Vijay R. Varma
- Biological Psychiatry top 2%
- Physiology top 2%
- Alzheimer's disease research and treatments 13
- Physical Activity and Health 4
- Neurology top 5%
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 15
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- Metabolomics and Mass Spectrometry Studies 6
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- Computational Drug Discovery Methods 4
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- Balance, Gait, and Falls Prevention 4
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- GDF15 and Related Biomarkers 3
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- Psychological Well-being and Life Satisfaction 3
- Co-authors
- Michelle C. CarlsonMadhav ThambisettySudhir VarmaYang AnJuan C. TroncosoRichard O’BrienCristina Legido‐QuigleyOlga Pletniková
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Vijay R. Varma
43 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Biological Psychiatry 179
- Neuropsychology and Physiological Psychology 82
- Physiology 1.0k
- Neurology 237
- Psychiatry and Mental health 345
Countries citing papers authored by Vijay R. Varma
This map shows the geographic impact of Vijay R. Varma'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 Vijay R. Varma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay R. Varma more than expected).
Fields of papers citing papers by Vijay R. Varma
This network shows the impact of papers produced by Vijay R. Varma. 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 Vijay R. Varma. The network helps show where Vijay R. Varma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijay R. Varma, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 112 | |
| 10 | 2020 | 51 | |
| 11 | 2018 | 344 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 101 | |
| 14 | Evidence for brain glucose dysregulation in Alzheimer's diseasebreakdown → | 2017 | 360 |
| 15 | 2016 | 28 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 67 | |
| 18 | 2014 | 31 | |
| 19 | 2013 | 45 | |
| 20 | 2011 | 21 |
About Vijay R. Varma
Vijay R. Varma is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Physical Therapy, Sports Therapy and Rehabilitation, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (15 papers), Alzheimer's disease research and treatments (13 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Computational Drug Discovery Methods (4 papers), Balance, Gait, and Falls Prevention (4 papers), Physical Activity and Health (4 papers), GDF15 and Related Biomarkers (3 papers) and Psychological Well-being and Life Satisfaction (3 papers). The work is most often cited by research in Biological Psychiatry (179 citations), Neuropsychology and Physiological Psychology (82 citations) and Physiology (1.0k citations). Vijay R. Varma has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Michelle C. Carlson, Madhav Thambisetty, Sudhir Varma, Yang An, Juan C. Troncoso, Richard O’Brien, Cristina Legido‐Quigley, Olga Pletniková, Marilyn Albert and Ramon Casanova. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.
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.