Varun Rawat

551 total citations
9 papers, 379 citations indexed

About

Varun Rawat is a scholar working on Molecular Biology, Surgery and Nutrition and Dietetics. According to data from OpenAlex, Varun Rawat has authored 9 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Nutrition and Dietetics. Recurrent topics in Varun Rawat's work include Eicosanoids and Hypertension Pharmacology (3 papers), Fatty Acid Research and Health (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Varun Rawat is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (3 papers), Fatty Acid Research and Health (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Varun Rawat collaborates with scholars based in United States, Russia and Canada. Varun Rawat's co-authors include Hussein N. Yassine, Helena C. Chui, Santosh R. D’Mello, Michael G. Harrington, Jan O. Johansson, Farah Bardai, Jian Sima, Chongren Tang, Chi Ma and Somasish Ghosh Dastidar and has published in prestigious journals such as Journal of Neuroscience, Biomedicine & Pharmacotherapy and JAMA Neurology.

In The Last Decade

Varun Rawat

9 papers receiving 372 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 Rawat United States 8 162 146 95 81 61 9 379
Nobuyuki Sakayori Japan 13 212 1.3× 59 0.4× 142 1.5× 37 0.5× 28 0.5× 23 460
Brandon C. Farmer United States 8 249 1.5× 220 1.5× 35 0.4× 52 0.6× 19 0.3× 9 491
Svetlana Nikolaeva Russia 10 206 1.3× 218 1.5× 67 0.7× 25 0.3× 37 0.6× 27 659
Marie‐Christine Escanyé France 7 150 0.9× 192 1.3× 89 0.9× 58 0.7× 11 0.2× 9 393
Sheila C. Victório Brazil 10 90 0.6× 175 1.2× 37 0.4× 32 0.4× 19 0.3× 10 387
Bjoern Bauer United States 10 181 1.1× 142 1.0× 50 0.5× 25 0.3× 24 0.4× 16 532
Yoshiharu Akitake Japan 13 83 0.5× 85 0.6× 47 0.5× 46 0.6× 19 0.3× 16 421
Yingshen Lu China 4 183 1.1× 122 0.8× 56 0.6× 37 0.5× 43 0.7× 8 313
Jennifer M. Rojas United States 12 257 1.6× 194 1.3× 20 0.2× 112 1.4× 33 0.5× 15 527
A. Larnaout Tunisia 12 244 1.5× 48 0.3× 59 0.6× 33 0.4× 49 0.8× 26 528

Countries citing papers authored by Varun Rawat

Since Specialization
Citations

This map shows the geographic impact of Varun Rawat'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 Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Rawat more than expected).

Fields of papers citing papers by Varun Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Varun Rawat. 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 Rawat. The network helps show where Varun Rawat may publish in the future.

Co-authorship network of co-authors of Varun Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Rawat. A scholar is included among the top collaborators of Varun Rawat 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 Rawat. Varun Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rawat, Varun, et al.. (2023). Novel NADPH Oxidase-2 Inhibitors as Potential Anti-Inflammatory and Neuroprotective Agents. Antioxidants. 12(9). 1660–1660. 7 indexed citations
2.
Rawat, Varun, Avijit Banik, Asheebo Rojas, et al.. (2022). Pharmacological antagonism of EP2 receptor does not modify basal cardiovascular and respiratory function, blood cell counts, and bone morphology in animal models. Biomedicine & Pharmacotherapy. 147. 112646–112646. 6 indexed citations
3.
Rawat, Varun, Clifford L. Eastman, Avijit Banik, et al.. (2022). Temporal Expression of Neuroinflammatory and Oxidative Stress Markers and Prostaglandin E2 Receptor EP2 Antagonist Effect in a Rat Model of Epileptogenesis. ACS Pharmacology & Translational Science. 6(1). 128–138. 10 indexed citations
4.
Rawat, Varun, Shaowei Wang, Jian Sima, et al.. (2019). ApoE4 Alters ABCA1 Membrane Trafficking in Astrocytes. Journal of Neuroscience. 39(48). 9611–9622. 105 indexed citations
5.
Yassine, Hussein N., Étienne Croteau, Varun Rawat, et al.. (2017). DHA brain uptake and APOE4 status: a PET study with [1-11C]-DHA. Alzheimer s Research & Therapy. 9(1). 23–23. 50 indexed citations
6.
Yassine, Hussein N., Varun Rawat, Wendy J. Mack, et al.. (2016). The effect of APOE genotype on the delivery of DHA to cerebrospinal fluid in Alzheimer’s disease. Alzheimer s Research & Therapy. 8(1). 25–25. 49 indexed citations
7.
Yassine, Hussein N., Varun Rawat, Katherine Castor, et al.. (2016). Association of Serum Docosahexaenoic Acid With Cerebral Amyloidosis. JAMA Neurology. 73(10). 1208–1208. 66 indexed citations
8.
Rawat, Varun, Warren J. Goux, Marc Piechaczyk, & Santosh R. D’Mello. (2015). c-Fos Protects Neurons Through a Noncanonical Mechanism Involving HDAC3 Interaction: Identification of a 21-Amino Acid Fragment with Neuroprotective Activity. Molecular Neurobiology. 53(2). 1165–1180. 25 indexed citations
9.
Dastidar, Somasish Ghosh, Farah Bardai, Chi Ma, et al.. (2012). Isoform-Specific Toxicity of Mecp2 in Postmitotic Neurons: Suppression of Neurotoxicity by FoxG1. Journal of Neuroscience. 32(8). 2846–2855. 61 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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