Tom O’Hara
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmaceutical Science top 2%
- Biomedical Engineering
- Co-authors
- Yoram RudyAndrás VarróLászló VirágJohn DevaneAdrian DunneJanyce WiebeNatalia A. TrayanovaSophie Schobesberger
- Topics
- Cardiac electrophysiology and arrhythmias (12 papers)Ion channel regulation and function (9 papers)Natural Language Processing Techniques (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicinePharmaceutical ScienceCellular and Molecular Neuroscience
- Partner nations
- United StatesJapanIreland
In The Last Decade
Tom O’Hara
36 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cardiology and Cardiovascular Medicine 1.4k
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 362
- Pharmaceutical Science 153
- Biomedical Engineering 146
Countries citing papers authored by Tom O’Hara
This map shows the geographic impact of Tom O’Hara'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 Tom O’Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom O’Hara more than expected).
Fields of papers citing papers by Tom O’Hara
This network shows the impact of papers produced by Tom O’Hara. 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 Tom O’Hara. The network helps show where Tom O’Hara may publish in the future.
Co-authorship network of co-authors of Tom O’Hara
This figure shows the co-authorship network connecting the top 25 collaborators of Tom O’Hara. A scholar is included among the top collaborators of Tom O’Hara 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 Tom O’Hara. Tom O’Hara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 102 | |
| 5 | 20 | |
| 6 | 92 | |
| 7 | 24 | |
| 8 | Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validationbreakdown → | 848 |
| 9 | 36 | |
| 10 | 102 | |
| 11 | 106 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 22 | |
| 15 | 15 | |
| 16 | Class-based collocations for Word Sense Disambiguation | 5 |
| 17 | 26 | |
| 18 | 41 | |
| 19 | [Left atrial pressure gradient and right heart failure secondary to compression of the left atrium by a huge ascending aortic aneurysm: a case report]. | 2 |
| 20 | 8 |
About Tom O’Hara
Tom O’Hara is a scholar working on Cardiology and Cardiovascular Medicine, Pharmaceutical Science and Transplantation, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (9 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Pharmaceutical Science (153 citations) and Cellular and Molecular Neuroscience (362 citations). Tom O’Hara has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include Yoram Rudy, András Varró, László Virág, John Devane, Adrian Dunne, Janyce Wiebe, Natalia A. Trayanova, Sophie Schobesberger, Viacheslav O. Nikolaev and Markus B. Sikkel. Their work appears in journals such as Circulation, Circulation Research and Radiology.
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.