Souvik Naskar

638 total citations
19 papers, 401 citations indexed

About

Souvik Naskar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Souvik Naskar has authored 19 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Souvik Naskar's work include Neurobiology and Insect Physiology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Advanced battery technologies research (3 papers). Souvik Naskar is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Memory and Neural Mechanisms (3 papers) and Advanced battery technologies research (3 papers). Souvik Naskar collaborates with scholars based in United Kingdom, India and United States. Souvik Naskar's co-authors include György Kemenes, Harry H. Low, Michael Höhl, Ildikó Kemenes, Zsolt Pirger, Huimin Wan, Michael O’Shea, Guy P. Richardson, Richard J. Goodyear and Mary Ann Cheatham and has published in prestigious journals such as Cell, Nature Communications and Journal of Neuroscience.

In The Last Decade

Souvik Naskar

19 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Souvik Naskar United Kingdom 11 160 84 79 65 51 19 401
Elvis Huarcaya Najarro United States 8 265 1.7× 59 0.7× 41 0.5× 158 2.4× 55 1.1× 8 484
Judith D. Speck United States 13 364 2.3× 153 1.8× 29 0.4× 180 2.8× 50 1.0× 14 679
Irina Calin‐Jageman United States 14 511 3.2× 272 3.2× 59 0.7× 224 3.4× 54 1.1× 25 730
Yu Qi China 17 537 3.4× 75 0.9× 21 0.3× 70 1.1× 28 0.5× 62 856
Wenbo Zeng China 16 258 1.6× 140 1.7× 111 1.4× 44 0.7× 72 1.4× 61 829
Björn Ekesten Sweden 18 486 3.0× 223 2.7× 62 0.8× 66 1.0× 170 3.3× 44 868
Jung‐Bum Shin United States 11 275 1.7× 129 1.5× 69 0.9× 286 4.4× 34 0.7× 15 612
Sony Shrestha South Korea 15 240 1.5× 263 3.1× 30 0.4× 16 0.2× 13 0.3× 30 753
Xue Z. Liu United States 14 429 2.7× 33 0.4× 144 1.8× 405 6.2× 120 2.4× 25 800
Brian Steffy United States 12 499 3.1× 31 0.4× 34 0.4× 106 1.6× 53 1.0× 14 957

Countries citing papers authored by Souvik Naskar

Since Specialization
Citations

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

Fields of papers citing papers by Souvik Naskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souvik Naskar

This figure shows the co-authorship network connecting the top 25 collaborators of Souvik Naskar. A scholar is included among the top collaborators of Souvik Naskar 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 Souvik Naskar. Souvik Naskar 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.
Naskar, Souvik, et al.. (2025). BiVO 4 /V 2 O 5 heterostructures for durable and highly reversible calcium- and zinc-ion batteries. Sustainable Energy & Fuels. 9(14). 3954–3970. 1 indexed citations
2.
Naskar, Souvik, et al.. (2025). Dopant-ion stabilizes Ca2+ ion intercalation mechanism in a Ni:V6O13 based Ca-ion battery. Journal of Energy Storage. 115. 116043–116043. 2 indexed citations
3.
Naskar, Souvik, et al.. (2025). Ion Conducting and Hole Transporting Ta2O5 Coupled with MoO3 and Photoactive BiOI Microflowers in a Durable Photoelectrochromic Device. ACS Applied Energy Materials. 8(2). 778–789. 2 indexed citations
4.
Naskar, Souvik, et al.. (2024). Mechanism for Vipp1 spiral formation, ring biogenesis, and membrane repair. Nature Structural & Molecular Biology. 32(3). 571–584. 8 indexed citations
5.
Naskar, Souvik, et al.. (2023). Zinc hexacyanoferrate polyhedra coating at separator for a long-lasting LiV3O8 nanorods-based Zn-ion battery. Journal of Physics and Chemistry of Solids. 181. 111558–111558. 5 indexed citations
6.
Liu, Jiwei, Diorge P. Souza, Souvik Naskar, et al.. (2021). Bacterial Vipp1 and PspA are members of the ancient ESCRT-III membrane-remodeling superfamily. Cell. 184(14). 3660–3673.e18. 69 indexed citations
7.
Pirger, Zsolt, Souvik Naskar, Michael Crossley, et al.. (2021). Interneuronal mechanisms for learning-induced switch in a sensory response that anticipates changes in behavioral outcomes. Current Biology. 31(8). 1754–1761.e3. 7 indexed citations
8.
Bruce, Kevin E., et al.. (2021). The Pneumococcal Divisome: Dynamic Control of Streptococcus pneumoniae Cell Division. Frontiers in Microbiology. 12. 737396–737396. 26 indexed citations
9.
Naskar, Souvik, et al.. (2020). The structure and mechanism of the bacterial type II secretion system. Molecular Microbiology. 115(3). 412–424. 72 indexed citations
10.
Goodyear, Richard J., Mary Ann Cheatham, Souvik Naskar, et al.. (2019). Accelerated Age-Related Degradation of the Tectorial Membrane in the Ceacam16βgal/βgal Null Mutant Mouse, a Model for Late-Onset Human Hereditary Deafness DFNB113. Frontiers in Molecular Neuroscience. 12. 147–147. 11 indexed citations
11.
Crossley, Michael, Souvik Naskar, Michael O’Shea, et al.. (2019). Proactive and retroactive interference with associative memory consolidation in the snail Lymnaea is time and circuit dependent. Communications Biology. 2(1). 242–242. 17 indexed citations
12.
Korneev, Sergei A., Dimitris Vavoulis, Souvik Naskar, et al.. (2018). A CREB2-targeting microRNA is required for long-term memory after single-trial learning. Scientific Reports. 8(1). 3950–3950. 27 indexed citations
13.
Korneev, Sergei A., et al.. (2015). A novel long non-coding natural antisense RNA is a negative regulator of Nos1 gene expression. Scientific Reports. 5(1). 11815–11815. 4 indexed citations
14.
Pirger, Zsolt, et al.. (2014). Reversal of Age-Related Learning Deficiency by the Vertebrate PACAP and IGF-1 in a Novel Invertebrate Model of Aging: The Pond Snail (Lymnaea stagnalis). The Journals of Gerontology Series A. 69(11). 1331–1338. 29 indexed citations
15.
Naskar, Souvik, Huimin Wan, & György Kemenes. (2014). pT305-CaMKII stabilizes a learning-induced increase in AMPA receptors for ongoing memory consolidation after classical conditioning. Nature Communications. 5(1). 3967–3967. 16 indexed citations
16.
Cheatham, Mary Ann, Richard J. Goodyear, Kazuaki Homma, et al.. (2014). Loss of the Tectorial Membrane Protein CEACAM16 Enhances Spontaneous, Stimulus-Frequency, and Transiently Evoked Otoacoustic Emissions. Journal of Neuroscience. 34(31). 10325–10338. 54 indexed citations
17.
Pirger, Zsolt, Michael Crossley, Souvik Naskar, et al.. (2014). Interneuronal Mechanism for Tinbergen’s Hierarchical Model of Behavioral Choice. Current Biology. 24(17). 2018–2024. 23 indexed citations
18.
Pirger, Zsolt, Michael Crossley, Souvik Naskar, et al.. (2014). Interneuronal Mechanism for Tinbergen’s Hierarchical Model of Behavioral Choice. Current Biology. 24(18). 2215–2215. 10 indexed citations
19.

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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