Scott Visovatti
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Physiology top 1%
- Co-authors
- David J. PinskyVallerie V. McLaughlinMatthew C. HymanHui LiaoDiane BouïsElof ErikssonTomomi HasegawaDinesh Khanna
- Topics
- Pulmonary Hypertension Research and Treatments (26 papers)Cardiovascular Function and Risk Factors (7 papers)Adenosine and Purinergic Signaling (7 papers)
- Journals
- CirculationJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Scott Visovatti
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Pulmonary and Respiratory Medicine 507
- Cardiology and Cardiovascular Medicine 283
- Pathology and Forensic Medicine 251
- Molecular Biology 232
- Physiology 223
Countries citing papers authored by Scott Visovatti
This map shows the geographic impact of Scott Visovatti'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 Scott Visovatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Visovatti more than expected).
Fields of papers citing papers by Scott Visovatti
This network shows the impact of papers produced by Scott Visovatti. 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 Scott Visovatti. The network helps show where Scott Visovatti may publish in the future.
Co-authorship network of co-authors of Scott Visovatti
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Visovatti. A scholar is included among the top collaborators of Scott Visovatti 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 Scott Visovatti. Scott Visovatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 80 | |
| 11 | 30 | |
| 12 | 56 | |
| 13 | 1 | |
| 14 | 142 | |
| 15 | 113 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 98 | |
| 19 | 47 | |
| 20 | 39 |
About Scott Visovatti
Scott Visovatti is a scholar working on Internal Medicine, Physiology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (26 papers), Cardiovascular Function and Risk Factors (7 papers) and Adenosine and Purinergic Signaling (7 papers). The work is most often cited by research in Physiology (223 citations), Rehabilitation (175 citations) and Internal Medicine (92 citations). Scott Visovatti has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include David J. Pinsky, Vallerie V. McLaughlin, Matthew C. Hyman, Hui Liao, Diane Bouïs, Elof Eriksson, Tomomi Hasegawa, Dinesh Khanna, Danica Petrovic‐Djergovic and Takanori Hayasaki. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.