Arpit Singhal
Impact in
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- Cardiovascular and exercise physiology
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
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- Muscle metabolism and nutrition 4
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- Exercise and Physiological Responses 3
- Co-authors
- Kirk J. Cureton (5 shared papers)Jennifer L. Trilk (5 shared papers)Nathan T. Jenkins (3 shared papers)Patrick J. O’Connor (1 shared paper)Amy Barr (1 shared paper)William C. Roller (1 shared paper)Qun Zhao (1 shared paper)Maurice J. Arnaud (1 shared paper)
- Journals
- Journal of Applied Physiology (2 papers)Medicine & Science in Sports & Exercise (2 papers)Neurology (1 paper)International Journal of Sport Nutrition and Exercise Metabolism (1 paper)European Journal of Applied Physiology (1 paper)
- Partner nations
- United States
In The Last Decade
Arpit Singhal
8 papers receiving 358 citations
Peers
Comparison fields: 5 of 59
- Complementary and alternative medicine 121
- Rehabilitation 100
- Cell Biology 161
- Orthopedics and Sports Medicine 68
- Pharmacology 97
Countries citing papers authored by Arpit Singhal
This map shows the geographic impact of Arpit Singhal'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 Arpit Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Singhal more than expected).
Fields of papers citing papers by Arpit Singhal
This network shows the impact of papers produced by Arpit Singhal. 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 Arpit Singhal. The network helps show where Arpit Singhal may publish in the future.
Co-authors
The 13 scholars most cited alongside Arpit Singhal, 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 | 2008 | 117 | |
| 2 | 2010 | 97 | |
| 3 | 2009 | 71 | |
| 4 | 1988 | 52 | |
| 5 | 2009 | 32 | |
| 6 | 2016 | 4 | |
| 7 | 2008 | 2 | |
| 8 | 2006 | 1 |
About Arpit Singhal
Arpit Singhal is a scholar working on Cell Biology, Rehabilitation, Physiology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 8 papers that have together received 376 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Exercise and Physiological Responses (3 papers), Adipose Tissue and Metabolism (2 papers), Cardiovascular and exercise physiology (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Complementary and alternative medicine (121 citations), Rehabilitation (100 citations), Cell Biology (161 citations), Orthopedics and Sports Medicine (68 citations) and Pharmacology (97 citations). Arpit Singhal has collaborated with scholars based in United States. Frequent co-authors include Kirk J. Cureton, Jennifer L. Trilk, Nathan T. Jenkins, Patrick J. O’Connor, Amy Barr, William C. Roller, Qun Zhao, Maurice J. Arnaud, Phillip D. Tomporowski and Kevin K. McCully. Their work appears in journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Neurology, International Journal of Sport Nutrition and Exercise Metabolism and European Journal of Applied Physiology.
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.