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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:

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder
Andrew Dahl, Michael Thompson, Ulzee An, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2082-2093
Open Access | Times Cited: 22

Showing 22 citing articles:

The genetic basis of major depressive disorder
Jonathan Flint
Molecular Psychiatry (2023) Vol. 28, Iss. 6, pp. 2254-2265
Open Access | Times Cited: 81
Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries
Ulzee An, Ali Pazokitoroudi, Marcus Alvarez, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2269-2276
Open Access | Times Cited: 24
Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks
Zachary R. McCaw, Jianhui Gao, Xihong Lin, et al.
Nature Genetics (2024) Vol. 56, Iss. 7, pp. 1527-1536
Closed Access | Times Cited: 6
Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes
Deborah Kunkel, Peter Sørensen, Vijay Shankar, et al.
PLoS Genetics (2025) Vol. 21, Iss. 1, pp. e1011519-e1011519
Open Access
Genetic association studies using disease liabilities from deep neural networks
Lu Yang, Marie C. Sadler, Russ B. Altman
The American Journal of Human Genetics (2025)
Open Access
Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease
Robert Chen, Ben Omega Petrazzini, Áine Duffy, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access
Identification of Potential Biomarkers for Major Depressive Disorder: Based on Integrated Bioinformatics and Clinical Validation
Xiaogang Zhong, Yue Chen, Weiyi Chen, et al.
Molecular Neurobiology (2024) Vol. 61, Iss. 12, pp. 10355-10364
Closed Access | Times Cited: 2
Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches.
Daniel E. Gustavson, Elisa F. Stern, Chandra A. Reynolds, et al.
Journal of Psychopathology and Clinical Science (2024) Vol. 133, Iss. 5, pp. 347-357
Closed Access | Times Cited: 2
Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression
Morten Krebs, Kajsa-Lotta Georgii Hellberg, Mischa Lundberg, et al.
The American Journal of Human Genetics (2024) Vol. 111, Iss. 11, pp. 2494-2509
Closed Access | Times Cited: 2
Polygenic Analyses Show Important Differences Between Major Depressive Disorder Symptoms Measured Using Various Instruments
Lianyun Huang, Sonja N. Tang, Jolien Rietkerk, et al.
Biological Psychiatry (2023) Vol. 95, Iss. 12, pp. 1110-1121
Open Access | Times Cited: 5
Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.
Deborah Kunkel, Peter Sørensen, Vijay Shankar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Multitrait Genetic Analysis Identifies Novel Pleiotropic Loci for Depression and Schizophrenia in East Asians
Yingchao Song, Linzehao Li, Yue Jiang, et al.
Schizophrenia Bulletin (2024)
Closed Access | Times Cited: 1
Valid inference for machine learning-assisted genome-wide association studies
Jiacheng Miao, Yixuan Wu, Zhongxuan Sun, et al.
Nature Genetics (2024)
Closed Access | Times Cited: 1
Association between polygenic risk scores combined with clinical characteristics and antidepressant efficacy
Yongqi Shao, Yufan Cai, Haiping Tang, et al.
Journal of Affective Disorders (2024) Vol. 369, pp. 559-567
Closed Access | Times Cited: 1
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score
Robert Chen, Áine Duffy, Ben Omega Petrazzini, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Genetic association studies using disease liabilities from deep neural networks
Lu Yang, Marie C. Sadler, Russ B. Altman
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Multi-organ imaging-derived polygenic indexes for brain and body health
Xiaochen Yang, Patrick F. Sullivan, Bingxuan Li, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Identification of Myocardial Infarction (MI) Probability from Imbalanced Medical Survey Data: An Artificial Neural Network (ANN) with Explainable AI (XAI) Insights
Simon Bin Akter, Sumya Akter, Tanmoy Sarkar Pias, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Causal considerations can determine the utility of machine learning assisted GWAS
Sumit Mukherjee, Zachary R. McCaw, David Amar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Assessment and ascertainment in psychiatric molecular genetics: challenges and opportunities for cross-disorder research
Na Cai, Brad Verhulst, Ole A. Andreassen, et al.
Molecular Psychiatry (2024)
Open Access
Considerations for the application of polygenic scores to clinical care of individuals with substance use disorders
Rachel L. Kember, Christal N. Davis, Kyra L. Feuer, et al.
Journal of Clinical Investigation (2024) Vol. 134, Iss. 20
Open Access
Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF
Lianyun Huang, Sonja N. Tang, Jolien Rietkerk, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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