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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:

Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights
Alexander Gusev, Nicholas Mancuso, Hyejung Won, et al.
Nature Genetics (2018) Vol. 50, Iss. 4, pp. 538-548
Open Access | Times Cited: 471

Showing 1-25 of 471 citing articles:

Functional mapping and annotation of genetic associations with FUMA
Kyoko Watanabe, Erdogan Taskesen, Arjen van Bochoven, et al.
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 3352
Opportunities and challenges for transcriptome-wide association studies
Michael Wainberg, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.
Nature Genetics (2019) Vol. 51, Iss. 4, pp. 592-599
Open Access | Times Cited: 778
From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases
Eddie Cano-Gamez, Gosia Trynka
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 480
Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders
Patrick F. Sullivan, Daniel H. Geschwind
Cell (2019) Vol. 177, Iss. 1, pp. 162-183
Open Access | Times Cited: 400
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Yang Wu, Jian Zeng, Futao Zhang, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 399
Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
Towfique Raj, Yang Li, Garrett Wong, et al.
Nature Genetics (2018) Vol. 50, Iss. 11, pp. 1584-1592
Open Access | Times Cited: 385
Probabilistic fine-mapping of transcriptome-wide association studies
Nicholas Mancuso, Malika Freund, Ruth Johnson, et al.
Nature Genetics (2019) Vol. 51, Iss. 4, pp. 675-682
Open Access | Times Cited: 346
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
Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses
Chris Wallace
PLoS Genetics (2020) Vol. 16, Iss. 4, pp. e1008720-e1008720
Open Access | Times Cited: 317
Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits
Nicholas Mancuso, Huwenbo Shi, Pagé C. Goddard, et al.
The American Journal of Human Genetics (2017) Vol. 100, Iss. 3, pp. 473-487
Open Access | Times Cited: 297
Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis
Aliza P. Wingo, Yue Liu, Ekaterina S. Gerasimov, et al.
Nature Genetics (2021) Vol. 53, Iss. 2, pp. 143-146
Open Access | Times Cited: 290
A Bayesian framework for multiple trait colocalization from summary association statistics
Claudia Giambartolomei, Jimmy Zhenli Liu, Wen Zhang, et al.
Bioinformatics (2018) Vol. 34, Iss. 15, pp. 2538-2545
Open Access | Times Cited: 272
A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles
Nancy Y. A. Sey, Benxia Hu, Won Mah, et al.
Nature Neuroscience (2020) Vol. 23, Iss. 4, pp. 583-593
Open Access | Times Cited: 262
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
Bingxin Zhao, Tianyou Luo, Tengfei Li, et al.
Nature Genetics (2019) Vol. 51, Iss. 11, pp. 1637-1644
Open Access | Times Cited: 255
Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms
Rebecca L. Walker, Gokul Ramaswami, Christopher Hartl, et al.
Cell (2019) Vol. 179, Iss. 3, pp. 750-771.e22
Open Access | Times Cited: 243
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
Wei Zhou, Masahiro Kanai, Kuan-Han Wu, et al.
Cell Genomics (2022) Vol. 2, Iss. 10, pp. 100192-100192
Open Access | Times Cited: 239
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
Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy
James P. Pirruccello, Alexander G. Bick, Minxian Wang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 204
No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes
Emma C. Johnson, Richard Border, Whitney E. Melroy-Greif, et al.
Biological Psychiatry (2017) Vol. 82, Iss. 10, pp. 702-708
Open Access | Times Cited: 198
Regional Heterogeneity in Gene Expression, Regulation, and Coherence in the Frontal Cortex and Hippocampus across Development and Schizophrenia
Leonardo Collado‐Torres, Emily E. Burke, Amy Peterson, et al.
Neuron (2019) Vol. 103, Iss. 2, pp. 203-216.e8
Open Access | Times Cited: 191
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus
Shan Tang, Hu Zhao, Shaoping Lu, et al.
Molecular Plant (2020) Vol. 14, Iss. 3, pp. 470-487
Open Access | Times Cited: 174
Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies
Kátia de Paiva Lopes, Gijsje J. L. Snijders, Jack Humphrey, et al.
Nature Genetics (2022) Vol. 54, Iss. 1, pp. 4-17
Open Access | Times Cited: 172
Prioritizing Parkinson’s disease genes using population-scale transcriptomic data
Yang Li, Garrett Wong, Jack Humphrey, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 153
Deep learning enables genetic analysis of the human thoracic aorta
James P. Pirruccello, Mark Chaffin, Elizabeth L. Chou, et al.
Nature Genetics (2021) Vol. 54, Iss. 1, pp. 40-51
Open Access | Times Cited: 145
Brain proteome-wide association study implicates novel proteins in depression pathogenesis
Thomas S. Wingo, Yue Liu, Ekaterina S. Gerasimov, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 6, pp. 810-817
Open Access | Times Cited: 131
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