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:

Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits
Bryan C. Quach, Michael J. Bray, Nathan Gaddis, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Connie W. Tsao, Aaron W. Aday, Zaid Almarzooq, et al.
Circulation (2023) Vol. 147, Iss. 8
Open Access | Times Cited: 4232

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association
Seth S. Martin, Aaron W. Aday, Zaid Almarzooq, et al.
Circulation (2024) Vol. 149, Iss. 8
Open Access | Times Cited: 914

Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
Alexander S. Hatoum, Sarah M. C. Colbert, Emma C. Johnson, et al.
Nature Mental Health (2023) Vol. 1, Iss. 3, pp. 210-223
Open Access | Times Cited: 129

Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications
Daniel F. Levey, Marco Galimberti, Joseph D. Deak, et al.
Nature Genetics (2023) Vol. 55, Iss. 12, pp. 2094-2103
Open Access | Times Cited: 52

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

Genetics of substance use disorders in the era of big data
Joel Gelernter, Renato Polimanti
Nature Reviews Genetics (2021) Vol. 22, Iss. 11, pp. 712-729
Open Access | Times Cited: 96

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

Characterizing the Shared Genetic Underpinnings of Schizophrenia and Cardiovascular Disease Risk Factors
Linn Rødevand, Zillur Rahman, Guy Hindley, et al.
American Journal of Psychiatry (2023) Vol. 180, Iss. 11, pp. 815-826
Closed Access | Times Cited: 35

The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders
Andrew D. Grotzinger, Josefin Werme, Wouter J. Peyrot, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1

Genetics of substance use disorders: a review
Joseph D. Deak, Emma C. Johnson
Psychological Medicine (2021) Vol. 51, Iss. 13, pp. 2189-2200
Open Access | Times Cited: 50

Genome-wide association study of problematic opioid prescription use in 132,113 23andMe research participants of European ancestry
Sandra Sanchez‐Roige, Pierre Fontanillas, Mariela Jennings, et al.
Molecular Psychiatry (2021) Vol. 26, Iss. 11, pp. 6209-6217
Open Access | Times Cited: 49

The relationship between cannabis and schizophrenia: a genetically informed perspective
Emma C. Johnson, Alexander S. Hatoum, Joseph D. Deak, et al.
Addiction (2021) Vol. 116, Iss. 11, pp. 3227-3234
Open Access | Times Cited: 44

The Genetically Informed Neurobiology of Addiction (GINA) model
Ryan Bogdan, Alexander S. Hatoum, Emma C. Johnson, et al.
Nature reviews. Neuroscience (2022) Vol. 24, Iss. 1, pp. 40-57
Closed Access | Times Cited: 28

Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
Alexander S. Hatoum, Sarah M. C. Colbert, Emma C. Johnson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 27

Chromatin architecture in addiction circuitry identifies risk genes and potential biological mechanisms underlying cigarette smoking and alcohol use traits
Nancy Y. A. Sey, Benxia Hu, Marina Iskhakova, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 7, pp. 3085-3094
Open Access | Times Cited: 27

Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders
Dóra Koller, Marina Mitjans, Manuela R. Kouakou, et al.
Psychiatry Research (2024) Vol. 333, pp. 115758-115758
Open Access | Times Cited: 5

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks
Changhong Jing, Yanyan Shen, Shen Zhao, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5026-5039
Closed Access | Times Cited: 5

Familial Risks and Proportions Describing Population Landscape of Familial Cancer
Kari Hemminki, Kristina Sundquist, Jan Sundquist, et al.
Cancers (2021) Vol. 13, Iss. 17, pp. 4385-4385
Open Access | Times Cited: 32

Rare genetic variants explain missing heritability in smoking
Seon-Kyeong Jang, Luke M. Evans, Allison Fialkowski, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 11, pp. 1577-1586
Open Access | Times Cited: 22

Novel Biological Insights Into the Common Heritable Liability to Substance Involvement: A Multivariate Genome-wide Association Study
Tabea Schoeler, Jessie R. Baldwin, Andrea G. Allegrini, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 6, pp. 524-535
Open Access | Times Cited: 19

Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts
Peter B. Barr, Morgan N. Driver, Sally I‐Chun Kuo, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 11, pp. 4633-4641
Open Access | Times Cited: 19

Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study
Heng Xu, Sylvanus Toikumo, Richard C. Crist, et al.
Addiction (2023) Vol. 118, Iss. 10, pp. 1942-1952
Open Access | Times Cited: 11

Genetic influences and causal pathways shared between cannabis use disorder and other substance use traits
Marco Galimberti, Daniel F. Levey, Joseph D. Deak, et al.
Molecular Psychiatry (2024)
Open Access | Times Cited: 4

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