Martin J. Sullivan
- Cardiology and Cardiovascular Medicine top 1%
- Complementary and alternative medicine top 0.1%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Frederick R. CobbMichael B. HigginbothamBrian D. DuschaDalane W. KitzmanKhalid H. SheikhMary H. HawthorneRomualdo BelardinelliGary Balady
- Topics
- Cardiovascular and exercise physiology (17 papers)Cardiovascular Effects of Exercise (9 papers)Spinal Cord Injury Research (6 papers)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Martin J. Sullivan
34 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 1.9k
- Complementary and alternative medicine 1.3k
- Pulmonary and Respiratory Medicine 413
- Physiology 274
- Radiology, Nuclear Medicine and Imaging 228
Countries citing papers authored by Martin J. Sullivan
This map shows the geographic impact of Martin J. Sullivan'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 Martin J. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Sullivan more than expected).
Fields of papers citing papers by Martin J. Sullivan
This network shows the impact of papers produced by Martin J. Sullivan. 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 Martin J. Sullivan. The network helps show where Martin J. Sullivan may publish in the future.
Co-authorship network of co-authors of Martin J. Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Sullivan. A scholar is included among the top collaborators of Martin J. Sullivan 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 Martin J. Sullivan. Martin J. Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 29 | |
| 5 | 13 | |
| 6 | 141 | |
| 7 | 170 | |
| 8 | 1 | |
| 9 | 139 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 91 | |
| 13 | 19 | |
| 14 | 150 | |
| 15 | 12 | |
| 16 | 55 | |
| 17 | 64 | |
| 18 | 2 | |
| 19 | 96 | |
| 20 | Exercise intolerance in patients with heart failure and preserved left ventricular systolic function: Failure of the Frank-Starling mechanismbreakdown → | 538 |
About Martin J. Sullivan
Martin J. Sullivan is a scholar working on Complementary and alternative medicine, Microbiology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (17 papers), Cardiovascular Effects of Exercise (9 papers) and Spinal Cord Injury Research (6 papers). The work is most often cited by research in Complementary and alternative medicine (1.3k citations), Cardiology and Cardiovascular Medicine (1.9k citations) and Rehabilitation (97 citations). Martin J. Sullivan has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Frederick R. Cobb, Michael B. Higginbotham, Brian D. Duscha, Dalane W. Kitzman, Khalid H. Sheikh, Mary H. Hawthorne, Romualdo Belardinelli, Gary Balady, Jonathan Myers and Ileana L. Piña. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Neurology.
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.