Deepak Sharma
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
-
- Medicinal Plants and Neuroprotection
Papers in
-
- Neuroscience and Neuropharmacology Research 18
- Co-authors
- Rameshwar Singh (16 shared papers)Pallavi Sethi (6 shared papers)Amar Jyoti (5 shared papers)Baishnab C. Tripathy (1 shared paper)Kiran Bala (1 shared paper)Ejaz Hussain (2 shared papers)N. Baquer (5 shared papers)K. Moorthy (4 shared papers)
- Journals
- Biogerontology (10 papers)Epilepsy Research (3 papers)Epilepsy & Behavior (2 papers)Experimental Gerontology (2 papers)Molecular Biology Reports (2 papers)
- Partner nations
- IndiaUnited StatesArgentina
In The Last Decade
Deepak Sharma
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 213
- Complementary and alternative medicine 214
- Behavioral Neuroscience 74
- Neurology 128
- Biological Psychiatry 36
Countries citing papers authored by Deepak Sharma
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
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-authors
The 25 scholars most cited alongside Deepak Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 140 | |
| 2 | 2008 | 107 | |
| 3 | 2006 | 95 | |
| 4 | 2005 | 80 | |
| 5 | 2008 | 73 | |
| 6 | 2009 | 72 | |
| 7 | 2009 | 62 | |
| 8 | 2008 | 61 | |
| 9 | 2001 | 59 | |
| 10 | 2011 | 52 | |
| 11 | 2008 | 52 | |
| 12 | 2016 | 47 | |
| 13 | 1993 | 34 | |
| 14 | 2004 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2008 | 29 | |
| 17 | 2005 | 23 | |
| 18 | 2004 | 22 | |
| 19 | 2003 | 22 | |
| 20 | 2018 | 21 |
About Deepak Sharma
Deepak Sharma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Physiology and Complementary and alternative medicine, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Curcumin's Biomedical Applications (7 papers), Epilepsy research and treatment (6 papers), Stress Responses and Cortisol (6 papers), Aluminum toxicity and tolerance in plants and animals (6 papers), Biochemical effects in animals (5 papers), Medicinal Plants and Neuroprotection (5 papers) and Pharmacological Effects and Toxicity Studies (5 papers). The work is most often cited by research in Molecular Medicine (213 citations), Complementary and alternative medicine (214 citations), Behavioral Neuroscience (74 citations), Neurology (128 citations) and Biological Psychiatry (36 citations). Deepak Sharma has collaborated with scholars based in India, United States and Argentina. Frequent co-authors include Rameshwar Singh, Pallavi Sethi, Amar Jyoti, Baishnab C. Tripathy, Kiran Bala, Ejaz Hussain, N. Baquer, K. Moorthy, Seemi Farhat Basir and Chandra Prakāsh. Their work appears in journals such as Biogerontology, Epilepsy Research, Epilepsy & Behavior, Experimental Gerontology and Molecular Biology Reports.
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.