Jason T. Jacobson
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- Cardiac electrophysiology and arrhythmias 31
- Cardiac Arrhythmias and Treatments 28
- Cardiac pacing and defibrillation studies 18
- Atrial Fibrillation Management and Outcomes 16
- Cardiovascular Function and Risk Factors 4
- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Effects of Exercise 3
- ECG Monitoring and Analysis 3
- Co-authors
- Vickas V. PatelGregory E. MorleyAntony ChuJeffery D. MolkentinIgor KostetskiiGlenn L. RadiceCindy YuJifen Li
- Journals
- Journal of Cardiovascular Electrophysiology (5 papers)Cardiology in Review (5 papers)American Journal of Physiology-Heart and Circulatory Physiology (5 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Jason T. Jacobson
52 papers receiving 768 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 524
- Molecular Biology 244
- Genetics 32
- Cell Biology 46
- Radiology, Nuclear Medicine and Imaging 63
Countries citing papers authored by Jason T. Jacobson
This map shows the geographic impact of Jason T. Jacobson'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 T. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Jacobson more than expected).
Fields of papers citing papers by Jason T. Jacobson
This network shows the impact of papers produced by Jason T. Jacobson. 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 T. Jacobson. The network helps show where Jason T. Jacobson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason T. Jacobson, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 44 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 0 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 0 | |
| 12 | 2015 | 21 | |
| 13 | 2015 | 8 | |
| 14 | 2012 | 29 | |
| 15 | 2011 | 7 | |
| 16 | 2010 | 12 | |
| 17 | 2009 | 12 | |
| 18 | 2009 | 64 | |
| 19 | 2007 | 23 | |
| 20 | 2005 | 41 |
About Jason T. Jacobson
Jason T. Jacobson is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Behavioral Neuroscience, having authored 58 papers that have together received 783 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Cardiac Arrhythmias and Treatments (28 papers), Cardiac pacing and defibrillation studies (18 papers), Atrial Fibrillation Management and Outcomes (16 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Effects of Exercise (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (524 citations), Molecular Biology (244 citations) and Genetics (32 citations). Jason T. Jacobson has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Vickas V. Patel, Gregory E. Morley, Antony Chu, Jeffery D. Molkentin, Igor Kostetskii, Glenn L. Radice, Cindy Yu, Jifen Li, David J. Callans and Jeffrey J. Goldberger. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, Cardiology in Review, American Journal of Physiology-Heart and Circulatory Physiology, Pacing and Clinical Electrophysiology and Journal of the American College of Cardiology.
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.