Jason T. Jacobson
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Cellular and Molecular Neuroscience
- Co-authors
- Vickas V. PatelGregory E. MorleyAntony ChuJeffery D. MolkentinIgor KostetskiiGlenn L. RadiceCindy YuJifen Li
- Topics
- Cardiac electrophysiology and arrhythmias (31 papers)Cardiac Arrhythmias and Treatments (28 papers)Cardiac pacing and defibrillation studies (18 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
- Surgery 118
- Radiology, Nuclear Medicine and Imaging 63
- Cellular and Molecular Neuroscience 46
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 of co-authors of Jason T. Jacobson
This figure shows the co-authorship network connecting the top 25 collaborators of Jason T. Jacobson. A scholar is included among the top collaborators of Jason T. Jacobson 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 T. Jacobson. Jason T. Jacobson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 44 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | 8 | |
| 14 | 29 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 12 | |
| 18 | 64 | |
| 19 | 23 | |
| 20 | 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) and Cardiac pacing and defibrillation studies (18 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 Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.