Deepak Sharma

1.8k total citations
56 papers, 1.4k citations indexed

About

Deepak Sharma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, Deepak Sharma has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 11 papers in Plant Science. Recurrent topics in Deepak Sharma's work include Neuroscience and Neuropharmacology Research (19 papers), Curcumin's Biomedical Applications (7 papers) and Epilepsy research and treatment (7 papers). Deepak Sharma is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Curcumin's Biomedical Applications (7 papers) and Epilepsy research and treatment (7 papers). Deepak Sharma collaborates with scholars based in India, United States and Canada. Deepak Sharma's co-authors include Rameshwar Singh, Pallavi Sethi, Amar Jyoti, Kiran Bala, Baishnab C. Tripathy, Ejaz Hussain, N. Baquer, K. Moorthy, Seemi Farhat Basir and Chandra Prakāsh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Ethnopharmacology.

In The Last Decade

Deepak Sharma

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Sharma India 21 338 327 282 277 226 56 1.4k
Yasser A. Khadrawy Egypt 25 251 0.7× 348 1.1× 294 1.0× 221 0.8× 202 0.9× 84 1.7k
Jogender Mehla India 21 331 1.0× 265 0.8× 303 1.1× 164 0.6× 326 1.4× 39 1.3k
Hee Ra Park South Korea 24 512 1.5× 580 1.8× 342 1.2× 142 0.5× 148 0.7× 45 2.1k
Ethika Tyagi India 21 438 1.3× 371 1.1× 217 0.8× 133 0.5× 153 0.7× 32 1.4k
Marcelo Gomes de Gomes Brazil 22 267 0.8× 336 1.0× 204 0.7× 163 0.6× 142 0.6× 50 1.5k
Min‐Sun Kim South Korea 26 441 1.3× 486 1.5× 162 0.6× 116 0.4× 92 0.4× 83 2.0k
Abdulaziz M. Aleisa Saudi Arabia 24 317 0.9× 601 1.8× 283 1.0× 107 0.4× 183 0.8× 34 2.1k
Hyo Young Jung South Korea 21 291 0.9× 477 1.5× 257 0.9× 145 0.5× 182 0.8× 109 1.4k
Dae Young Yoo South Korea 26 499 1.5× 677 2.1× 434 1.5× 212 0.8× 314 1.4× 118 2.1k
C.S. Paulose India 28 422 1.2× 559 1.7× 655 2.3× 188 0.7× 446 2.0× 118 2.3k

Countries citing papers authored by Deepak Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Sharma. A scholar is included among the top collaborators of Deepak 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 Deepak Sharma. Deepak 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
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Prakāsh, Chandra, et al.. (2023). A Comprehensive Review on Anti-Inflammatory Response of Flavonoids in Experimentally-Induced Epileptic Seizures. Brain Sciences. 13(1). 102–102. 16 indexed citations
3.
Sharma, Deepak, et al.. (2021). The effects of Hippophae rhamnoides in neuroprotection and behavioral alterations against iron-induced epilepsy. Epilepsy Research. 175. 106695–106695. 3 indexed citations
4.
Sharma, Deepak, et al.. (2021). Downregulation of CD40L–CD40 attenuates seizure susceptibility and severity of seizures. Scientific Reports. 11(1). 17262–17262. 2 indexed citations
5.
Singh, Rameshwar, et al.. (2020). Fisetin prevents the aging-associated decline in relative spectral power of α, β and linked MUA in the cortex and behavioral alterations. Experimental Gerontology. 138. 111006–111006. 5 indexed citations
6.
Srivastava, Niraj Kumar, Somnath Mukherjee, Raj Kumar Sharma, et al.. (2019). Altered lipid metabolism in post-traumatic epileptic rat model: one proposed pathway. Molecular Biology Reports. 46(2). 1757–1773. 15 indexed citations
7.
Prakāsh, Chandra, et al.. (2019). Dehydroepiandrosterone alleviates oxidative stress and apoptosis in iron-induced epilepsy via activation of Nrf2/ARE signal pathway. Brain Research Bulletin. 153. 181–190. 29 indexed citations
8.
Srivastava, Niraj Kumar, et al.. (2018). Abnormal lipid metabolism in a rat model of arthritis: one possible pathway. Molecular and Cellular Biochemistry. 448(1-2). 107–124. 6 indexed citations
9.
Mukherjee, Somnath, Deepak Sharma, & Kailash C. Upadhyaya. (2016). L1 Retrotransposons Are Transcriptionally Active in Hippocampus of Rat Brain. Prague Medical Report. 117(1). 42–53. 4 indexed citations
10.
Singh, Rameshwar, et al.. (2013). Dehydroepiandrosterone's antiepileptic action in FeCl3-induced epileptogenesis involves upregulation of glutamate transporters. Epilepsy Research. 106(1-2). 83–91. 19 indexed citations
11.
Sharma, Shikha, Debasis Sahu, Hasi R. Das, & Deepak Sharma. (2011). Amelioration of collagen-induced arthritis by Salix nigra bark extract via suppression of pro-inflammatory cytokines and oxidative stress. Food and Chemical Toxicology. 49(12). 3395–3406. 51 indexed citations
12.
Jyoti, Amar, Pallavi Sethi, & Deepak Sharma. (2009). Aging accelerates the progression and manifestation of seizures in post-traumatic model of epilepsy. Neuroscience Letters. 453(2). 86–91. 14 indexed citations
13.
Baquer, Najma Zaheer, Asia Taha, Pardeep Kumar, et al.. (2009). A metabolic and functional overview of brain aging linked to neurological disorders. Biogerontology. 10(4). 377–413. 72 indexed citations
14.
Jyoti, Amar, Pallavi Sethi, & Deepak Sharma. (2008). Curcumin protects against electrobehavioral progression of seizures in the iron-induced experimental model of epileptogenesis. Epilepsy & Behavior. 14(2). 300–308. 73 indexed citations
15.
Kumar, Pardeep, Asia Taha, Deepak Sharma, R.K. Kale, & Najma Zaheer Baquer. (2008). Effect of dehydroepiandrosterone (DHEA) on monoamine oxidase activity, lipid peroxidation and lipofuscin accumulation in aging rat brain regions. Biogerontology. 9(4). 235–246. 28 indexed citations
16.
Jyoti, Amar, Pallavi Sethi, & Deepak Sharma. (2006). Bacopa monniera prevents from aluminium neurotoxicity in the cerebral cortex of rat brain. Journal of Ethnopharmacology. 111(1). 56–62. 94 indexed citations
17.
Moorthy, K., Umesh C. S. Yadav, Mohammad R. Siddiqui, et al.. (2005). Effect of Hormone Replacement Therapy in Normalizing Age Related Neuronal Markers in Different Age Groups of Naturally Menopausal Rats. Biogerontology. 6(5). 345–356. 23 indexed citations
18.
Moorthy, K., Umesh C. S. Yadav, Anil K. Mantha, et al.. (2004). Estradiol and progesterone treatments change the lipid profile in naturally menopausal rats from different age groups. Biogerontology. 5(6). 411–419. 30 indexed citations
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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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