Varun Bhave
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Gut microbiota and health 2
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- Diet and metabolism studies 3
- Adipose Tissue and Metabolism 2
- Co-authors
- Alexander R. Nectow (4 shared papers)Hong Hur (1 shared paper)Jonathan W. Pillow (1 shared paper)Nathan F. Parker (1 shared paper)Hee Jae Jang (1 shared paper)Yupu Liang (1 shared paper)Michelle Park (1 shared paper)Malavika Murugan (1 shared paper)
- Journals
- Cell (3 papers)Neurosurgery (3 papers)Neurology (2 papers)Translational Stroke Research (2 papers)npj Precision Oncology (1 paper)
- Partner nations
- United StatesThailandFrance
In The Last Decade
Varun Bhave
22 papers receiving 424 citations
Peers
Comparison fields: 5 of 67
- Behavioral Neuroscience 38
- Endocrine and Autonomic Systems 62
- Cognitive Neuroscience 173
- Cellular and Molecular Neuroscience 117
- Social Psychology 110
Countries citing papers authored by Varun Bhave
This map shows the geographic impact of Varun Bhave'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 Varun Bhave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Bhave more than expected).
Fields of papers citing papers by Varun Bhave
This network shows the impact of papers produced by Varun Bhave. 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 Varun Bhave. The network helps show where Varun Bhave may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Bhave, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 220 | |
| 2 | 2019 | 72 | |
| 3 | 2022 | 20 | |
| 4 | 2024 | 20 | |
| 5 | 2021 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Varun Bhave
Varun Bhave is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 24 papers that have together received 429 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Circadian rhythm and melatonin (3 papers), Diet and metabolism studies (3 papers), Nutritional Studies and Diet (2 papers), Gut microbiota and health (2 papers), Sleep and Wakefulness Research (2 papers), Consumer Attitudes and Food Labeling (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Behavioral Neuroscience (38 citations), Endocrine and Autonomic Systems (62 citations), Cognitive Neuroscience (173 citations), Cellular and Molecular Neuroscience (117 citations) and Social Psychology (110 citations). Varun Bhave has collaborated with scholars based in United States, Thailand and France. Frequent co-authors include Alexander R. Nectow, Hong Hur, Jonathan W. Pillow, Nathan F. Parker, Hee Jae Jang, Yupu Liang, Michelle Park, Malavika Murugan, Julia Cox and Joshua P Taliaferro. Their work appears in journals such as Cell, Neurosurgery, Neurology, Translational Stroke Research and npj Precision Oncology.
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.