Kaushik Ghosal

613 total citations
9 papers, 512 citations indexed

About

Kaushik Ghosal is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kaushik Ghosal has authored 9 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kaushik Ghosal's work include Alzheimer's disease research and treatments (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Kaushik Ghosal is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Kaushik Ghosal collaborates with scholars based in United States. Kaushik Ghosal's co-authors include Sanjay W. Pimplikar, Yong Shen, Daniel Vogt, Bruce T. Lamb, Michael Haag, Xi Feng, Joel B. Braunstein, Eric C. Holland, Philip B. Verghese and Randall J. Bateman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Experimental Biology.

In The Last Decade

Kaushik Ghosal

9 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaushik Ghosal United States 9 331 227 156 112 82 9 512
Natàlia Crespo‐Biel Spain 11 324 1.0× 256 1.1× 212 1.4× 109 1.0× 27 0.3× 12 607
Céline Héraud France 15 440 1.3× 247 1.1× 243 1.6× 135 1.2× 34 0.4× 24 695
Marco Angelo United Kingdom 6 262 0.8× 265 1.2× 238 1.5× 75 0.7× 72 0.9× 6 602
Dagmar Drexler Germany 8 403 1.2× 201 0.9× 274 1.8× 107 1.0× 29 0.4× 12 659
Mariajose Metcalfe United States 7 186 0.6× 299 1.3× 157 1.0× 56 0.5× 50 0.6× 14 526
Fabrizio Biundo United States 12 234 0.7× 164 0.7× 137 0.9× 65 0.6× 28 0.3× 20 467
George S. Vidal United States 6 218 0.7× 138 0.6× 176 1.1× 48 0.4× 36 0.4× 11 430
Yunn-Chyn Tung United States 8 530 1.6× 395 1.7× 280 1.8× 135 1.2× 133 1.6× 9 835
Karin Müllendorff United States 8 429 1.3× 473 2.1× 244 1.6× 107 1.0× 34 0.4× 8 820
J. Nicholas Cochran United States 12 316 1.0× 291 1.3× 139 0.9× 67 0.6× 27 0.3× 24 617

Countries citing papers authored by Kaushik Ghosal

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Ghosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushik Ghosal

This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Ghosal. A scholar is included among the top collaborators of Kaushik Ghosal 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 Kaushik Ghosal. Kaushik Ghosal 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.
Ghosal, Kaushik, Qingyuan Fan, Hana N. Dawson, & Sanjay W. Pimplikar. (2016). Tau Protein Mediates APP Intracellular Domain (AICD)-Induced Alzheimer’s-Like Pathological Features in Mice. PLoS ONE. 11(7). e0159435–e0159435. 20 indexed citations
2.
Ghosal, Kaushik, Michael Haag, Philip B. Verghese, et al.. (2016). A randomized controlled study to evaluate the effect of bexarotene on amyloid‐β and apolipoprotein E metabolism in healthy subjects. Alzheimer s & Dementia Translational Research & Clinical Interventions. 2(2). 110–120. 60 indexed citations
3.
Pitter, Kenneth L., Ilaria Tamagno, Xi Feng, et al.. (2014). The SHH/Gli pathway is reactivated in reactive glia and drives proliferation in response to neurodegeneration‐induced lesions. Glia. 62(10). 1595–1607. 49 indexed citations
5.
Ghosal, Kaushik, et al.. (2010). APP Intracellular Domain Impairs Adult Neurogenesis in Transgenic Mice by Inducing Neuroinflammation. PLoS ONE. 5(7). e11866–e11866. 90 indexed citations
6.
Ghosal, Kaushik & Sanjay W. Pimplikar. (2010). Aging and excitotoxic stress exacerbate neural circuit reorganization in amyloid precursor protein intracellular domain transgenic mice. Neurobiology of Aging. 32(12). 2320.e1–2320.e9. 21 indexed citations
7.
Ghosal, Kaushik, et al.. (2010). Agonistic behavior and electrical stimulation of the antennae induces Fos‐like protein expression in the male cricket brain. Archives of Insect Biochemistry and Physiology. 74(1). 38–51. 9 indexed citations
8.
Ghosal, Kaushik, et al.. (2009). Alzheimer's disease-like pathological features in transgenic mice expressing the APP intracellular domain. Proceedings of the National Academy of Sciences. 106(43). 18367–18372. 208 indexed citations
9.
Ghosal, Kaushik, et al.. (2009). Agonistic behavior enhances adult neurogenesis in maleAcheta domesticuscrickets. Journal of Experimental Biology. 212(13). 2045–2056. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026