Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
Cong Liu, Nur Zeinomar, Wendy K. Chung, et al.
JAMA Network Open (2021) Vol. 4, Iss. 8, pp. e2119084-e2119084
Open Access | Times Cited: 47

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative
Ruth Johnson, Yi Ding, Vidhya Venkateswaran, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 34

Targeting underrepresented populations in precision medicine: A federated transfer learning approach
Sai Li, Tianxi Cai, Rui Duan
The Annals of Applied Statistics (2023) Vol. 17, Iss. 4
Open Access | Times Cited: 17

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective
Yan Gao, Teena Sharma, Yan Cui
Annual Review of Biomedical Data Science (2023) Vol. 6, Iss. 1, pp. 153-171
Open Access | Times Cited: 17

Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth
Abin Abraham, Brian L. Le, Idit Kosti, et al.
BMC Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 23

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Iain S. Forrest, Ben Omega Petrazzini, Áine Duffy, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15

Leveraging fine-mapping and non-European training data to improve cross-population polygenic risk scores
Omer Weissbrod, Masahiro Kanai, Huwenbo Shi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 30

Genetic contributions to suicidal thoughts and behaviors
Emily DiBlasi, Jooeun Kang, Anna R. Docherty
Psychological Medicine (2021) Vol. 51, Iss. 13, pp. 2148-2155
Open Access | Times Cited: 28

Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis
Yan Zhang, Weiwei Xu, Ping Yang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12

Page 1 - Next Page

Scroll to top