Satish Sharan
Impact in
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- Phytochemicals and Medicinal Plants
- Medicinal Plants and Neuroprotection
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Angiogenesis and VEGF in Cancer 2
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- Pregnancy and Medication Impact 3
- Reproductive Health and Contraception 3
- Co-authors
- Sukyung Woo (4 shared papers)D. Bharat Reddy (1 shared paper)Pallu Reddanna (1 shared paper)T. Chandramohan Reddy (1 shared paper)Swati Nagar (4 shared papers)Daniel J. Canney (2 shared papers)Otito F. Iwuchukwu (2 shared papers)Lanyan Fang (6 shared papers)
- Journals
- Drug Metabolism and Disposition (3 papers)The AAPS Journal (3 papers)The Journal of Clinical Pharmacology (2 papers)Journal of Clinical Oncology (1 paper)Journal of Pharmacokinetics and Pharmacodynamics (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Satish Sharan
18 papers receiving 305 citations
Peers
Comparison fields: 5 of 78
- Complementary and alternative medicine 73
- Geriatrics and Gerontology 27
- Drug Discovery 1
- Pharmacology 46
- Pharmacology 69
Countries citing papers authored by Satish Sharan
This map shows the geographic impact of Satish Sharan'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 Satish Sharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish Sharan more than expected).
Fields of papers citing papers by Satish Sharan
This network shows the impact of papers produced by Satish Sharan. 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 Satish Sharan. The network helps show where Satish Sharan may publish in the future.
Co-authors
The 25 scholars most cited alongside Satish Sharan, 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 | 2009 | 131 | |
| 2 | 2020 | 37 | |
| 3 | 2011 | 18 | |
| 4 | 2013 | 17 | |
| 5 | 2012 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2015 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2014 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 3 |
About Satish Sharan
Satish Sharan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Statistics and Probability, Geriatrics and Gerontology and Oncology, having authored 18 papers that have together received 325 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Pregnancy and Medication Impact (3 papers), Reproductive Health and Contraception (3 papers), Mathematical Biology Tumor Growth (2 papers), Optimal Experimental Design Methods (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Complementary and alternative medicine (73 citations), Geriatrics and Gerontology (27 citations), Drug Discovery (1 citation), Pharmacology (46 citations) and Pharmacology (69 citations). Satish Sharan has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Sukyung Woo, D. Bharat Reddy, Pallu Reddanna, T. Chandramohan Reddy, Swati Nagar, Daniel J. Canney, Otito F. Iwuchukwu, Lanyan Fang, Liang Zhao and Viera Lukáčová. Their work appears in journals such as Drug Metabolism and Disposition, The AAPS Journal, The Journal of Clinical Pharmacology, Journal of Clinical Oncology and Journal of Pharmacokinetics and Pharmacodynamics.
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.