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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:

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: 203

Showing 1-25 of 203 citing articles:

2023 ESC Guidelines for the management of cardiomyopathies
Elena Arbelo, Alexandros Protonotarios, Juan R. Gimeno, et al.
European Heart Journal (2023) Vol. 44, Iss. 37, pp. 3503-3626
Open Access | Times Cited: 988
Spatial multi-omic map of human myocardial infarction
Christoph Kuppe, Ricardo O. Ramirez Flores, Zhijian Li, et al.
Nature (2022) Vol. 608, Iss. 7924, pp. 766-777
Open Access | Times Cited: 372
Transfer learning enables predictions in network biology
Christina V. Theodoris, Ling Xiao, Anant Chopra, et al.
Nature (2023) Vol. 618, Iss. 7965, pp. 616-624
Open Access | Times Cited: 370
Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association
Jack W. O’Sullivan, Sridharan Raghavan, Carla Márquez‐Luna, et al.
Circulation (2022) Vol. 146, Iss. 8
Open Access | Times Cited: 245
Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning
Yi Liu, Nicolas Basty, Brandon Whitcher, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 176
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: 142
Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study
Daniel B. Rosoff, George Davey Smith, Nehal N. Mehta, et al.
PLoS Medicine (2020) Vol. 17, Iss. 12, pp. e1003410-e1003410
Open Access | Times Cited: 141
Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
Sean J. Jurgens, Seung Hoan Choi, Valerie N. Morrill, et al.
Nature Genetics (2022) Vol. 54, Iss. 3, pp. 240-250
Open Access | Times Cited: 125
Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images
Bingxin Zhao, Tengfei Li, Zirui Fan, et al.
Science (2023) Vol. 380, Iss. 6648
Closed Access | Times Cited: 115
Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure
Michael G. Levin, Noah L. Tsao, Pankhuri Singhal, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 77
Vascular cells improve functionality of human cardiac organoids
Holly K. Voges, Simon R. Foster, Liam Reynolds, et al.
Cell Reports (2023) Vol. 42, Iss. 5, pp. 112322-112322
Open Access | Times Cited: 63
Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure
Danielle Rasooly, Gina M. Peloso, Alexandre C. Pereira, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 53
Genetics of myocardial interstitial fibrosis in the human heart and association with disease
Victor Nauffal, Paolo Di Achille, Marcus D. R. Klarqvist, et al.
Nature Genetics (2023) Vol. 55, Iss. 5, pp. 777-786
Open Access | Times Cited: 45
Genome-wide association studies of cardiovascular disease
Roddy Walsh, Sean J. Jurgens, Jeanette Erdmann, et al.
Physiological Reviews (2023) Vol. 103, Iss. 3, pp. 2039-2055
Closed Access | Times Cited: 44
Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development
Amil M. Shah, Peder L. Myhre, Victoria Arthur, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Minor hypertrophic cardiomyopathy genes, major insights into the genetics of cardiomyopathies
Roddy Walsh, Joost A. Offerhaus, Rafik Tadros, et al.
Nature Reviews Cardiology (2021) Vol. 19, Iss. 3, pp. 151-167
Closed Access | Times Cited: 91
Genome-wide association analysis in dilated cardiomyopathy reveals two new players in systolic heart failure on chromosomes 3p25.1 and 22q11.23
Sophie Garnier, Magdaléna Harakaľová, Stefan Weiß, et al.
European Heart Journal (2021) Vol. 42, Iss. 20, pp. 2000-2011
Open Access | Times Cited: 71
The Complex and Diverse Genetic Architecture of Dilated Cardiomyopathy
Ray E. Hershberger, Jason Cowan, Elizabeth Jordan, et al.
Circulation Research (2021) Vol. 128, Iss. 10, pp. 1514-1532
Open Access | Times Cited: 71
Alpha-protein kinase 3 (ALPK3) truncating variants are a cause of autosomal dominant hypertrophic cardiomyopathy
Luís R. Lopes, Soledad García-Hernández, Massimiliano Lorenzini, et al.
European Heart Journal (2021) Vol. 42, Iss. 32, pp. 3063-3073
Open Access | Times Cited: 68
Frequency, Penetrance, and Variable Expressivity of Dilated Cardiomyopathy–Associated Putative Pathogenic Gene Variants in UK Biobank Participants
Ravi A. Shah, Babken Asatryan, Ghaith Sharaf Dabbagh, et al.
Circulation (2022) Vol. 146, Iss. 2, pp. 110-124
Open Access | Times Cited: 61
Genetic analysis of right heart structure and function in 40,000 people
James P. Pirruccello, Paolo Di Achille, Victor Nauffal, et al.
Nature Genetics (2022) Vol. 54, Iss. 6, pp. 792-803
Open Access | Times Cited: 60
Genome-wide association study reveals novel genetic loci: a new polygenic risk score for mitral valve prolapse
Carolina Roselli, Mengyao Yu, Victor Nauffal, et al.
European Heart Journal (2022) Vol. 43, Iss. 17, pp. 1668-1680
Open Access | Times Cited: 48
The Athlete’s Heart—Challenges and Controversies
André La Gerche, Meagan M. Wasfy, Maria Brosnan, et al.
Journal of the American College of Cardiology (2022) Vol. 80, Iss. 14, pp. 1346-1362
Open Access | Times Cited: 41
Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Adityanarayanan Radhakrishnan, Samuel Friedman, Shaan Khurshid, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36
Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass
Shaan Khurshid, Julieta Lazarte, James P. Pirruccello, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 28
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