Jason D. Bayer
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- Cardiac electrophysiology and arrhythmias 36
- Cardiac Arrhythmias and Treatments 19
- Atrial Fibrillation Management and Outcomes 12
- ECG Monitoring and Analysis 9
- Cardiac pacing and defibrillation studies 7
- Cardiovascular Function and Risk Factors 5
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- Cardiac Imaging and Diagnostics 4
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- Ion channel regulation and function 6
- Co-authors
- Natalia A. TrayanovaGernot PlankRobert BlakeEdward J. VigmondSanjiv M. NarayanCaroline H. RoneyGautam LalaniHubert Cochet
- Cited by
- Cardiology and Cardiovascular MedicineCellular and Molecular NeuroscienceRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of the American College of Cardiology (1 paper)PLoS ONE (2 papers)The Journal of Physiology (1 paper)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Jason D. Bayer
47 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 1.5k
- Cellular and Molecular Neuroscience 207
- Radiology, Nuclear Medicine and Imaging 219
- Health Informatics 8
- Biomedical Engineering 215
Countries citing papers authored by Jason D. Bayer
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
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
The 25 scholars most cited alongside Jason D. Bayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 89 | |
| 13 | 2016 | 28 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 63 | |
| 16 | 2013 | 43 | |
| 17 | 2013 | 110 | |
| 18 | 2012 | 24 | |
| 19 | 2008 | 79 | |
| 20 | 2005 | 15 |
About Jason D. Bayer
Jason D. Bayer is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (36 papers), Cardiac Arrhythmias and Treatments (19 papers), Atrial Fibrillation Management and Outcomes (12 papers), ECG Monitoring and Analysis (9 papers), Cardiac pacing and defibrillation studies (7 papers), Ion channel regulation and function (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Cellular and Molecular Neuroscience (207 citations) and Radiology, Nuclear Medicine and Imaging (219 citations). Jason D. Bayer has collaborated with scholars based in France, United States and Austria. Frequent 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. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Physiology.
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.