Sushanth Bhat
Impact in
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
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- Sleep and Wakefulness Research 15
- Physiology 14
- Obstructive Sleep Apnea Research 12
- Co-authors
- Sudhansu Chokroverty (33 shared papers)Peter Polos (10 shared papers)Divya Gupta (12 shared papers)Genevieve Pinto Zipp (2 shared papers)Vincent A. DeBari (5 shared papers)David Rosen (3 shared papers)Л. А. Лысенко (5 shared papers)Xue Ming (2 shared papers)
- Journals
- Sleep Medicine (11 papers)Journal of Clinical Sleep Medicine (3 papers)CHEST Journal (2 papers)Sleep Medicine Clinics (2 papers)Epileptic Disorders (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Sushanth Bhat
36 papers receiving 592 citations
Peers
Comparison fields: 5 of 82
- Experimental and Cognitive Psychology 197
- Endocrine and Autonomic Systems 87
- Cognitive Neuroscience 183
- Applied Psychology 31
- Neurology 77
Countries citing papers authored by Sushanth Bhat
This map shows the geographic impact of Sushanth 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 Sushanth Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushanth Bhat more than expected).
Fields of papers citing papers by Sushanth Bhat
This network shows the impact of papers produced by Sushanth 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 Sushanth Bhat. The network helps show where Sushanth Bhat may publish in the future.
Co-authors
The 21 scholars most cited alongside Sushanth 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2021 | 93 | |
| 3 | 2018 | 88 | |
| 4 | 2015 | 51 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2012 | 26 | |
| 8 | 2012 | 25 | |
| 9 | 2013 | 21 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 2013 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2014 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2012 | 6 | |
| 20 | 2012 | 6 |
About Sushanth Bhat
Sushanth Bhat is a scholar working on Cognitive Neuroscience, Physiology, Neurology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 43 papers that have together received 629 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (15 papers), Obstructive Sleep Apnea Research (12 papers), Sleep and related disorders (8 papers), Neuroscience of respiration and sleep (7 papers), Restless Legs Syndrome Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (197 citations), Endocrine and Autonomic Systems (87 citations), Cognitive Neuroscience (183 citations), Applied Psychology (31 citations) and Neurology (77 citations). Sushanth Bhat has collaborated with scholars based in United States and India. Frequent co-authors include Sudhansu Chokroverty, Peter Polos, Divya Gupta, Genevieve Pinto Zipp, Vincent A. DeBari, David Rosen, Л. А. Лысенко, Xue Ming, Richard J. O’Malley and Saqib Chaudhry. Their work appears in journals such as Sleep Medicine, Journal of Clinical Sleep Medicine, CHEST Journal, Sleep Medicine Clinics and Epileptic Disorders.
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.