Binod Thapa-Chhetry
Impact in
- Nephrology top 10%
- Acute Kidney Injury Research
Papers in
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- Mobile Health and mHealth Applications 4
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- Physical Activity and Health 4
- Co-authors
- Stephen Intille (8 shared papers)Christopher J. L. Newth (1 shared paper)Vinay Vaidya (1 shared paper)Ting Feng (1 shared paper)David Inwald (1 shared paper)Junzi Dong (1 shared paper)Ramin V. Parsey (2 shared papers)J. John Mann (2 shared papers)
- Journals
- Medicine & Science in Sports & Exercise (2 papers)Journal of Psychiatric Research (1 paper)PLoS ONE (1 paper)Critical Care (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Binod Thapa-Chhetry
13 papers receiving 398 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 10
- Nephrology 43
- Biological Psychiatry 13
- Cognitive Neuroscience 84
- Applied Psychology 16
Countries citing papers authored by Binod Thapa-Chhetry
This map shows the geographic impact of Binod Thapa-Chhetry'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 Binod Thapa-Chhetry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binod Thapa-Chhetry more than expected).
Fields of papers citing papers by Binod Thapa-Chhetry
This network shows the impact of papers produced by Binod Thapa-Chhetry. 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 Binod Thapa-Chhetry. The network helps show where Binod Thapa-Chhetry may publish in the future.
Co-authors
The 25 scholars most cited alongside Binod Thapa-Chhetry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2014 | 66 | |
| 3 | 2017 | 62 | |
| 4 | 2013 | 41 | |
| 5 | 2019 | 33 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 3 |
About Binod Thapa-Chhetry
Binod Thapa-Chhetry is a scholar working on General Health Professions, Physiology, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Nephrology, having authored 13 papers that have together received 400 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (4 papers), Physical Activity and Health (4 papers), Spinal Cord Injury Research (2 papers), Context-Aware Activity Recognition Systems (2 papers), Cardiovascular and exercise physiology (1 paper), Data Visualization and Analytics (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Health Informatics (10 citations), Nephrology (43 citations), Biological Psychiatry (13 citations), Cognitive Neuroscience (84 citations) and Applied Psychology (16 citations). Binod Thapa-Chhetry has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Stephen Intille, Christopher J. L. Newth, Vinay Vaidya, Ting Feng, David Inwald, Junzi Dong, Ramin V. Parsey, J. John Mann, M. Elizabeth Sublette and María A. Oquendo. Their work appears in journals such as Medicine & Science in Sports & Exercise, Journal of Psychiatric Research, PLoS ONE, Critical Care and Journal of Affective 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.