Pavan Bhat
Impact in
- Aging top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Surgery 11
- Cardiac Structural Anomalies and Repair 6
- Transplantation: Methods and Outcomes 6
-
- Mechanical Circulatory Support Devices 9
- Co-authors
- Catherine A. Collins (2 shared papers)Aaron DiAntonio (2 shared papers)Xin Xiong (1 shared paper)Xin Wang (1 shared paper)William M. Saxton (1 shared paper)Miriam Jacob (7 shared papers)Dai Horiuchi (1 shared paper)Susan M. Harrington (1 shared paper)
- Journals
- European Journal of Heart Failure (2 papers)Journal of the American College of Cardiology (2 papers)European Heart Journal - Cardiovascular Imaging (2 papers)Medicine (1 paper)JAMA Cardiology (1 paper)
- Partner nations
- United States
In The Last Decade
Pavan Bhat
21 papers receiving 744 citations
Peers
Comparison fields: 5 of 79
- Aging 41
- Infectious Diseases 258
- Developmental Neuroscience 56
- Cellular and Molecular Neuroscience 175
- Neurology 115
Countries citing papers authored by Pavan Bhat
This map shows the geographic impact of Pavan Bhat'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 Pavan Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Bhat more than expected).
Fields of papers citing papers by Pavan Bhat
This network shows the impact of papers produced by Pavan Bhat. 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 Pavan Bhat. The network helps show where Pavan Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Pavan Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 303 | |
| 2 | 2010 | 218 | |
| 3 | 2007 | 133 | |
| 4 | 2020 | 25 | |
| 5 | 2023 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2018 | 1 |
About Pavan Bhat
Pavan Bhat is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Infectious Diseases and Molecular Biology, having authored 25 papers that have together received 758 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (9 papers), Cardiac Structural Anomalies and Repair (6 papers), Transplantation: Methods and Outcomes (6 papers), Ubiquitin and proteasome pathways (2 papers), Cardiac Arrest and Resuscitation (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cardiovascular Effects of Exercise (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Aging (41 citations), Infectious Diseases (258 citations), Developmental Neuroscience (56 citations), Cellular and Molecular Neuroscience (175 citations) and Neurology (115 citations). Pavan Bhat has collaborated with scholars based in United States. Frequent co-authors include Catherine A. Collins, Aaron DiAntonio, Xin Xiong, Xin Wang, William M. Saxton, Miriam Jacob, Dai Horiuchi, Susan M. Harrington, Neil Mehta and Zheyi Han. Their work appears in journals such as European Journal of Heart Failure, Journal of the American College of Cardiology, European Heart Journal - Cardiovascular Imaging, Medicine and JAMA Cardiology.
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.