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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:

MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies
Boran Gao, Xiang Zhou
Nature Genetics (2024) Vol. 56, Iss. 1, pp. 170-179
Closed Access | Times Cited: 25

Showing 25 citing articles:

Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression
Yifan Li, Xinglun Dang, Rui Chen, et al.
Nature Human Behaviour (2025)
Open Access | Times Cited: 3
Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia
Xinglun Dang, Zhaowei Teng, Yongfeng Yang, et al.
Nature Human Behaviour (2025)
Closed Access | Times Cited: 2
Using omics data and genome editing methods to decipher GWAS loci associated with coronary artery disease
Arnaud Chignon, Guillaume Lettre
Atherosclerosis (2025) Vol. 401, pp. 118621-118621
Open Access | Times Cited: 1
An evolving understanding of multiple causal variants underlying genetic association signals
Erping Long, Jacob Williams, Haoyu Zhang, et al.
The American Journal of Human Genetics (2025)
Closed Access | Times Cited: 1
Integrative multi-omics QTL colocalization maps regulatory architecture in aging human brain
Xuewei Cao, Haochen Sun, Ru Feng, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations
Joshua G. Schraiber, Michael D. Edge, Matt Pennell
PLoS Biology (2024) Vol. 22, Iss. 10, pp. e3002847-e3002847
Open Access | Times Cited: 5
Improved multi-ancestry fine-mapping identifiescis-regulatory variants underlying molecular traits and disease risk
Zeyun Lu, Xinran Wang, Matthew Carr, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
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
fastGxE: Powering genome-wide detection of genotype-environment interactions in biobank studies
Xiang Zhou, Chao Ning
Research Square (Research Square) (2025)
Closed Access
Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies
Zikun Yang, Chen Wang, Yuridia S. Posadas‐García, et al.
The American Journal of Human Genetics (2025)
Closed Access
Cross-ancestry genome-wide association study identifies new susceptibility genes for preeclampsia
Yuping Shan, Hong Hu, Yijing Chu
BMC Pregnancy and Childbirth (2025) Vol. 25, Iss. 1
Open Access
Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits
Feng Zhou, William J. Astle, Adam S. Butterworth, et al.
Cell Genomics (2025), pp. 100847-100847
Open Access
Characterizing the Genetic Landscape of Major Depression through Multiple-trait and Cross-ancestry GWAS Meta-Analysis of 1,396,021 Individuals
Yu Feng, Xiaolong Ji, Peng Huang, et al.
Research Square (Research Square) (2025)
Closed Access
Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease
Xi Cao, Minghui Jiang, Yanfang Guan, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Methodological opportunities in genomic data analysis to advance health equity
Brieuc Lehmann, Leandra Bräuninger, Yoonsu Cho, et al.
Nature Reviews Genetics (2025)
Closed Access
MultiSuSiE improves multi-ancestry fine-mapping in All of Us whole-genome sequencing data
Jordan Rossen, Huwenbo Shi, Benjamin J. Strober, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Biological Insights from Schizophrenia-associated Loci in Ancestral Populations
Tim B. Bigdeli, Chris Chatzinakos, Jaroslav Bendl, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations
Joshua G. Schraiber, Michael D. Edge, Matt Pennell
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Funmap: integrating high-dimensional functional annotations to improve fine-mapping
Yuekai Li, Jiashun Xiao, Jingsi Ming, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations
Sheng Fu, William Wheeler, Kevin Wang, et al.
PLoS Genetics (2024) Vol. 20, Iss. 10, pp. e1011322-e1011322
Open Access | Times Cited: 1
Robust fine-mapping in the presence of linkage disequilibrium mismatch
Wenmin Zhang, Tianyuan Lu, Robert Sladek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Diverse ancestry GWAS for advanced age-related macular degeneration in TOPMed-imputed and Ophthalmologically-confirmed 16,108 cases and 18,038 controls
Mathias Gorski, Michelle Grunin, Janina M. Herold, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
The Quantitative Genetics of Human Disease: 2 Polygenic Risk Scores
David J. Cutler, Kiana Jodeiry, Andrew J. Bass, et al.
(2024), pp. 1-65
Open Access | Times Cited: 1
Expanding the genetic landscape of endometriosis: Integrative -omics analyses specify key pathways from a multi-ancestry study of over 900,000 women
Lindsay Guare, Jagyashila Das, Lannawill Caruth, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
FABIO: TWAS fine-mapping to prioritize causal genes for binary traits
Haihan Zhang, Kevin He, Zheng Li, et al.
PLoS Genetics (2024) Vol. 20, Iss. 12, pp. e1011503-e1011503
Open Access
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