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 51-75 of 471 citing articles:

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

Multi-omics analysis dissects the genetic architecture of seed coat content in Brassica napus
Yuting Zhang, Hui Zhang, Hu Zhao, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 47

Analysis of the caudate nucleus transcriptome in individuals with schizophrenia highlights effects of antipsychotics and new risk genes
Kynon JM Benjamin, Qiang Chen, Andrew E. Jaffe, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 11, pp. 1559-1568
Open Access | Times Cited: 46

Genome-wide Mendelian randomization identifies actionable novel drug targets for psychiatric disorders
Jiewei Liu, Yuqi Cheng, Ming Li, et al.
Neuropsychopharmacology (2022) Vol. 48, Iss. 2, pp. 270-280
Open Access | Times Cited: 45

Structural and Functional Deviations of the Hippocampus in Schizophrenia and Schizophrenia Animal Models
David Wegrzyn, Georg Juckel, Andréas Faissner
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 10, pp. 5482-5482
Open Access | Times Cited: 42

Boosting Schizophrenia Genetics by Utilizing Genetic Overlap With Brain Morphology
Dennis van der Meer, Alexey Shadrin, Kevin S. O’Connell, et al.
Biological Psychiatry (2022) Vol. 92, Iss. 4, pp. 291-298
Open Access | Times Cited: 41

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

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes
Yang Wu, Ting Qi, Naomi R. Wray, et al.
Cell Genomics (2023) Vol. 3, Iss. 8, pp. 100344-100344
Open Access | Times Cited: 33

Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain
Arjun Bhattacharya, Daniel Vo, Connor Jops, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2117-2128
Open Access | Times Cited: 33

Deep proteomics identifies shared molecular pathway alterations in synapses of patients with schizophrenia and bipolar disorder and mouse model
Sameer Aryal, Kevin Bonanno, Bryan J. Song, et al.
Cell Reports (2023) Vol. 42, Iss. 5, pp. 112497-112497
Open Access | Times Cited: 31

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

Epigenomic charting and functional annotation of risk loci in renal cell carcinoma
Amin H. Nassar, Sarah Abou Alaiwi, Sylvan C. Baca, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24

Integrating human endogenous retroviruses into transcriptome-wide association studies highlights novel risk factors for major psychiatric conditions
Rodrigo R. R. Duarte, Oliver Pain, Matthew L. Bendall, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Contrasting genetic predisposition and diagnosis in psychiatric disorders: A multi-omic single-nucleus analysis of the human OFC
Nathalie Gerstner, Anna S. Fröhlich, Natalie Matosin, et al.
Science Advances (2025) Vol. 11, Iss. 10
Open Access | Times Cited: 1

Zebrafish in neurodevelopmental disorders studies: Genetic models and pathological involvement of microglia
Fatemeh Hassani Nia, Valérie Wittamer
Developmental Medicine & Child Neurology (2025)
Open Access | Times Cited: 1

Embracing polygenicity: a review of methods and tools for psychiatric genetics research
Robert Maier, Peter M. Visscher, Matthew R. Robinson, et al.
Psychological Medicine (2017) Vol. 48, Iss. 7, pp. 1055-1067
Open Access | Times Cited: 84

Transcriptome‐wide association studies accounting for colocalization using Egger regression
Richard Barfield, Helian Feng, Alexander Gusev, et al.
Genetic Epidemiology (2018) Vol. 42, Iss. 5, pp. 418-433
Open Access | Times Cited: 83

A Powerful Framework for Integrating eQTL and GWAS Summary Data
Zhiyuan Xu, Chong Wu, Peng Wei, et al.
Genetics (2017) Vol. 207, Iss. 3, pp. 893-902
Open Access | Times Cited: 80

Differential methylation of enhancer at IGF2 is associated with abnormal dopamine synthesis in major psychosis
Shraddha Pai, Peipei Li, Bryan A. Killinger, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 75

Genetics of Eating Disorders
Cynthia M. Bulik, Lauren E. Blake, Jehannine Austin
Psychiatric Clinics of North America (2019) Vol. 42, Iss. 1, pp. 59-73
Open Access | Times Cited: 73

The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine
Zhihui Yang, Danyang Zhou, Huijuan Li, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 1, pp. 48-66
Closed Access | Times Cited: 72

A transcriptome-wide association study implicates specific pre- and post-synaptic abnormalities in schizophrenia
Lynsey S. Hall, Christopher W Medway, Oliver Pain, et al.
Human Molecular Genetics (2019) Vol. 29, Iss. 1, pp. 159-167
Open Access | Times Cited: 69

A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
Tom G. Richardson, Gibran Hemani, Tom R. Gaunt, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 68

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