Vipan K. Parihar

3.9k total citations
67 papers, 3.1k citations indexed

About

Vipan K. Parihar is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vipan K. Parihar has authored 67 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Developmental Neuroscience and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vipan K. Parihar's work include Anesthesia and Neurotoxicity Research (12 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Vipan K. Parihar is often cited by papers focused on Anesthesia and Neurotoxicity Research (12 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Vipan K. Parihar collaborates with scholars based in India, United States and Hungary. Vipan K. Parihar's co-authors include Charles L. Limoli, Munjal M. Acharya, Ashok K. Shetty, Bing Shuai, Bharathi Hattiangady, Katherine Tran, Barrett D. Allen, Erich Giedzinski, Vahan Martirosian and Janet E. Baulch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vipan K. Parihar

61 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vipan K. Parihar India 29 970 793 720 603 452 67 3.1k
Marco Sifringer Germany 37 760 0.8× 1.0k 1.3× 1.4k 1.9× 258 0.4× 399 0.9× 73 4.6k
Ya Ke Hong Kong 43 340 0.4× 155 0.2× 1.3k 1.8× 904 1.5× 736 1.6× 133 5.3k
Feng Ru Tang Singapore 28 201 0.2× 257 0.3× 818 1.1× 216 0.4× 215 0.5× 85 2.1k
Ülkan Kılıç Türkiye 36 149 0.2× 517 0.7× 1.5k 2.1× 715 1.2× 979 2.2× 101 4.3k
Benjamin Drukarch Netherlands 43 546 0.6× 229 0.3× 1.9k 2.6× 809 1.3× 1.1k 2.5× 143 5.4k
Henry M. Bartkowski United States 20 205 0.2× 376 0.5× 1.2k 1.7× 435 0.7× 1.7k 3.8× 32 4.9k
Balázs Volk Hungary 36 170 0.2× 206 0.3× 1.4k 1.9× 819 1.4× 584 1.3× 239 4.3k
Walter Balduini Italy 31 375 0.4× 307 0.4× 1.1k 1.6× 343 0.6× 439 1.0× 100 3.4k
B. H. J. Juurlink Canada 33 135 0.1× 622 0.8× 1.7k 2.3× 706 1.2× 744 1.6× 95 4.2k
Francesca Bosetti United States 39 273 0.3× 250 0.3× 1.5k 2.1× 1.2k 1.9× 1.4k 3.0× 68 4.9k

Countries citing papers authored by Vipan K. Parihar

Since Specialization
Citations

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

Fields of papers citing papers by Vipan K. Parihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vipan K. Parihar. 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 Vipan K. Parihar. The network helps show where Vipan K. Parihar may publish in the future.

Co-authorship network of co-authors of Vipan K. Parihar

This figure shows the co-authorship network connecting the top 25 collaborators of Vipan K. Parihar. A scholar is included among the top collaborators of Vipan K. Parihar 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 Vipan K. Parihar. Vipan K. Parihar 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.
Parihar, Vipan K., et al.. (2025). Amelioration of Arsenic Toxicity Using Phytoconstituents: Experimental Evidence, Mechanisms, and Strategies. Reviews of Environmental Contamination and Toxicology. 263(1).
3.
Singh, Shubhankar Kumar, et al.. (2025). Potentiation of endocannabinoid signaling alleviates depressive-like behavior in diabetic mice. 3. 100037–100037. 1 indexed citations
4.
Gajbhiye, Rahul L., Krishna Murti, Ramalingam Peraman, et al.. (2025). Dehydrozingerone Improves Mood and Memory in Diabetic Mice via Modulating Core Neuroimmune Genes and Their Associated Proteins. ACS Pharmacology & Translational Science. 8(6). 1694–1710.
5.
Singh, Nivedita, et al.. (2025). Dehydrozingerone ameliorates renal structure compromised in diabetic nephropathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(6). 167894–167894.
7.
Ravichandiran, V., et al.. (2024). Overcoming biological barriers: Precision engineered extracellular vesicles for personalized neuromedicine. 1(2). 100010–100010. 6 indexed citations
8.
Swain, Sharada Prasanna, et al.. (2024). Exploring SK/S1P/S1PR pathway as a target for antiviral drug development. SHILAP Revista de lepidopterología. 11. 100177–100177.
9.
Parihar, Vipan K., et al.. (2024). Neuroprotective Action of Selected Natural Drugs Against Neurological Diseases and Mental Disorders: Potential Use Against Radiation Damage. Neurochemical Research. 49(9). 2336–2351. 5 indexed citations
10.
Mehdi, Seema, et al.. (2022). Mitochondria–lysosome crosstalk in GBA1-associated Parkinson’s disease. 3 Biotech. 12(9). 230–230. 5 indexed citations
11.
Mehta, Meenu, Keshav Raj Paudel, Shakti D. Shukla, et al.. (2021). Recent trends of NFκB decoy oligodeoxynucleotide-based nanotherapeutics in lung diseases. Journal of Controlled Release. 337. 629–644. 28 indexed citations
13.
Lee, Sang-Hun, Barna Dudok, Vipan K. Parihar, et al.. (2016). Neurophysiology of space travel: energetic solar particles cause cell type-specific plasticity of neurotransmission. Brain Structure and Function. 222(5). 2345–2357. 44 indexed citations
14.
Parihar, Vipan K., Barrett D. Allen, Katherine Tran, et al.. (2016). Cosmic radiation exposure and persistent cognitive dysfunction. Scientific Reports. 6(1). 34774–34774. 163 indexed citations
15.
Acharya, Munjal M., Vahan Martirosian, Nicole N. Chmielewski, et al.. (2015). Stem Cell Transplantation Reverses Chemotherapy-Induced Cognitive Dysfunction. Cancer Research. 75(4). 676–686. 70 indexed citations
16.
Parihar, Vipan K., Bharathi Hattiangady, Bing Shuai, & Ashok K. Shetty. (2013). Mood and Memory Deficits in a Model of Gulf War Illness Are Linked with Reduced Neurogenesis, Partial Neuron Loss, and Mild Inflammation in the Hippocampus. Neuropsychopharmacology. 38(12). 2348–2362. 147 indexed citations
17.
Veerapur, Veeresh Prabhakar, K Prabhakar, Vipan K. Parihar, et al.. (2010). Antidiabetic, hypolipidaemic and antioxidant activity of Dodonaea viscosa aerial parts in streptozotocin-induced diabetic rats. International Journal of Phytomedicine. 2(1). 59–70. 20 indexed citations
18.
Manjula, Santhepete Nanjundaiah, Vipan K. Parihar, Pawan G. Nayak, et al.. (2010). Antitumor and antioxidant activity ofPolyalthia longifoliastem bark ethanol extract. Pharmaceutical Biology. 48(6). 690–696. 21 indexed citations
19.
Parihar, Vipan K., et al.. (2007). Free radical scavenging and radioprotective activity of dehydrozingerone against whole body gamma irradiation in Swiss albino mice. Chemico-Biological Interactions. 170(1). 49–58. 50 indexed citations
20.
Veerapur, Veeresh Prabhakar, K Prabhakar, Vipan K. Parihar, et al.. (2007). Ficus racemosa Stem Bark Extract: A Potent Antioxidant and a Probable Natural Radioprotector. Evidence-based Complementary and Alternative Medicine. 6(3). 317–324. 85 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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