Prasun Guha

3.5k total citations
18 papers, 768 citations indexed

About

Prasun Guha is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Prasun Guha has authored 18 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Prasun Guha's work include Autophagy in Disease and Therapy (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Cannabis and Cannabinoid Research (4 papers). Prasun Guha is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Cannabis and Cannabinoid Research (4 papers). Prasun Guha collaborates with scholars based in United States, India and Norway. Prasun Guha's co-authors include Hafiz Ahmed, Subrata Chattopadhyay, Sandip K. Bandyopadhyay, Dhananjaya V. Kalvakolanu, Solomon H. Snyder, Padmaja Gade, Engin Kaptan, Maged M. Harraz, Gerardo R. Vasta and Anindya Dey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Circulation Research.

In The Last Decade

Prasun Guha

18 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasun Guha United States 14 409 202 100 86 81 18 768
Kyu Hyung Han South Korea 19 505 1.2× 118 0.6× 58 0.6× 64 0.7× 47 0.6× 43 867
Mi Nam Lee South Korea 14 630 1.5× 158 0.8× 187 1.9× 96 1.1× 35 0.4× 24 937
Yi Yi China 15 290 0.7× 104 0.5× 102 1.0× 37 0.4× 111 1.4× 59 758
Wutigri Nimlamool Thailand 18 329 0.8× 107 0.5× 49 0.5× 55 0.6× 61 0.8× 52 833
Sang‐Muk Oh South Korea 17 388 0.9× 98 0.5× 54 0.5× 33 0.4× 89 1.1× 28 658
Mahmoud Shekari Khaniani Iran 15 593 1.4× 108 0.5× 114 1.1× 41 0.5× 121 1.5× 60 1.0k
Shuling Zhang China 18 847 2.1× 142 0.7× 87 0.9× 47 0.5× 134 1.7× 42 1.3k
Ji Geng China 14 377 0.9× 73 0.4× 94 0.9× 43 0.5× 80 1.0× 35 788
Saranyapin Potikanond Thailand 15 315 0.8× 89 0.4× 48 0.5× 37 0.4× 56 0.7× 43 693
Jeung Whan Han South Korea 17 846 2.1× 167 0.8× 47 0.5× 195 2.3× 115 1.4× 35 1.2k

Countries citing papers authored by Prasun Guha

Since Specialization
Citations

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

Fields of papers citing papers by Prasun Guha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasun Guha

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

All Works

18 of 18 papers shown
1.
Patel, Luv, Nguyen H. Tran, Dong Soo Yun, et al.. (2025). Reengineering Endogenous Targeting Lipid Nanoparticles (ENDO) for Systemic Delivery of mRNA to Pancreas. Advanced Materials. 37(40). e2507657–e2507657. 6 indexed citations
2.
Harraz, Maged M., Prasun Guha, Adarsha P. Malla, et al.. (2021). Cocaine-induced locomotor stimulation involves autophagic degradation of the dopamine transporter. Molecular Psychiatry. 26(2). 370–382. 15 indexed citations
3.
Guha, Prasun, Richa Tyagi, Sayan Mullick Chowdhury, et al.. (2019). IPMK Mediates Activation of ULK Signaling and Transcriptional Regulation of Autophagy Linked to Liver Inflammation and Regeneration. Cell Reports. 26(10). 2692–2703.e7. 35 indexed citations
4.
Guha, Prasun & Solomon H. Snyder. (2019). Noncatalytic functions of IPMK are essential for activation of autophagy and liver regeneration. Autophagy. 15(8). 1473–1474. 13 indexed citations
5.
Guha, Prasun, Engin Kaptan, Padmaja Gade, Dhananjaya V. Kalvakolanu, & Hafiz Ahmed. (2017). Tunicamycin induced endoplasmic reticulum stress promotes apoptosis of prostate cancer cells by activating mTORC1. Oncotarget. 8(40). 68191–68207. 82 indexed citations
6.
Fu, Chenglai, Richa Tyagi, Alfred C. Chin, et al.. (2017). Inositol Polyphosphate Multikinase Inhibits Angiogenesis via Inositol Pentakisphosphate-Induced HIF-1α Degradation. Circulation Research. 122(3). 457–472. 22 indexed citations
7.
Guha, Prasun, Maged M. Harraz, & Solomon H. Snyder. (2016). Cocaine elicits autophagic cytotoxicity via a nitric oxide-GAPDH signaling cascade. Proceedings of the National Academy of Sciences. 113(5). 1417–1422. 49 indexed citations
8.
9.
Xu, Risheng, Bindu D. Paul, Dani R. Smith, et al.. (2013). Inositol polyphosphate multikinase is a transcriptional coactivator required for immediate early gene induction. Proceedings of the National Academy of Sciences. 110(40). 16181–16186. 30 indexed citations
10.
Guha, Prasun, Engin Kaptan, Sabina Kaczanowska, et al.. (2013). Cod glycopeptide with picomolar affinity to galectin-3 suppresses T-cell apoptosis and prostate cancer metastasis. Proceedings of the National Academy of Sciences. 110(13). 5052–5057. 83 indexed citations
11.
Vasta, Gerardo R., Hafiz Ahmed, Mihai Niţă‐Lazăr, et al.. (2012). Galectins as self/non-self recognition receptors in innate and adaptive immunity: an unresolved paradox. Frontiers in Immunology. 3. 199–199. 93 indexed citations
12.
Sarmah, Jayanta K., et al.. (2012). IN-VITRO CYTOTOXICITY ANALYSIS OF TAMOXIFEN CITRATE LOADED CROSS-LINKED GUAR GUM NANOPARTICLES ON JURKAT (HUMAN T-CELL LEUKEMIA) CELL LINE. Journal of Drug Delivery and Therapeutics. 2(2). 7 indexed citations
13.
Ahmed, Hafiz, et al.. (2011). Galectin-3: a potential target for cancer prevention.. PubMed. 3(2). 13–22. 9 indexed citations
14.
Guha, Prasun, Anindya Dey, Rupashree Sen, et al.. (2010). Calpain and Caspase Orchestrated Death Signal to Accomplish Apoptosis Induced by Resveratrol and Its Novel Analog Hydroxstilbene-1 in Cancer Cells. Journal of Pharmacology and Experimental Therapeutics. 334(2). 381–394. 24 indexed citations
15.
Guha, Prasun, Anindya Dey, Rupashree Sen, et al.. (2010). Intracellular GSH Depletion Triggered Mitochondrial Bax Translocation to Accomplish Resveratrol-Induced Apoptosis in the U937 Cell Line. Journal of Pharmacology and Experimental Therapeutics. 336(1). 206–214. 89 indexed citations
16.
Guha, Prasun, et al.. (2010). Pro‐ulcer effects of resveratrol in mice with indomethacin‐induced gastric ulcers are reversed by l‐arginine. British Journal of Pharmacology. 159(3). 726–734. 48 indexed citations
17.
Guha, Prasun, et al.. (2009). Biphasic activity of resveratrol on indomethacin-induced gastric ulcers. Biochemical and Biophysical Research Communications. 381(1). 90–95. 62 indexed citations
18.
Guha, Prasun, et al.. (2008). Improved Antiulcer and Anticancer Properties of a trans-Resveratrol Analog in Mice. Journal of Pharmacology and Experimental Therapeutics. 328(3). 829–838. 28 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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