Kalipada Pahan

15.1k total citations
215 papers, 12.0k citations indexed

About

Kalipada Pahan is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Kalipada Pahan has authored 215 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 67 papers in Neurology and 61 papers in Physiology. Recurrent topics in Kalipada Pahan's work include Neuroinflammation and Neurodegeneration Mechanisms (64 papers), Peroxisome Proliferator-Activated Receptors (48 papers) and Immune Response and Inflammation (27 papers). Kalipada Pahan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (64 papers), Peroxisome Proliferator-Activated Receptors (48 papers) and Immune Response and Inflammation (27 papers). Kalipada Pahan collaborates with scholars based in United States, India and South Korea. Kalipada Pahan's co-authors include Malabendu Jana, Ramendra N. Saha, Avik Roy, Inderjit Singh, Arundhati Jana, Saurav Brahmachari, Faruk Sheikh, Aryan M. Namboodiri, Yiu K. Fung and Mushfiquddin Khan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kalipada Pahan

212 papers receiving 11.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kalipada Pahan United States 63 4.8k 3.1k 2.9k 2.2k 1.9k 215 12.0k
Kyoungho Suk South Korea 62 4.4k 0.9× 4.1k 1.3× 2.1k 0.7× 2.7k 1.2× 1.5k 0.8× 320 12.5k
Ignacio Lizasoaín Spain 60 3.8k 0.8× 3.6k 1.1× 2.8k 0.9× 2.1k 0.9× 1.9k 1.0× 208 12.4k
Marı́a A. Moro Spain 63 3.9k 0.8× 3.5k 1.1× 2.5k 0.9× 2.1k 0.9× 1.9k 1.0× 202 12.0k
Bin Liu United States 64 6.5k 1.4× 5.7k 1.8× 3.1k 1.1× 2.3k 1.0× 3.3k 1.7× 310 16.7k
Emanuela Esposito Italy 66 5.0k 1.0× 1.5k 0.5× 2.7k 0.9× 1.6k 0.7× 2.4k 1.3× 441 14.9k
Josef Anrather United States 64 5.5k 1.1× 5.9k 1.9× 2.5k 0.9× 3.0k 1.4× 1.2k 0.6× 126 15.4k
Giora Feuerstein United States 62 5.3k 1.1× 3.3k 1.1× 1.8k 0.6× 2.0k 0.9× 2.4k 1.2× 279 14.7k
M. Kerry O’Banion United States 49 3.2k 0.7× 4.5k 1.4× 3.6k 1.2× 1.6k 0.7× 1.6k 0.9× 146 11.8k
Christopher G. Sobey Australia 64 4.7k 1.0× 3.5k 1.1× 3.7k 1.2× 2.9k 1.3× 964 0.5× 232 15.3k
Michael P. Vitek United States 64 6.1k 1.3× 2.7k 0.9× 7.0k 2.4× 1.2k 0.5× 2.7k 1.4× 181 14.5k

Countries citing papers authored by Kalipada Pahan

Since Specialization
Citations

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

Fields of papers citing papers by Kalipada Pahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalipada Pahan

This figure shows the co-authorship network connecting the top 25 collaborators of Kalipada Pahan. A scholar is included among the top collaborators of Kalipada Pahan 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 Kalipada Pahan. Kalipada Pahan 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.
Mondal, Susanta, et al.. (2024). Nebulization of low-dose aspirin ameliorates Huntington’s pathology in N171-82Q transgenic mice. PubMed. 3(1). 47–59. 2 indexed citations
2.
Pahan, Kalipada, et al.. (2024). IL-12p40 Monomer: A Potential Player in Macrophage Regulation. SHILAP Revista de lepidopterología. 4(1). 77–90. 1 indexed citations
3.
Raha, Sumita, Ramesh Kumar Paidi, Debashis Dutta, & Kalipada Pahan. (2024). Cinnamic acid, a natural plant compound, exhibits neuroprotection in a mouse model of Sandhoff disease via PPARα. PubMed. 3(1). 17–32. 2 indexed citations
4.
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Rangasamy, Suresh B., Malabendu Jana, Sridevi Dasarathi, Madhuchhanda Kundu, & Kalipada Pahan. (2023). Treadmill workout activates PPARα in the hippocampus to upregulate ADAM10, decrease plaques and improve cognitive functions in 5XFAD mouse model of Alzheimer’s disease. Brain Behavior and Immunity. 109. 204–218. 5 indexed citations
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8.
Rangasamy, Suresh B., et al.. (2022). Protection of dopaminergic neurons in hemiparkinsonian monkeys by flavouring ingredient glyceryl tribenzoate. PubMed. 1(1). 7–22. 3 indexed citations
9.
Chakrabarti, Sudipta, et al.. (2019). Aspirin up‐regulates suppressor of cytokine signaling 3 in glial cells via PPARα. Journal of Neurochemistry. 151(1). 50–63. 10 indexed citations
10.
Pahan, Kalipada, et al.. (2019). Mode of Action of Aspirin in Experimental Autoimmune Encephalomyelitis. DNA and Cell Biology. 38(7). 593–596. 15 indexed citations
11.
Patel, Dhruv, Avik Roy, Madhuchhanda Kundu, et al.. (2018). Aspirin binds to PPARα to stimulate hippocampal plasticity and protect memory. Proceedings of the National Academy of Sciences. 115(31). E7408–E7417. 68 indexed citations
12.
Mondal, Susanta, Suresh B. Rangasamy, Supurna Ghosh, Richard Watson, & Kalipada Pahan. (2017). Nebulization of RNS60, a Physically-Modified Saline, Attenuates the Adoptive Transfer of Experimental Allergic Encephalomyelitis in Mice: Implications for Multiple Sclerosis Therapy. Neurochemical Research. 42(5). 1555–1570. 12 indexed citations
13.
Modi, Khushbu K., Suresh B. Rangasamy, Sridevi Dasarathi, Avik Roy, & Kalipada Pahan. (2016). Cinnamon Converts Poor Learning Mice to Good Learners: Implications for Memory Improvement. Journal of Neuroimmune Pharmacology. 11(4). 693–707. 17 indexed citations
14.
Mondal, Susanta & Kalipada Pahan. (2015). Cinnamon Ameliorates Experimental Allergic Encephalomyelitis in Mice via Regulatory T Cells: Implications for Multiple Sclerosis Therapy. PLoS ONE. 10(1). e0116566–e0116566. 45 indexed citations
15.
Roy, Avik, Anamitra Ghosh, Arundhati Jana, et al.. (2012). Sodium Phenylbutyrate Controls Neuroinflammatory and Antioxidant Activities and Protects Dopaminergic Neurons in Mouse Models of Parkinson’s Disease. PLoS ONE. 7(6). e38113–e38113. 113 indexed citations
16.
Dasgupta, Subhajit, et al.. (2008). Generation of Functional Blocking Monoclonal Antibodies Against Mouse Interleukin-12 p40 Homodimer and Monomer. Hybridoma. 27(3). 141–151. 9 indexed citations
17.
Jana, Malabendu & Kalipada Pahan. (2005). Redox regulation of cytokine-mediated inhibition of myelin gene expression in human primary oligodendrocytes. Free Radical Biology and Medicine. 39(6). 823–831. 54 indexed citations
18.
Dasgupta, Subhajit, Malabendu Jana, You Zhou, et al.. (2004). Antineuroinflammatory Effect of NF-κB Essential Modifier-Binding Domain Peptides in the Adoptive Transfer Model of Experimental Allergic Encephalomyelitis. The Journal of Immunology. 173(2). 1344–1354. 108 indexed citations
19.
Dasgupta, Subhajit, You Zhou, Malabendu Jana, Naren L. Banik, & Kalipada Pahan. (2003). Sodium Phenylacetate Inhibits Adoptive Transfer of Experimental Allergic Encephalomyelitis in SJL/J Mice at Multiple Steps. The Journal of Immunology. 170(7). 3874–3882. 70 indexed citations
20.
Dasgupta, Subhajit, Malabendu Jana, Xiaojuan Liu, & Kalipada Pahan. (2002). Myelin Basic Protein-primed T Cells Induce Nitric Oxide Synthase in Microglial Cells. Journal of Biological Chemistry. 277(42). 39327–39333. 46 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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