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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:

Integrative Omics Approach to Identifying Genes Associated With Atrial Fibrillation
Biqi Wang, Kathryn L. Lunetta, Josée Dupuis, et al.
Circulation Research (2019) Vol. 126, Iss. 3, pp. 350-360
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Genetics of Atrial Fibrillation in 2020
Carolina Roselli, Michiel Rienstra, Patrick T. Ellinor
Circulation Research (2020) Vol. 127, Iss. 1, pp. 21-33
Open Access | Times Cited: 159
Atrial fibrillation: pathophysiology, genetic and epigenetic mechanisms
Manlio Vinciguerra, Dobromir Dobrev, Stanley Nattel
The Lancet Regional Health - Europe (2024) Vol. 37, pp. 100785-100785
Open Access | Times Cited: 20
An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease
Christopher Clark, Loı̈c Dayon, Mojgan Masoodi, et al.
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 74
Computational systems biology in disease modeling and control, review and perspectives
Rongting Yue, Abhishek Dutta
npj Systems Biology and Applications (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 49
SingPro: a knowledge base providing single-cell proteomic data
Xichen Lian, Yintao Zhang, Ying Zhou, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D552-D561
Open Access | Times Cited: 19
Tissue-specific multi-omics analysis of atrial fibrillation
Ines Assum, Julia Krause, Markus O. Scheinhardt, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Veterinary systems biology for bridging the phenotype–genotype gap via computational modeling for disease epidemiology and animal welfare
Rajesh Kumar Pathak, Jun‐Mo Kim
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 5
Deep learning in systems medicine
Haiying Wang, Estelle Pujos‐Guillot, Blandine Comte, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1543-1559
Open Access | Times Cited: 38
Epigenetic Remodeling in Obesity-Related Vascular Disease
Stefano Masi, Samuele Ambrosini, S A Mohammed, et al.
Antioxidants and Redox Signaling (2020) Vol. 34, Iss. 15, pp. 1165-1199
Closed Access | Times Cited: 29
New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation
Jelena Kornej, Vanessa A Hanger, Ludovic Trinquart, et al.
Cardiovascular Research (2021) Vol. 117, Iss. 7, pp. 1632-1644
Open Access | Times Cited: 21
Genetics of atrial fibrillation
Jitae A. Kim, Mihail G. Chelu, Na Li
Current Opinion in Cardiology (2021) Vol. 36, Iss. 3, pp. 281-287
Open Access | Times Cited: 20
A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research
Efstathios‐Iason Vlachavas, Jonas Bohn, Frank Ückert, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 6, pp. 2822-2822
Open Access | Times Cited: 18
Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data
Jingxian Tang, Hanfei Xu, Zihao Xin, et al.
Human Molecular Genetics (2024) Vol. 33, Iss. 8, pp. 733-738
Closed Access | Times Cited: 2
Multi-omics Integration Identifies Genes Influencing Traits Associated with Cardiovascular Risks: The Long Life Family Study
Sandeep Acharya, S. Liao, Wooseok J. Jung, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Mendelian Randomization Integrating GWAS, eQTL, and mQTL Data Identified Genes Pleiotropically Associated With Atrial Fibrillation
Yaozhong Liu, Biao Li, Yingxu Ma, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 15
ISL1 loss-of-function variation causes familial atrial fibrillation
Shaohui Wu, Xinhua Wang, Ying‐Jia Xu, et al.
European Journal of Medical Genetics (2020) Vol. 63, Iss. 11, pp. 104029-104029
Closed Access | Times Cited: 15
Comparison among random forest, logistic regression, and existing clinical risk scores for predicting outcomes in patients with atrial fibrillation: A report from the J‐RHYTHM registry
Eiichi Watanabe, Shunsuke Noyama, Ken Kiyono, et al.
Clinical Cardiology (2021) Vol. 44, Iss. 9, pp. 1305-1315
Open Access | Times Cited: 14
KLF15 Loss-of-Function Mutation Underlying Atrial Fibrillation as well as Ventricular Arrhythmias and Cardiomyopathy
Ning Li, Ying‐Jia Xu, Hongyu Shi, et al.
Genes (2021) Vol. 12, Iss. 3, pp. 408-408
Open Access | Times Cited: 12
PRRX1 Loss‐of‐Function Mutations Underlying Familial Atrial Fibrillation
Xiaojuan Guo, Xing‐Biao Qiu, Jun Wang, et al.
Journal of the American Heart Association (2021) Vol. 10, Iss. 23
Open Access | Times Cited: 12
Genome and atrial fibrillation
Yukiko Nakano
Journal of Arrhythmia (2023) Vol. 39, Iss. 3, pp. 303-309
Open Access | Times Cited: 4
Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule network
Yue Wu, Lingping Yang, Xianglu Wu, et al.
The FASEB Journal (2023) Vol. 37, Iss. 7
Closed Access | Times Cited: 4
Integrated Analysis of Genomic and Genome-Wide Association Studies Identified Candidate Genes for Nutrigenetic Studies in Flavonoids and Vascular Health: Path to Precision Nutrition for (Poly)phenols
Tatjana Ruskovska, Filip Postolov, Dragan Milenković
Nutrients (2024) Vol. 16, Iss. 9, pp. 1362-1362
Open Access | Times Cited: 1
Integrating Genetic and Transcriptomic Data to Identify Genes Underlying Obesity Risk Loci
Hanfei Xu, Shreyash Gupta, Ian Dinsmore, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A methodology for gene level omics-WAS integration identifies genes influencing traits associated with cardiovascular risks: the Long Life Family Study
Sandeep Acharya, S. Liao, Wooseok J. Jung, et al.
Human Genetics (2024)
Open Access | Times Cited: 1
Computational Systems Biology in Disease Modeling and Control, Review and Perspectives
Rongting Yue, Abhishek Dutta
Research Square (Research Square) (2022)
Open Access | Times Cited: 7
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