Shaunik Sharma

1.0k total citations
20 papers, 690 citations indexed

About

Shaunik Sharma is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Shaunik Sharma has authored 20 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 8 papers in Psychiatry and Mental health and 4 papers in Molecular Biology. Recurrent topics in Shaunik Sharma's work include Neuroscience and Neuropharmacology Research (14 papers), Epilepsy research and treatment (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Shaunik Sharma is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Epilepsy research and treatment (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Shaunik Sharma collaborates with scholars based in United States, Canada and United Kingdom. Shaunik Sharma's co-authors include Thimmasettappa Thippeswamy, Sreekanth Puttachary, Marson Putra, Anumantha G. Kanthasamy, Alexander G. Bassuk, Steven S. Carlson, Edward Beamer, Vellareddy Anantharam, Saurabh Verma and Yang Yang and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.

In The Last Decade

Shaunik Sharma

18 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaunik Sharma United States 13 360 207 187 114 97 20 690
Shane Rowley United States 12 385 1.1× 360 1.7× 197 1.1× 45 0.4× 72 0.7× 13 778
Chi Zhao-fu China 20 274 0.8× 442 2.1× 115 0.6× 98 0.9× 80 0.8× 45 951
Luiz Fernando Almeida Silva Brazil 15 138 0.4× 250 1.2× 111 0.6× 53 0.5× 70 0.7× 17 648
Chiara Lucchi Italy 14 332 0.9× 184 0.9× 221 1.2× 75 0.7× 76 0.8× 28 595
Kathrin Töllner Germany 21 656 1.8× 317 1.5× 446 2.4× 58 0.5× 229 2.4× 30 940
Martha C. Rivera‐Cervantes Mexico 16 247 0.7× 226 1.1× 51 0.3× 126 1.1× 46 0.5× 24 602
Yifeng Du United States 17 194 0.5× 369 1.8× 100 0.5× 211 1.9× 71 0.7× 22 938
Cameron S. Metcalf United States 19 501 1.4× 242 1.2× 364 1.9× 39 0.3× 149 1.5× 50 852
Fabiano Mendes de Córdova Brazil 13 250 0.7× 219 1.1× 64 0.3× 52 0.5× 19 0.2× 28 720
Tetsade Piermartiri Brazil 13 192 0.5× 210 1.0× 46 0.2× 110 1.0× 27 0.3× 19 576

Countries citing papers authored by Shaunik Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shaunik Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaunik Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shaunik Sharma. A scholar is included among the top collaborators of Shaunik Sharma 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 Shaunik Sharma. Shaunik Sharma 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.
2.
Rodriguez, Saul, Shaunik Sharma, Kyle R. Jackson, et al.. (2024). Neuroprotective effects of naltrexone in a mouse model of post-traumatic seizures. Scientific Reports. 14(1). 13507–13507. 5 indexed citations
3.
Stewart, Robert, Shaunik Sharma, Timothy Wu, et al.. (2024). The role of the master cancer regulator Pin1 in the development and treatment of cancer. Frontiers in Cell and Developmental Biology. 12. 1343938–1343938. 2 indexed citations
4.
Sharma, Shaunik, et al.. (2023). Fast Detection and Quantification of Interictal Spikes and Seizures in a Rodent Model of Epilepsy Using an Automated Algorithm. BIO-PROTOCOL. 13(6). e4632–e4632. 3 indexed citations
5.
Sharma, Shaunik, et al.. (2022). Lacosamide decreases neonatal seizures without increasing apoptosis. Epilepsia. 63(12). 3051–3065. 10 indexed citations
6.
Sun, Young Joo, Gabriel Velez, Kun Li, et al.. (2021). Structure-based phylogeny identifies avoralstat as a TMPRSS2 inhibitor that prevents SARS-CoV-2 infection in mice. Journal of Clinical Investigation. 131(10). 24 indexed citations
7.
Sharma, Shaunik, et al.. (2021). Mechanisms of disease-modifying effect of saracatinib (AZD0530), a Src/Fyn tyrosine kinase inhibitor, in the rat kainate model of temporal lobe epilepsy. Neurobiology of Disease. 156. 105410–105410. 30 indexed citations
8.
Sharma, Shaunik, et al.. (2021). Neuropathophysiological Mechanisms and Treatment Strategies for Post-traumatic Epilepsy. Frontiers in Molecular Neuroscience. 14. 612073–612073. 35 indexed citations
9.
Sturgeon, Morgan, et al.. (2021). The opioid antagonist naltrexone decreases seizure‐like activity in genetic and chemically induced epilepsy models. Epilepsia Open. 6(3). 528–538. 14 indexed citations
10.
Putra, Marson, et al.. (2020). Diapocynin, an NADPH oxidase inhibitor, counteracts diisopropylfluorophosphate‐induced long‐term neurotoxicity in the rat model. Annals of the New York Academy of Sciences. 1479(1). 75–93. 29 indexed citations
11.
Putra, Marson, et al.. (2020). Sex as a biological variable in the rat model of diisopropylfluorophosphate‐induced long‐term neurotoxicity. Annals of the New York Academy of Sciences. 1479(1). 44–64. 25 indexed citations
12.
Putra, Marson, Shaunik Sharma, Sreekanth Puttachary, et al.. (2019). Inducible nitric oxide synthase inhibitor, 1400W, mitigates DFP-induced long-term neurotoxicity in the rat model. Neurobiology of Disease. 133. 104443–104443. 49 indexed citations
13.
Sharma, Shaunik, et al.. (2018). Status Epilepticus: Behavioral and Electroencephalography Seizure Correlates in Kainate Experimental Models. Frontiers in Neurology. 9. 7–7. 64 indexed citations
14.
Sharma, Shaunik, Steven S. Carlson, Sreekanth Puttachary, et al.. (2017). Role of the Fyn-PKCδ signaling in SE-induced neuroinflammation and epileptogenesis in experimental models of temporal lobe epilepsy. Neurobiology of Disease. 110. 102–121. 56 indexed citations
15.
16.
Sharma, Shaunik, Sreekanth Puttachary, & Thimmasettappa Thippeswamy. (2017). Glial source of nitric oxide in epileptogenesis: A target for disease modification in epilepsy. Journal of Neuroscience Research. 97(11). 1363–1377. 32 indexed citations
17.
Puttachary, Sreekanth, Shaunik Sharma, Saurabh Verma, et al.. (2016). 1400W, a highly selective inducible nitric oxide synthase inhibitor is a potential disease modifier in the rat kainate model of temporal lobe epilepsy. Neurobiology of Disease. 93. 184–200. 60 indexed citations
18.
Puttachary, Sreekanth, et al.. (2015). Immediate Epileptogenesis after Kainate-Induced Status Epilepticus in C57BL/6J Mice: Evidence from Long Term Continuous Video-EEG Telemetry. PLoS ONE. 10(7). e0131705–e0131705. 60 indexed citations
19.
Puttachary, Sreekanth, et al.. (2015). Seizure-Induced Oxidative Stress in Temporal Lobe Epilepsy. BioMed Research International. 2015. 1–20. 189 indexed citations
20.
Anderson, Stephen J., Lauren A. Laboissonniere, Matthew Jefferson, et al.. (2014). Salmonella as a biological “Trojan horse” for neoplasia: Future possibilities including brain cancer. Medical Hypotheses. 83(3). 343–345. 3 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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