Sriparna Mukherjee

879 total citations
19 papers, 580 citations indexed

About

Sriparna Mukherjee is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Sriparna Mukherjee has authored 19 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 8 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Sriparna Mukherjee's work include Mosquito-borne diseases and control (12 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). Sriparna Mukherjee is often cited by papers focused on Mosquito-borne diseases and control (12 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). Sriparna Mukherjee collaborates with scholars based in India, Canada and United States. Sriparna Mukherjee's co-authors include Anirban Basu, Sudhanshu Vrati, Anita Mahadevan, Minu Nain, James C. Paton, Malik Zainul Abdin, Adrienne W. Paton, Manjula Kalia, Susarla Krishna Shankar and Arindam Bhattacharyya and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Sriparna Mukherjee

18 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sriparna Mukherjee India 13 194 192 191 138 88 19 580
Laura Saucedo-Cuevas United States 12 225 1.2× 339 1.8× 335 1.8× 77 0.6× 38 0.4× 17 744
Dirk Janik Germany 14 90 0.5× 56 0.3× 218 1.1× 40 0.3× 97 1.1× 15 668
Kristin L. Patrick United States 16 106 0.5× 59 0.3× 546 2.9× 261 1.9× 34 0.4× 31 875
Kiran Kundu India 14 105 0.5× 128 0.7× 156 0.8× 183 1.3× 17 0.2× 19 497
Daniella M. Mizurini Brazil 16 73 0.4× 104 0.5× 282 1.5× 410 3.0× 58 0.7× 22 842
Stefan Kastner Germany 6 215 1.1× 316 1.6× 134 0.7× 57 0.4× 15 0.2× 8 636
Jean-Noël Billaud United States 17 119 0.6× 38 0.2× 259 1.4× 102 0.7× 60 0.7× 34 684
Yingyu Mao China 14 51 0.3× 44 0.2× 314 1.6× 126 0.9× 41 0.5× 27 603
Dinesh Kabra India 10 129 0.7× 146 0.8× 82 0.4× 58 0.4× 21 0.2× 12 395
Cecília J. G. de Almeida Brazil 9 67 0.3× 122 0.6× 200 1.0× 109 0.8× 12 0.1× 10 498

Countries citing papers authored by Sriparna Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sriparna Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sriparna Mukherjee

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

All Works

19 of 19 papers shown
1.
Mukherjee, Sriparna, et al.. (2025). PARP-16 regulates the PERK and IRE-1α Mediated Unfolded Protein Response in Japanese Encephalitis Virus–Infected Neural Stem/Progenitor Cells. Molecular Neurobiology. 62(6). 8084–8096. 1 indexed citations
2.
Mukherjee, Sriparna, Alexis Allot, Adam MacDonald, et al.. (2024). Characterizing enteric neurons in dopamine transporter (DAT)‐Cre reporter mice reveals dopaminergic subtypes with dual‐transmitter content. European Journal of Neuroscience. 59(10). 2465–2482.
3.
Ducrot, Charles, Sriparna Mukherjee, Nicolas Giguère, et al.. (2023). Synaptotagmin-1-dependent phasic axonal dopamine release is dispensable for basic motor behaviors in mice. Nature Communications. 14(1). 4120–4120. 16 indexed citations
4.
Ducrot, Charles, Consiglia Pacelli, Sriparna Mukherjee, et al.. (2023). Conditional deletion of neurexins dysregulates neurotransmission from dopamine neurons. eLife. 12. 3 indexed citations
6.
Mukherjee, Sriparna, et al.. (2020). Atorvastatin ameliorates viral burden and neural stem/progenitor cell (NSPC) death in an experimental model of Japanese encephalitis. Journal of Biosciences. 45(1). 15 indexed citations
7.
Hazra, Bibhabasu, et al.. (2019). miR-301a Regulates Inflammatory Response to Japanese Encephalitis Virus Infection via Suppression of NKRF Activity. The Journal of Immunology. 203(8). 2222–2238. 33 indexed citations
9.
Mukherjee, Sriparna, et al.. (2018). Japanese Encephalitis Virus‐induced let‐7a/b interacted with the NOTCHTLR7 pathway in microglia and facilitated neuronal death via caspase activation. Journal of Neurochemistry. 149(4). 518–534. 59 indexed citations
10.
Mukherjee, Sriparna, et al.. (2018). PLVAP and GKN3 Are Two Critical Host Cell Receptors Which Facilitate Japanese Encephalitis Virus Entry Into Neurons. Scientific Reports. 8(1). 11784–11784. 33 indexed citations
11.
Ojha, Amrita, Sriparna Mukherjee, Gowtham K. Annarapu, et al.. (2018). Platelet factor 4 promotes rapid replication and propagation of Dengue and Japanese encephalitis viruses. EBioMedicine. 39. 332–347. 41 indexed citations
12.
Nain, Minu, Sriparna Mukherjee, Adrienne W. Paton, et al.. (2017). GRP78 Is an Important Host Factor for Japanese Encephalitis Virus Entry and Replication in Mammalian Cells. Journal of Virology. 91(6). 118 indexed citations
13.
Mukherjee, Sriparna, Nabonita Sengupta, Mahar Fatima, et al.. (2017). Japanese encephalitis virus induces human neural stem/progenitor cell death by elevating GRP78, PHB and hnRNPC through ER stress. Cell Death and Disease. 8(1). e2556–e2556. 52 indexed citations
14.
Ghosh, Sourish, Sriparna Mukherjee, Nabonita Sengupta, et al.. (2016). Network analysis reveals common host protein/s modulating pathogenesis of neurotropic viruses. Scientific Reports. 6(1). 32593–32593. 13 indexed citations
15.
Ghosh, Sourish, Sriparna Mukherjee, & Anirban Basu. (2015). Chandipura virus perturbs cholesterol homeostasis leading to neuronal apoptosis. Journal of Neurochemistry. 135(2). 368–380. 7 indexed citations
16.
Mukherjee, Sriparna, Sourish Ghosh, Arshed Nazmi, & Anirban Basu. (2014). RIG‐I knockdown impedes neurogenesis in a murine model of Japanese encephalitis. Cell Biology International. 39(2). 224–229. 6 indexed citations
17.
Nazmi, Arshed, Sriparna Mukherjee, Kiran Kundu, et al.. (2014). TLR7 is a key regulator of innate immunity against Japanese encephalitis virus infection. Neurobiology of Disease. 69. 235–247. 45 indexed citations
18.
Osborn, Daniel P. S., Rosa Maria Roccasecca, Fiona McMurray, et al.. (2014). Loss of FTO Antagonises Wnt Signaling and Leads to Developmental Defects Associated with Ciliopathies. PLoS ONE. 9(2). e87662–e87662. 24 indexed citations
19.
Little, Mark A., Lucy Smyth, Alan D. Salama, et al.. (2009). Experimental Autoimmune Vasculitis. American Journal Of Pathology. 174(4). 1212–1220. 91 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