Varun Bhave

1.0k total citations
24 papers, 411 citations indexed

About

Varun Bhave is a scholar working on Molecular Biology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Varun Bhave has authored 24 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Varun Bhave's work include Nutritional Studies and Diet (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Diet and metabolism studies (5 papers). Varun Bhave is often cited by papers focused on Nutritional Studies and Diet (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Diet and metabolism studies (5 papers). Varun Bhave collaborates with scholars based in United States, Thailand and Saudi Arabia. Varun Bhave's co-authors include Alexander R. Nectow, Hong Hur, Jonathan W. Pillow, Malavika Murugan, Joshua P Taliaferro, Hee Jae Jang, Nathan F. Parker, Julia Cox, Michelle Park and Ilana B. Witten and has published in prestigious journals such as Cell, Neurology and Trends in Neurosciences.

In The Last Decade

Varun Bhave

21 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Varun Bhave United States 8 175 120 114 113 62 24 411
Miguel Skirzewski United States 11 126 0.7× 243 2.0× 38 0.3× 168 1.5× 82 1.3× 14 529
Kenneth M. McCullough United States 9 180 1.0× 177 1.5× 115 1.0× 89 0.8× 51 0.8× 12 459
Fulian Huang China 12 113 0.6× 121 1.0× 88 0.8× 100 0.9× 40 0.6× 23 491
Daniela Grassi Spain 13 102 0.6× 81 0.7× 102 0.9× 100 0.9× 37 0.6× 31 474
Fernando Jáuregui-Huerta Mexico 12 122 0.7× 95 0.8× 52 0.5× 60 0.5× 32 0.5× 23 448
Qiumin Le China 10 88 0.5× 156 1.3× 55 0.5× 192 1.7× 25 0.4× 25 376
Shannon L. Dean United States 9 80 0.5× 147 1.2× 60 0.5× 103 0.9× 34 0.5× 14 500
Qiong‐Bin Zhu China 10 80 0.5× 38 0.3× 98 0.9× 117 1.0× 65 1.0× 13 425
Rie Ishikawa Japan 12 194 1.1× 190 1.6× 53 0.5× 132 1.2× 47 0.8× 36 542
Leandro B. Lima Brazil 12 117 0.7× 227 1.9× 76 0.7× 124 1.1× 82 1.3× 16 463

Countries citing papers authored by Varun Bhave

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Varun Bhave

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Bhave. A scholar is included among the top collaborators of Varun Bhave based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Varun Bhave. Varun Bhave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kijpaisalratana, Naruchorn, Chia‐Ling Phuah, Zsuzsanna Ament, et al.. (2025). White matter hyperintensity severity modifies gut metabolite association with cognitive outcomes. The Journal of Prevention of Alzheimer s Disease. 12(4). 100086–100086. 1 indexed citations
2.
Chowdhury, Srikanta, et al.. (2025). Brainstem neuropeptidergic neurons link a neurohumoral axis to satiation. Cell. 188(6). 1563–1579.e18. 3 indexed citations
3.
Li, Haobo, Serkan Erdin, Matthew J. Smith, et al.. (2025). Whole-blood transcriptomic analysis reveals preoperative complement inhibitor deficiencies linked to postoperative delirium. Molecular Psychiatry. 30(10). 4690–4699.
4.
Ament, Zsuzsanna, Amit Patki, Naruchorn Kijpaisalratana, et al.. (2024). The Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) Diet and Metabolites in Chronic Kidney Disease. Nutrients. 16(15). 2458–2458. 3 indexed citations
5.
Kijpaisalratana, Naruchorn, Zsuzsanna Ament, Amit Patki, et al.. (2024). Plasma Metabolites and Life’s Simple 7 in REGARDS. Stroke. 55(5). 1191–1199. 2 indexed citations
6.
Bhave, Varun, Carol Oladele, Zsuzsanna Ament, et al.. (2024). Associations Between Ultra-Processed Food Consumption and Adverse Brain Health Outcomes. Neurology. 102(11). e209432–e209432. 17 indexed citations
7.
Ament, Zsuzsanna, Amit Patki, Naruchorn Kijpaisalratana, et al.. (2024). Sex‐Associated Metabolites and Incident Stroke, Incident Coronary Heart Disease, Hypertension, and Chronic Kidney Disease in the REGARDS Cohort. Journal of the American Heart Association. 13(9). e032643–e032643. 6 indexed citations
8.
Ament, Zsuzsanna, Amit Patki, Varun Bhave, et al.. (2024). Omega-3 Fatty Acids and Risk of Ischemic Stroke in REGARDS. Translational Stroke Research. 16(3). 747–756. 4 indexed citations
9.
Kijpaisalratana, Naruchorn, Zsuzsanna Ament, Matthew B. Bevers, et al.. (2023). Trimethylamine N-Oxide and White Matter Hyperintensity Volume Among Patients With Acute Ischemic Stroke. JAMA Network Open. 6(8). e2330446–e2330446. 7 indexed citations
10.
Kijpaisalratana, Naruchorn, Zsuzsanna Ament, Amit Patki, et al.. (2023). Association of Circulating Metabolites With Racial Disparities in Hypertension and Stroke in the REGARDS Study. Neurology. 100(22). e2312–e2320. 11 indexed citations
11.
Schreck, Karisa C., Pinky Langat, Varun Bhave, et al.. (2023). Integrated molecular and clinical analysis of BRAF-mutant glioma in adults. npj Precision Oncology. 7(1). 23–23. 15 indexed citations
12.
Bhave, Varun, et al.. (2023). Delirium and Previous Psychiatric History Independently Predict Poststroke Posttraumatic Stress Disorder. The Neurologist. 28(6). 362–366. 1 indexed citations
13.
Kijpaisalratana, Naruchorn, Zsuzsanna Ament, Amit Patki, et al.. (2023). Acetylglutamine Differentially Associated with First-Time Versus Recurrent Stroke. Translational Stroke Research. 15(5). 941–949. 1 indexed citations
14.
Bhave, Varun, Nayan Lamba, Ayal A. Aizer, & Wenya Linda Bi. (2023). Minimizing Intracranial Disease Before Stereotactic Radiation in Single or Solitary Brain Metastases. Neurosurgery. 93(4). 782–793. 2 indexed citations
15.
Ament, Zsuzsanna, Amit Patki, Varun Bhave, et al.. (2023). Gut microbiota-associated metabolites and risk of ischemic stroke in REGARDS. Journal of Cerebral Blood Flow & Metabolism. 43(7). 1089–1098. 6 indexed citations
16.
Bhave, Varun, et al.. (2022). Complementary Tools in Cerebral Bypass Surgery. World Neurosurgery. 163. 50–59. 1 indexed citations
17.
Driver, Joseph, Samantha E. Hoffman, Sherwin Tavakol, et al.. (2022). A molecularly integrated grade for meningioma. S349–1. 5 indexed citations
18.
Bhave, Varun & Alexander R. Nectow. (2021). The dorsal raphe nucleus in the control of energy balance. Trends in Neurosciences. 44(12). 946–960. 18 indexed citations
19.
Schneeberger, Marc, Tania Das Banerjee, Varun Bhave, et al.. (2019). Regulation of Energy Expenditure by Brainstem GABA Neurons. Cell. 178(3). 672–685.e12. 72 indexed citations
20.
Murugan, Malavika, Hee Jae Jang, Michelle Park, et al.. (2017). Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex. Cell. 171(7). 1663–1677.e16. 214 indexed citations

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.

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