Jonathan W. Waks

2.0k total citations
88 papers, 1.1k citations indexed

About

Jonathan W. Waks is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine. According to data from OpenAlex, Jonathan W. Waks has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Internal Medicine. Recurrent topics in Jonathan W. Waks's work include Cardiac electrophysiology and arrhythmias (44 papers), Cardiac Arrhythmias and Treatments (42 papers) and Atrial Fibrillation Management and Outcomes (31 papers). Jonathan W. Waks is often cited by papers focused on Cardiac electrophysiology and arrhythmias (44 papers), Cardiac Arrhythmias and Treatments (42 papers) and Atrial Fibrillation Management and Outcomes (31 papers). Jonathan W. Waks collaborates with scholars based in United States, United Kingdom and Belgium. Jonathan W. Waks's co-authors include Alfred E. Buxton, Larisa G. Tereshchenko, Mark E. Josephson, Peter Zimetbaum, Rod Passman, Muammar Kabir, Daniel B. Kramer, Hans F. Stabenau, Wendy S. Post and Elsayed Z. Soliman and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of the American College of Cardiology.

In The Last Decade

Jonathan W. Waks

75 papers receiving 1.1k citations

Peers

Jonathan W. Waks
Tuomas Kenttä Finland
Jerzy Krzysztof Wranicz Poland
Tatsuya Kawasaki Japan
Jared D. Miller United States
Mehmet Bilge Türkiye
Luca Santini Italy
John E. Gialafos Greece
Valter Bianchi Italy
Ragesh Panikkath United States
Takeshi Machino Japan
Tuomas Kenttä Finland
Jonathan W. Waks
Citations per year, relative to Jonathan W. Waks Jonathan W. Waks (= 1×) peers Tuomas Kenttä

Countries citing papers authored by Jonathan W. Waks

Since Specialization
Citations

This map shows the geographic impact of Jonathan W. Waks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan W. Waks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Waks more than expected).

Fields of papers citing papers by Jonathan W. Waks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan W. Waks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan W. Waks. The network helps show where Jonathan W. Waks may publish in the future.

Co-authorship network of co-authors of Jonathan W. Waks

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan W. Waks. A scholar is included among the top collaborators of Jonathan W. Waks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan W. Waks. Jonathan W. Waks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sau, Arunashis, Henry Zhang, Joseph Barker, et al.. (2025). Artificial Intelligence–Enhanced Electrocardiography for Complete Heart Block Risk Stratification. JAMA Cardiology. 10(11). 1092–1092.
2.
Sau, Arunashis, Joseph Barker, Kathryn A. McGurk, et al.. (2025). Prediction of incident atrial fibrillation: A comprehensive evaluation of conventional and artificial intelligence-enhanced approaches. Heart Rhythm. 23(2). e183–e191. 3 indexed citations
3.
Barker, Joseph, Riyaz Somani, Paolo Inglese, et al.. (2025). Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach. npj Digital Medicine. 8(1). 779–779.
4.
Waks, Jonathan W., John‐Ross D. Clarke, Duane S. Pinto, et al.. (2025). Mechanisms Underlying Alterations in Cardiac Conduction After Transcatheter Aortic Valve Replacement. JAMA Cardiology. 11(1). 25–25.
5.
Liang, Yixiu, Arunashis Sau, Joseph Barker, et al.. (2025). Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study. European Heart Journal. 46(44). 4823–4837. 2 indexed citations
6.
Maher, Timothy, Andrew H. Locke, Robert DʼAngelo, et al.. (2024). Targeting Wavefront Discontinuity Lines for Scar-Related Ventricular Tachycardia Ablation. JACC. Clinical electrophysiology. 10(7). 1255–1270. 5 indexed citations
7.
Sau, Arunashis, Antônio H. Ribeiro, Kathryn A. McGurk, et al.. (2024). Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digital Medicine. 7(1). 167–167. 9 indexed citations
8.
9.
Reddy, Vivek Y., Moussa Mansour, Hugh Calkins, et al.. (2024). LB-469809-02 IMPACT OF PULSED FIELD VS THERMAL ABLATION ON ONE-YEAR ATRIAL ARRHYTHMIA BURDEN – SUB-ANALYSIS OF THE ADVENT TRIAL. Heart Rhythm. 21(7). 1203–1203.
10.
Waks, Jonathan W., Don Yungher, Timothy Maher, et al.. (2024). Predictors of first-pass isolation in patients with recurrent atrial fibrillation: A retrospective cohort study. Heart Rhythm O2. 5(10). 713–719. 3 indexed citations
11.
Tartler, Tim M., Aiman Suleiman, Luca J. Wachtendorf, et al.. (2023). Recovery and safety with prolonged high-frequency jet ventilation for catheter ablation of atrial fibrillation: A hospital registry study from a New England healthcare network. Journal of Clinical Anesthesia. 93. 111324–111324. 5 indexed citations
12.
13.
Pang, Trudy, Bruce D. Nearing, Jonathan W. Waks, et al.. (2023). Individuals with chronic epilepsy have elevated P‐wave heterogeneity comparable to patients with atrial fibrillation. Epilepsia. 64(9). 2361–2372. 11 indexed citations
14.
Waks, Jonathan W., et al.. (2023). A Focus on the Right Atrium. JACC Case Reports. 11. 101788–101788. 1 indexed citations
15.
16.
Sau, Arunashis, Daniel B. Kramer, Jonathan W. Waks, et al.. (2023). Artificial intelligence–enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia. PubMed. 4(2). 60–67. 9 indexed citations
17.
Stabenau, Hans F., et al.. (2023). The Spatial Ventricular Gradient Is an Independent Predictor of Anthracycline-Associated Cardiotoxicity. JACC Advances. 2(2). 100269–100269. 2 indexed citations
18.
Waks, Jonathan W., et al.. (2018). Risk Stratification of Sudden Cardiac Death After Acute Myocardial Infarction. Journal of Innovations in Cardiac Rhythm Management. 9(2). 3035–3049. 20 indexed citations
19.
Steinhaus, Daniel A., et al.. (2015). Effect of Smaller Left Ventricular Capture Threshold Safety Margins to Improve Device Longevity in Recipients of Cardiac Resynchronization-Defibrillation Therapy. The American Journal of Cardiology. 116(1). 85–87. 8 indexed citations
20.
Waks, Jonathan W.. (1964). [IN VITRO ACTION OF ERYTHROMYCIN STEARATE ON MONOBACTERIAL CULTURES OF ENTAMOEBA HISTOLYTICA].. PubMed. 51. 648–50.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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