Sunil Sharma
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities 7
- Pharmacology top 5%
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- Phytochemicals and Medicinal Plants 6
- Radiation top 5%
- Advanced Radiotherapy Techniques 6
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- Natural Antidiabetic Agents Studies 15
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- Synthesis and biological activity 11
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- Essential Oils and Antimicrobial Activity 8
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- Telomeres, Telomerase, and Senescence 6
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- Computational Drug Discovery Methods 5
- Co-authors
- James B. PerianayagamK.K. PillaiVipin SainiNeeru VasudevaEduardo G. MorosRobert J. GriffinMarjan BoermaPeter M. Corry
- Journals
- Indian Journal of Pharmaceutical Education and Research (4 papers)Radiation Research (4 papers)Technology in Cancer Research & Treatment (3 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Sunil Sharma
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Biochemistry 104
- Pharmacology 143
- Complementary and alternative medicine 126
- Radiation 115
- Endocrinology, Diabetes and Metabolism 190
Countries citing papers authored by Sunil Sharma
This map shows the geographic impact of Sunil 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 Sunil Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Sharma more than expected).
Fields of papers citing papers by Sunil Sharma
This network shows the impact of papers produced by Sunil 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 Sunil Sharma. The network helps show where Sunil Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2020 | 51 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 0 | |
| 11 | 2015 | 2 | |
| 12 | 2012 | 29 | |
| 13 | 2012 | 22 | |
| 14 | 2012 | 153 | |
| 15 | 2012 | 74 | |
| 16 | 2011 | 1 | |
| 17 | 2011 | 26 | |
| 18 | Anti-diabetic potential of Vitis vinifera root extract against streptozotocin induced diabetic rats. | 2010 | 4 |
| 19 | Anti-inflammatory potential of the seeds of Ocimum basilicum Linn. in rats. | 2010 | 6 |
| 20 | 2007 | 25 |
About Sunil Sharma
Sunil Sharma is a scholar working on Drug Discovery, Complementary and alternative medicine and Biochemistry, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (15 papers), Synthesis and biological activity (11 papers), Essential Oils and Antimicrobial Activity (8 papers), Phytochemicals and Antioxidant Activities (7 papers), Advanced Radiotherapy Techniques (6 papers), Phytochemicals and Medicinal Plants (6 papers), Telomeres, Telomerase, and Senescence (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Biochemistry (104 citations), Pharmacology (143 citations) and Complementary and alternative medicine (126 citations). Sunil Sharma has collaborated with scholars based in India, United States and Japan. Frequent co-authors include James B. Perianayagam, K.K. Pillai, Vipin Saini, Neeru Vasudeva, Eduardo G. Moros, Robert J. Griffin, Marjan Boerma, Peter M. Corry, Éric Raymond and Hiroshi Soda. Their work appears in journals such as Indian Journal of Pharmaceutical Education and Research, Radiation Research, Technology in Cancer Research & Treatment, Journal of Ethnopharmacology and Journal of Pharmaceutical Sciences.
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.