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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:

The application of big data to cardiovascular disease: paths to precision medicine
Jane A. Leopold, Bradley A. Maron, Joseph Loscalzo
Journal of Clinical Investigation (2020) Vol. 130, Iss. 1, pp. 29-38
Open Access | Times Cited: 91

Showing 26-50 of 91 citing articles:

Integrating RNA-seq and machine learning to identify novel biotargets and high-affinity ligands for cardiovascular disease management
Hala Abubaker Bagabir, Shimaa Mohammad Yousof, Lamis AbdelGadir Kaddam, et al.
Journal of King Saud University - Science (2025), pp. 1-8
Open Access
Revolutionizing Utility of Big Data Analytics in Personalized Cardiovascular Healthcare
Pankaj Sharma, Pratyusha Sharma, Kamal Sharma, et al.
Bioengineering (2025) Vol. 12, Iss. 5, pp. 463-463
Open Access
The potential of long noncoding RNAs for precision medicine in human cancer
Mingming Wu, Xiao Zhang, Xinghua Han, et al.
Cancer Letters (2020) Vol. 501, pp. 12-19
Closed Access | Times Cited: 32
Network medicine in Cardiovascular Research
Laurel Yong-Hwa Lee, Arvind K. Pandey, Bradley A. Maron, et al.
Cardiovascular Research (2020) Vol. 117, Iss. 10, pp. 2186-2202
Open Access | Times Cited: 28
Integrative Multi-Omics Analysis in Calcific Aortic Valve Disease Reveals a Link to the Formation of Amyloid-Like Deposits
Marina Augusto Heuschkel, Nikolaos T. Skenteris, Joshua D. Hutcheson, et al.
Cells (2020) Vol. 9, Iss. 10, pp. 2164-2164
Open Access | Times Cited: 25
Tensions in Taxonomies: Current Understanding and Future Directions in the Pathobiologic Basis and Treatment of Group 1 and Group 3 Pulmonary Hypertension
Sue Gu, Khushboo Goel, Lindsay M. Forbes, et al.
Comprehensive physiology (2023), pp. 4295-4319
Open Access | Times Cited: 9
Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond
Sepideh Sadegh, James Skelton, Elisa Anastasi, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
IBD Systems Biology Is Here to Stay
Claudio Fiocchi, Dimitrios Iliopoulos
Inflammatory Bowel Diseases (2021) Vol. 27, Iss. 6, pp. 760-770
Open Access | Times Cited: 18
Artificial Intelligence in Cardiovascular Medicine: Historical Overview, Current Status, and Future Directions
Zvonimir Krajcer
Texas Heart Institute Journal (2022) Vol. 49, Iss. 2
Open Access | Times Cited: 14
Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases
Ishani Mhatre, Habiba Abdelhalim, William DeGroat, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information
Ji-Hye Moon, Hugo F. Posada–Quintero, Ki H. Chon
Expert Systems with Applications (2022) Vol. 213, pp. 118930-118930
Closed Access | Times Cited: 11
Integrated proteomic and metabolomic profile analyses of cardiac valves revealed molecular mechanisms and targets in calcific aortic valve disease
Bo Fu, Jing Wang, Lianqun Wang, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 11
Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases
Abhijeet R. Sonawane, Elena Aïkawa, Masanori Aikawa
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 10
Personalized prediction of incident hospitalization for cardiovascular disease in patients with hypertension using machine learning
Yuanchao Feng, Alexander A. C. Leung, Xuewen Lu, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Uncovering common pathobiological processes between COVID‐19 and pulmonary arterial hypertension by integrating Omics data
Rui‐Sheng Wang, Joseph Loscalzo
Pulmonary Circulation (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Investigating genes associated with cardiovascular disease among heart failure patients for translational research and precision medicine
Zeeshan Ahmed, Saman Zeeshan, Nicholas Persaud, et al.
Clinical and Translational Discovery (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 5
A machine learning based approach to identify carotid subclinical atherosclerosis endotypes
Qiao Sen Chen, Otto Bergman, Louise Ziegler, et al.
Cardiovascular Research (2023) Vol. 119, Iss. 16, pp. 2594-2606
Open Access | Times Cited: 5
A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification
Markus Huellebrand, Matthias Ivantsits, Lennart Tautz, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 8
Meeting the Challenges of Myocarditis: New Opportunities for Prevention, Detection, and Intervention—A Report from the 2021 National Heart, Lung, and Blood Institute Workshop
Daniela Čiháková, Yang Shi, Bishow B. Adhikari, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5721-5721
Open Access | Times Cited: 8
Advanced hemodynamic and cluster analysis for identifying novel RV function subphenotypes in patients with pulmonary hypertension
Alexandra M Janowski, Keeley Ravellette, Michael Insel, et al.
The Journal of Heart and Lung Transplantation (2023) Vol. 43, Iss. 5, pp. 755-770
Open Access | Times Cited: 4
Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups
Hiroe Seto, H. Toki, Shuji Kitora, et al.
Environmental Health and Preventive Medicine (2024) Vol. 29, pp. 2-2
Open Access | Times Cited: 1
Back to the basics: The need for an etiological classification of chronic heart failure
Filippos Triposkiadis, Αndrew Xanthopoulos, Stavros G. Drakos, et al.
Current Problems in Cardiology (2024) Vol. 49, Iss. 4, pp. 102460-102460
Closed Access | Times Cited: 1
Cancer and pulmonary hypertension: Learning lessons and real-life interplay
Soni Savai Pullamsetti, Sreenath Nayakanti, Prakash Chelladurai, et al.
Global Cardiology Science and Practice (2020) Vol. 2020, Iss. 1
Open Access | Times Cited: 10
Big Data and Deep Learning‐Based Video Classification Model for Sports
Lin Wang, Haiyan Zhang, Guoliang Yuan
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 9
Pulmonary arterial hypertension: Cellular and molecular changes in the lung
Bradley A. Maron
Global Cardiology Science and Practice (2020) Vol. 2020, Iss. 1
Open Access | Times Cited: 9

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