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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:

Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics
Justin M. Luningham, Junyu Chen, Shizhen Tang, et al.
The American Journal of Human Genetics (2020) Vol. 107, Iss. 4, pp. 714-726
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study
Chen Cao, Jianhua Wang, Devin Kwok, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1123-D1130
Open Access | Times Cited: 338
Advancing the use of genome-wide association studies for drug repurposing
William R. Reay, Murray J. Cairns
Nature Reviews Genetics (2021) Vol. 22, Iss. 10, pp. 658-671
Closed Access | Times Cited: 211
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies
Arjun Bhattacharya, Yun Li, Michael I. Love
PLoS Genetics (2021) Vol. 17, Iss. 3, pp. e1009398-e1009398
Open Access | Times Cited: 66
OTTERS: a powerful TWAS framework leveraging summary-level reference data
Qile Dai, Geyu Zhou, Hongyu Zhao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 27
An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs
Yang Zhang, Mengyao Wang, Zhenguo Li, et al.
Science China Life Sciences (2024) Vol. 67, Iss. 6, pp. 1133-1154
Closed Access | Times Cited: 16
Conditional transcriptome-wide association study for fine-mapping candidate causal genes
Lu Liu, Ran Yan, Ping Guo, et al.
Nature Genetics (2024) Vol. 56, Iss. 2, pp. 348-356
Closed Access | Times Cited: 15
Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia
Shizhen Tang, Aron S. Buchman, Philip L. De Jager, et al.
PLoS Genetics (2021) Vol. 17, Iss. 4, pp. e1009482-e1009482
Open Access | Times Cited: 51
Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative
Arjun Bhattacharya, Jibril Hirbo, Dan Zhou, et al.
Cell Genomics (2022) Vol. 2, Iss. 10, pp. 100180-100180
Open Access | Times Cited: 31
On the interpretation of transcriptome-wide association studies
Christiaan de Leeuw, Josefin Werme, Jeanne E. Savage, et al.
PLoS Genetics (2023) Vol. 19, Iss. 9, pp. e1010921-e1010921
Open Access | Times Cited: 18
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
Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia
Shu‐Yi Guo, Jingjing Yang
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Disentangling genetic feature selection and aggregation in transcriptome-wide association studies
Chen Cao, Pathum Kossinna, Devin Kwok, et al.
Genetics (2021) Vol. 220, Iss. 2
Open Access | Times Cited: 32
TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8
Randy L. Parrish, Greg Gibson, Michael P. Epstein, et al.
Human Genetics and Genomics Advances (2021) Vol. 3, Iss. 1, pp. 100068-100068
Open Access | Times Cited: 28
Joint analysis of proteome, transcriptome, and multi-trait analysis to identify novel Parkinson’s disease risk genes
Jingjing Shi, Chengyuan Mao, Yazhou Guo, et al.
Aging (2024) Vol. 16, Iss. 2, pp. 1555-1580
Open Access | Times Cited: 4
Revealing the genetic complexity of hypothyroidism: integrating complementary association methods
Roei Zucker, Michael Kovalerchik, Amos Stern, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 4
Application of Bayesian genomic prediction methods to genome-wide association analyses
Anna Wolc, Jack C. M. Dekkers
Genetics Selection Evolution (2022) Vol. 54, Iss. 1
Open Access | Times Cited: 17
Brain and blood transcriptome-wide association studies identify five novel genes associated with Alzheimer's disease
Makaela Mews, Adam C. Naj, Anthony J. Griswold, et al.
Journal of Alzheimer s Disease (2025)
Open Access
Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science
Thomas R. Goddard, Keeley J. Brookes, Riddhi Sharma, et al.
Cells (2024) Vol. 13, Iss. 3, pp. 223-223
Open Access | Times Cited: 3
Transcriptome-wide association studies associated with Crohn’s disease: challenges and perspectives
Keyu Jia, Jun Shen
Cell & Bioscience (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia
S. Taylor Head, Felipe Segato Dezem, Andrei Todor, et al.
The American Journal of Human Genetics (2024) Vol. 111, Iss. 6, pp. 1084-1099
Closed Access | Times Cited: 3
Gaining new insights into the etiology of ulcerative colitis through a cross-tissue transcriptome-wide association study
Shijie Ren, Chaodi Sun, Wen-Jing Zhai, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 3
Chromosome X-wide association study in case control studies of pathologically confirmed Alzheimer’s disease in a European population
Emily Simmonds, Ganna Leonenko, Ümran Yaman, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
The goldmine of GWAS summary statistics: a systematic review of methods and tools
Panagiota I. Kontou, Pantelis G. Bagos
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Transcriptome-wide association study in UK Biobank Europeans identifies associations with blood cell traits
Bryce Rowland, Sanan Venkatesh, Manuel Tardáguila, et al.
Human Molecular Genetics (2022) Vol. 31, Iss. 14, pp. 2333-2347
Open Access | Times Cited: 13
Incorporating genome-wide and transcriptome-wide association studies to identify genetic elements of longissimus dorsi muscle in Huaxi cattle
Mang Liang, Bingxing An, Tianyu Deng, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 7
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