Kunjan R. Dave

6.1k total citations
131 papers, 4.9k citations indexed

About

Kunjan R. Dave is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kunjan R. Dave has authored 131 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 28 papers in Neurology. Recurrent topics in Kunjan R. Dave's work include Neuroscience and Neuropharmacology Research (28 papers), Cardiac Ischemia and Reperfusion (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (23 papers). Kunjan R. Dave is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Cardiac Ischemia and Reperfusion (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (23 papers). Kunjan R. Dave collaborates with scholars based in United States, India and Italy. Kunjan R. Dave's co-authors include Miguel A. Pérez‐Pinzón, Ami P. Raval, Isabel Saul, R. Anthony DeFazio, David Della‐Morte, Surendra S. Katyare, Thomas J. Sick, Deepaneeta Sarmah, Pallab Bhattacharya and Kiran Kalia and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kunjan R. Dave

130 papers receiving 4.9k citations

Peers

Kunjan R. Dave
Tibor Kristián United States
Hwa Kyoung Shin South Korea
Yumin Luo China
Shaun W. Carlson United States
Seong‐Ho Koh South Korea
Tiina M. Kauppinen United States
Tibor Kristián United States
Kunjan R. Dave
Citations per year, relative to Kunjan R. Dave Kunjan R. Dave (= 1×) peers Tibor Kristián

Countries citing papers authored by Kunjan R. Dave

Since Specialization
Citations

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

Fields of papers citing papers by Kunjan R. Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunjan R. Dave. 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 Kunjan R. Dave. The network helps show where Kunjan R. Dave may publish in the future.

Co-authorship network of co-authors of Kunjan R. Dave

This figure shows the co-authorship network connecting the top 25 collaborators of Kunjan R. Dave. A scholar is included among the top collaborators of Kunjan R. Dave 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 Kunjan R. Dave. Kunjan R. Dave 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.
Zhao, Weizhao, et al.. (2023). Post-stroke periodic estrogen receptor-beta agonist improves cognition in aged female rats. Neurochemistry International. 165. 105521–105521. 4 indexed citations
2.
Jackson, Charles W., et al.. (2023). Resveratrol Preconditioning Downregulates PARP1 Protein to Alleviate PARP1-Mediated Cell Death Following Cerebral Ischemia. Translational Stroke Research. 15(1). 165–178. 11 indexed citations
3.
Sarmah, Deepaneeta, Aishika Datta, Ankan Kumar Sarkar, et al.. (2020). Cerebro‐renal interaction and stroke. European Journal of Neuroscience. 53(4). 1279–1299. 15 indexed citations
4.
Jy, Wenche, Ashish K. Rehni, Carlos Bidot, et al.. (2018). Pharmacokinetics of Human Red Blood Cell Microparticles Prepared Using High-Pressure Extrusion Method. Frontiers in Pharmacology. 9. 599–599. 4 indexed citations
5.
Sarmah, Deepaneeta, Harpreet Kaur, Jackson Saraf, et al.. (2018). Trigonelline therapy confers neuroprotection by reduced glutathione mediated myeloperoxidase expression in animal model of ischemic stroke. Life Sciences. 216. 49–58. 57 indexed citations
6.
Sarmah, Deepaneeta, Harpreet Kaur, Jackson Saraf, et al.. (2018). Mitochondrial Dysfunction in Stroke: Implications of Stem Cell Therapy. Translational Stroke Research. 10(2). 121–136. 44 indexed citations
7.
Khoury, Nathalie, Jing Xu, Charles W. Jackson, et al.. (2018). Resveratrol Preconditioning Induces Genomic and Metabolic Adaptations within the Long-Term Window of Cerebral Ischemic Tolerance Leading to Bioenergetic Efficiency. Molecular Neurobiology. 56(6). 4549–4565. 33 indexed citations
8.
Sarmah, Deepaneeta, Harpreet Kaur, Jackson Saraf, et al.. (2017). Getting Closer to an Effective Intervention of Ischemic Stroke: The Big Promise of Stem Cell. Translational Stroke Research. 9(4). 356–374. 48 indexed citations
9.
Rehni, Ashish K., et al.. (2017). Diabetic aggravation of stroke and animal models. Experimental Neurology. 292. 63–79. 18 indexed citations
10.
Narayanan, Srinivasan, et al.. (2015). Resveratrol Preconditioning Protects Against Cerebral Ischemic Injury via Nuclear Erythroid 2–Related Factor 2. Stroke. 46(6). 1626–1632. 110 indexed citations
11.
Thompson, John W., Kunjan R. Dave, Isabel Saul, Srinivasan Narayanan, & Miguel A. Pérez‐Pinzón. (2013). Epsilon PKC Increases Brain Mitochondrial SIRT1 Protein Levels via Heat Shock Protein 90 following Ischemic Preconditioning in Rats. PLoS ONE. 8(9). e75753–e75753. 29 indexed citations
12.
Dave, Kunjan R., David Della‐Morte, Isabel Saul, Ricardo Prado, & Miguel A. Pérez‐Pinzón. (2013). Ventricular Fibrillation-Induced Cardiac Arrest in the Rat as a Model of Global Cerebral Ischemia. Translational Stroke Research. 4(5). 571–578. 14 indexed citations
13.
Dave, Kunjan R., Antonello Pileggi, & Ami P. Raval. (2011). Recurrent hypoglycemia increases oxygen glucose deprivation-induced damage in hippocampal organotypic slices. Neuroscience Letters. 496(1). 25–29. 11 indexed citations
14.
Raval, Ami P., Isabel Saul, Kunjan R. Dave, et al.. (2009). Pretreatment with a single estradiol-17β bolus activates cyclic-AMP response element binding protein and protects CA1 neurons against global cerebral ischemia. Neuroscience. 160(2). 307–318. 47 indexed citations
15.
Della‐Morte, David, Kunjan R. Dave, R. Anthony DeFazio, et al.. (2009). Resveratrol pretreatment protects rat brain from cerebral ischemic damage via a sirtuin 1–uncoupling protein 2 pathway. Neuroscience. 159(3). 993–1002. 320 indexed citations
16.
Dave, Kunjan R., R. Anthony DeFazio, Ami P. Raval, et al.. (2008). Ischemic Preconditioning Targets the Respiration of Synaptic Mitochondria via Protein Kinase Cε. Journal of Neuroscience. 28(16). 4172–4182. 101 indexed citations
17.
Dave, Kunjan R., Christian Lange‐Asschenfeldt, Ami P. Raval, et al.. (2005). Ischemic preconditioning ameliorates excitotoxicity by shifting glutamate/γ‐aminobutyric acid release and biosynthesis. Journal of Neuroscience Research. 82(5). 665–673. 86 indexed citations
18.
Dave, Kunjan R., Walter G. Bradley, & Miguel A. Pérez‐Pinzón. (2003). Early mitochondrial dysfunction occurs in motor cortex and spinal cord at the onset of disease in the Wobbler mouse. Experimental Neurology. 182(2). 412–420. 27 indexed citations
19.
Dave, Kunjan R., et al.. (2000). Effect of catecholamine depletion on oxidative energy metabolism in rat liver, brain and heart mitochondria; use of reserpine. Comparative Biochemistry and Physiology Part C Pharmacology Toxicology and Endocrinology. 127(1). 79–90. 20 indexed citations
20.
Dave, Kunjan R., et al.. (1999). Effect of aluminium-induced Alzheimer like condition on oxidative energy metabolism in rat liver, brain and heart mitochondria. Mechanisms of Ageing and Development. 112(1). 27–42. 67 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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