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:

Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing
Fang Chen, Xingyan Wang, Seon-Kyeong Jang, et al.
Nature Genetics (2023) Vol. 55, Iss. 2, pp. 291-300
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Transcriptome-wide association studies: recent advances in methods, applications and available databases
Jialin Mai, Mingming Lu, Qianwen Gao, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 57

Genetic and molecular architecture of complex traits
Tuuli Lappalainen, Yang Li, Sohini Ramachandran, et al.
Cell (2024) Vol. 187, Iss. 5, pp. 1059-1075
Open Access | Times Cited: 21

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes
Sylvanus Toikumo, Mariela Jennings, Benjamin K. Pham, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 6, pp. 1177-1193
Open Access | Times Cited: 18

Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus
Chachrit Khunsriraksakul, Qinmengge Li, Havell Markus, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 34

The landscape of the methodology in drug repurposing using human genomic data: a systematic review
Lijuan Wang, Ying Lü, Doudou Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 6

Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets
Xiaoguang Xu, Chachrit Khunsriraksakul, James Eales, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug–disease association prediction
Peiliang Zhang, Chao Che, Bo Jin, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121855-121855
Closed Access | Times Cited: 14

A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer
Guimin Gao, Julian McClellan, Alvaro Barbeira, et al.
The American Journal of Human Genetics (2024) Vol. 111, Iss. 6, pp. 1100-1113
Open Access | Times Cited: 5

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes
Lida Wang, Chachrit Khunsriraksakul, Havell Markus, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5

GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics
Chen Cao, Min Tian, Zhenghui Li, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D1006-D1015
Open Access | Times Cited: 5

Smoking-related dysregulation of plasma circulating microRNAs: the Rotterdam study
Irma Karabegović, Silvana C. E. Maas, Yu Shuai, et al.
Human Genomics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 11

TWAS facilitates gene-scale trait genetic dissection through gene expression, structural variations, and alternative splicing in soybean
Delin Li, Qi Wang, Yu Tian, et al.
Plant Communications (2024) Vol. 5, Iss. 10, pp. 101010-101010
Open Access | Times Cited: 4

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

Integrative genomics sheds light on the immunogenetics of tuberculosis in cattle
John F. O’Grady, Gillian P. McHugo, James A. Ward, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access

An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment
Lida Wang, Havell Markus, Dieyi Chen, et al.
Cell Genomics (2025), pp. 100820-100820
Open Access

Genetically regulated eRNA expression predicts chromatin contact frequency and reveals genetic mechanisms at GWAS loci
Michael J. Betti, Phillip Lin, Melinda C. Aldrich, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Enhancing nonlinear transcriptome- and proteome-wide association studies via trait imputation with applications to Alzheimer’s disease
Ruoyu He, Jingchen Ren, Mykhaylo M. Malakhov, et al.
PLoS Genetics (2025) Vol. 21, Iss. 4, pp. e1011659-e1011659
Open Access

Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges
Patrick Evans, Taylor Nagai, Anuar Konkashbaev, et al.
Current Protocols (2024) Vol. 4, Iss. 2
Closed Access | Times Cited: 3

Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci
Megan U. Carnes, Bryan C. Quach, Linran Zhou, et al.
Neuropsychopharmacology (2024)
Open Access | Times Cited: 3

MGACL: Prediction Drug–Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning
Pinglu Zhang, Peng Lin, Dehai Li, et al.
Biomolecules (2024) Vol. 14, Iss. 10, pp. 1267-1267
Open Access | Times Cited: 2

Unlocking biological insights from differentially expressed Genes: Concepts, methods, and future perspectives
Huachun Yin, Hongrui Duo, Li Song, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 2

Whole Person Modeling: a transdisciplinary approach to mental health research
Daniel Felsky, Alyssa Cannitelli, Jon Pipitone
Discover Mental Health (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 6

Multi-ancestry meta-analysis of tobacco use disorder prioritizes novel candidate risk genes and reveals associations with numerous health outcomes
Sylvanus Toikumo, Mariela Jennings, Benjamin K. Pham, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

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