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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:

The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits
Sanghoon Moon, Young Jin Kim, Sohee Han, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 243

Showing 1-25 of 243 citing articles:

Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
Niamh Mullins, Andreas J. Forstner, Kevin S. O’Connell, et al.
Nature Genetics (2021) Vol. 53, Iss. 6, pp. 817-829
Open Access | Times Cited: 1109
The power of genetic diversity in genome-wide association studies of lipids
Sarah E. Graham, Shoa L. Clarke, Kuan-Han Wu, et al.
Nature (2021) Vol. 600, Iss. 7890, pp. 675-679
Open Access | Times Cited: 640
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Anubha Mahajan, Cassandra N. Spracklen, Weihua Zhang, et al.
Nature Genetics (2022) Vol. 54, Iss. 5, pp. 560-572
Open Access | Times Cited: 505
Identification of type 2 diabetes loci in 433,540 East Asian individuals
Cassandra N. Spracklen, Momoko Horikoshi, Young Jin Kim, et al.
Nature (2020) Vol. 582, Iss. 7811, pp. 240-245
Open Access | Times Cited: 375
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Nature (2024) Vol. 627, Iss. 8003, pp. 347-357
Open Access | Times Cited: 166
Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study
Seok-Ju Hahn, Suhyeon Kim, Young Sik Choi, et al.
EBioMedicine (2022) Vol. 86, pp. 104383-104383
Open Access | Times Cited: 49
Identification of genetic effects underlying type 2 diabetes in South Asian and European populations
Marie Loh, Weihua Zhang, Hong Kiat Ng, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 46
Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits
Kisung Nam, Jangho Kim, Seunggeun Lee
Cell Genomics (2022) Vol. 2, Iss. 10, pp. 100189-100189
Open Access | Times Cited: 39
Advances in RNA Interference for Plant Functional Genomics: Unveiling Traits, Mechanisms, and Future Directions
Divya Chaudhary, A.S. Jeena, Rohit Rohit, et al.
Applied Biochemistry and Biotechnology (2024) Vol. 196, Iss. 9, pp. 5681-5710
Closed Access | Times Cited: 12
Addressing overfitting bias due to sample overlap in polygenic risk scoring
Seokho Jeong, Manu Shivakumar, Sang‐Hyuk Jung, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 4
Open Access | Times Cited: 1
Causal Associations Between Serum Bilirubin Levels and Decreased Stroke Risk
Yoonjeong Choi, Sun Ju Lee, Wes Spiller, et al.
Arteriosclerosis Thrombosis and Vascular Biology (2019) Vol. 40, Iss. 2, pp. 437-445
Open Access | Times Cited: 74
Genome-wide association study of metabolic syndrome in Korean populations
Seung‐Won Oh, Jong Eun Lee, Eun‐Soon Shin, et al.
PLoS ONE (2020) Vol. 15, Iss. 1, pp. e0227357-e0227357
Open Access | Times Cited: 64
GWAS of serum ALT and AST reveals an association of SLC30A10 Thr95Ile with hypermanganesemia symptoms
Lucas D. Ward, Ho-Chou Tu, Chelsea B. Quenneville, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 42
The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians
Young Jin Kim, Sanghoon Moon, Mi Yeong Hwang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 34
A whole-genome reference panel of 14,393 individuals for East Asian populations accelerates discovery of rare functional variants
Jaeyong Choi, Sungjae Kim, Juhyun Kim, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 19
Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores
Adrián I. Campos, Shinichi Namba, Shu‐Chin Lin, et al.
Nature Genetics (2023) Vol. 55, Iss. 10, pp. 1769-1776
Closed Access | Times Cited: 17
The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population
Na Yeon Kim, Haekyung Lee, Se Hee Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Shared genetic architectures of educational attainment in East Asian and European populations
Tzu‐Ting Chen, Jaeyoung Kim, Max Lam, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 3, pp. 562-575
Open Access | Times Cited: 7
Genome-wide association study of over 40,000 bipolar disorder cases provides new insights into the underlying biology
Niamh Mullins, Andreas J. Forstner, Kevin S. O’Connell, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 40
Twenty-Five Novel Loci for Carotid Intima-Media Thickness: A Genome-Wide Association Study in >45 000 Individuals and Meta-Analysis of >100 000 Individuals
Ming Wai Yeung, Siqi Wang, Yordi J. van de Vegte, et al.
Arteriosclerosis Thrombosis and Vascular Biology (2021) Vol. 42, Iss. 4, pp. 484-501
Open Access | Times Cited: 36
Transferability of Alzheimer Disease Polygenic Risk Score Across Populations and Its Association With Alzheimer Disease-Related Phenotypes
Sang‐Hyuk Jung, Hang‐Rai Kim, Min Young Chun, et al.
JAMA Network Open (2022) Vol. 5, Iss. 12, pp. e2247162-e2247162
Open Access | Times Cited: 27
Unveiling genetic variants for age-related sarcopenia by conducting a genome-wide association study on Korean cohorts
Heejin Jin, Hyun Ju Yoo, Ye An Kim, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications
Ken Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14
Transcriptomic and epigenomic landscapes of muscle growth during the postnatal period of broilers
Shuang Gu, Qiang Huang, Yuchen Jie, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data
Minhyuk Lee, Taesung Park, Ji-Yeon Shin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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