Mark A. Supiano
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Robert HogikyanJeffrey B. HalterDonald R. DengelS. G. GlickmanCharles S. MarnAndrzej T. GałeckiJames T. FitzgeraldBrent C. Williams
- Topics
- Blood Pressure and Hypertension Studies (43 papers)Heart Rate Variability and Autonomic Control (26 papers)Cardiovascular Health and Disease Prevention (21 papers)
- Cited by
- Neuropsychology and Physiological PsychologyGeriatrics and GerontologyCardiology and Cardiovascular Medicine
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark A. Supiano
124 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 140
- Cardiology and Cardiovascular Medicine 1.3k
- Physiology 818
- Endocrinology, Diabetes and Metabolism 383
- Surgery 337
- Molecular Biology 330
Countries citing papers authored by Mark A. Supiano
This map shows the geographic impact of Mark A. Supiano'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 Mark A. Supiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Supiano more than expected).
Fields of papers citing papers by Mark A. Supiano
This network shows the impact of papers produced by Mark A. Supiano. 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 Mark A. Supiano. The network helps show where Mark A. Supiano may publish in the future.
Co-authorship network of co-authors of Mark A. Supiano
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Supiano. A scholar is included among the top collaborators of Mark A. Supiano 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 Mark A. Supiano. Mark A. Supiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 26 | |
| 14 | 112 | |
| 15 | 62 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 31 | |
| 19 | 25 | |
| 20 | 23 |
About Mark A. Supiano
Mark A. Supiano is a scholar working on Neuropsychology and Physiological Psychology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 129 papers that have together received 3.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (43 papers), Heart Rate Variability and Autonomic Control (26 papers) and Cardiovascular Health and Disease Prevention (21 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (154 citations), Geriatrics and Gerontology (294 citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Mark A. Supiano has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert Hogikyan, Jeffrey B. Halter, Donald R. Dengel, S. G. Glickman, Charles S. Marn, Andrzej T. Gałecki, James T. Fitzgerald, Brent C. Williams, D. Walter Wray and Jeff D. Williamson. Their work appears in journals such as Circulation, Journal of Clinical Investigation and The Journal of Immunology.
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.