Jason D. Bayer

2.7k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Jason D. Bayer is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jason D. Bayer has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Jason D. Bayer's work include Cardiac electrophysiology and arrhythmias (36 papers), Cardiac Arrhythmias and Treatments (19 papers) and Atrial Fibrillation Management and Outcomes (12 papers). Jason D. Bayer is often cited by papers focused on Cardiac electrophysiology and arrhythmias (36 papers), Cardiac Arrhythmias and Treatments (19 papers) and Atrial Fibrillation Management and Outcomes (12 papers). Jason D. Bayer collaborates with scholars based in France, United States and Austria. Jason D. Bayer's co-authors include Natalia A. Trayanova, Gernot Plank, Robert Blake, Edward J. Vigmond, Sanjiv M. Narayan, Caroline H. Roney, Gautam Lalani, Hubert Cochet, Pierre Jaı̈s and Ali Pashaei and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Physiology.

In The Last Decade

Jason D. Bayer

47 papers receiving 1.9k citations

Hit Papers

A Novel Rule-Based Algorithm for Assigning Myocardial Fib... 2012 2026 2016 2021 2012 100 200 300

Peers

Jason D. Bayer
Hermenegild Arevalo United States
Mark L. Trew New Zealand
Étienne Pruvot Switzerland
Chris P. Bradley New Zealand
Axel Loewe Germany
Martin J. Bishop United Kingdom
Jason D. Bayer
Citations per year, relative to Jason D. Bayer Jason D. Bayer (= 1×) peers Esther Pueyo

Countries citing papers authored by Jason D. Bayer

Since Specialization
Citations

This map shows the geographic impact of Jason D. Bayer'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 Jason D. Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason D. Bayer more than expected).

Fields of papers citing papers by Jason D. Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason D. Bayer. 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 Jason D. Bayer. The network helps show where Jason D. Bayer may publish in the future.

Co-authorship network of co-authors of Jason D. Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Bayer. A scholar is included among the top collaborators of Jason D. Bayer 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 Jason D. Bayer. Jason D. Bayer 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.
Morotti, Stefano, et al.. (2025). Development and Clinical Validation of a Cross-Sex Translator of ECG Drug Responses. JACC. Clinical electrophysiology. 11(9). 2014–2027. 1 indexed citations
2.
Vigmond, Edward J., Stéphane Massé, Caroline H. Roney, Jason D. Bayer, & Kumaraswamy Nanthakumar. (2025). The Accuracy of Cardiac Surface Conduction Velocity Measurements. JACC. Clinical electrophysiology. 11(4). 694–705. 1 indexed citations
3.
Feng, Yingjing, Caroline H. Roney, Jason D. Bayer, et al.. (2022). Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation. PLoS Computational Biology. 18(3). e1009893–e1009893. 4 indexed citations
4.
Walton, Richard D., et al.. (2021). Low-energy, single-pulse surface stimulation defibrillates large mammalian ventricles. Heart Rhythm. 19(2). 308–317. 6 indexed citations
5.
Bayer, Jason D., et al.. (2021). The Purkinje network plays a major role in low-energy ventricular defibrillation. Computers in Biology and Medicine. 141. 105133–105133. 5 indexed citations
6.
Rivaud, Mathilde R., Jason D. Bayer, Matthijs Cluitmans, et al.. (2020). Critical repolarization gradients determine the induction of reentry-based torsades de pointes arrhythmia in models of long QT syndrome. Heart Rhythm. 18(2). 278–287. 18 indexed citations
7.
Meo, Marianna, Josselin Duchâteau, Jason D. Bayer, et al.. (2019). An Automated Platform to Standardize Position in the Left Atrium and Map Electrophysiological Data. Computing in cardiology.
8.
Bayer, Jason D., Bastiaan J. Boukens, Sébastien P.J. Krul, et al.. (2019). Acetylcholine Delays Atrial Activation to Facilitate Atrial Fibrillation. Frontiers in Physiology. 10. 1105–1105. 21 indexed citations
9.
Liu, Jie, Jason D. Bayer, Roozbeh Aschar‐Sobbi, et al.. (2018). Complex interactions in a novel SCN5A compound mutation associated with long QT and Brugada syndrome: Implications for Na+ channel blocking pharmacotherapy for de novo conduction disease. PLoS ONE. 13(5). e0197273–e0197273. 2 indexed citations
10.
Walton, Richard D., Jason D. Bayer, Michel Haı̈ssaguerre, et al.. (2018). Role of the Purkinje-Muscle Junction on the Ventricular Repolarization Heterogeneity in the Healthy and Ischemic Ovine Ventricular Myocardium. Frontiers in Physiology. 9. 718–718. 15 indexed citations
11.
Roney, Caroline H., Jason D. Bayer, Marianna Meo, et al.. (2018). Wavelength and Fibrosis Affect Phase Singularity Locations During Atrial Fibrillation. Frontiers in Physiology. 9. 1207–1207. 31 indexed citations
12.
Bayer, Jason D., Anton J. Prassl, Ali Pashaei, et al.. (2018). Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data. Medical Image Analysis. 45. 83–93. 89 indexed citations
13.
Bayer, Jason D., Gautam Lalani, Edward J. Vigmond, Sanjiv M. Narayan, & Natalia A. Trayanova. (2016). Mechanisms linking electrical alternans and clinical ventricular arrhythmia in human heart failure. Heart Rhythm. 13(9). 1922–1931. 28 indexed citations
14.
Pashaei, Ali, Jason D. Bayer, Valentin Meillet, Rémi Dubois, & Edward J. Vigmond. (2014). Computation and Projection of Spiral Wave Trajectories During Atrial Fibrillation. Cardiac Electrophysiology Clinics. 7(1). 37–47. 3 indexed citations
15.
Labarthe, Simon, Jason D. Bayer, Yves Coudière, et al.. (2014). A bilayer model of human atria: mathematical background, construction, and assessment. EP Europace. 16(suppl 4). iv21–iv29. 63 indexed citations
16.
Hu, Yuxuan, Viatcheslav Gurev, Jason Constantino, Jason D. Bayer, & Natalia A. Trayanova. (2013). Effects of Mechano-Electric Feedback on Scroll Wave Stability in Human Ventricular Fibrillation. PLoS ONE. 8(4). e60287–e60287. 43 indexed citations
17.
Ashikaga, Hiroshi, Hermenegild Arevalo, Fijoy Vadakkumpadan, et al.. (2013). Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia. Heart Rhythm. 10(8). 1109–1116. 110 indexed citations
18.
Trayanova, Natalia A., Tom O’Hara, Jason D. Bayer, et al.. (2012). Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones. EP Europace. 14(suppl 5). v82–v89. 24 indexed citations
19.
Narayan, Sanjiv M., Jason D. Bayer, Gautam Lalani, & Natalia A. Trayanova. (2008). Action Potential Dynamics Explain Arrhythmic Vulnerability in Human Heart Failure. Journal of the American College of Cardiology. 52(22). 1782–1792. 79 indexed citations
20.
Bayer, Jason D., Jacques Beaumont, & Andrzej Król. (2005). Laplace–Dirichlet Energy Field Specification for Deformable Models. An FEM Approach to Active Contour Fitting. Annals of Biomedical Engineering. 33(9). 1175–1186. 15 indexed citations

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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