Deepak Dalvie
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 38
- Inflammatory mediators and NSAID effects 6
- Drug-Induced Hepatotoxicity and Protection 5
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 5
- Organic Chemistry top 2%
- Synthesis and Biological Evaluation 5
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 5
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- Drug Transport and Resistance Mechanisms 10
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- HIV/AIDS drug development and treatment 5
- Co-authors
- Amit S. KalgutkarR. Scott ObachJohn P. O’DonnellS. Cyrus Khojasteh-BakhtPing KangTim TaylorQiyue HuMichael Zientek
- Journals
- Drug Metabolism and Disposition (25 papers)Chemical Research in Toxicology (10 papers)Xenobiotica (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Deepak Dalvie
75 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 124
- Pharmacology 1.5k
- Biochemistry 312
- Computational Theory and Mathematics 607
- Organic Chemistry 831
- Molecular Biology 1.7k
Countries citing papers authored by Deepak Dalvie
This map shows the geographic impact of Deepak Dalvie'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 Dalvie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Dalvie more than expected).
Fields of papers citing papers by Deepak Dalvie
This network shows the impact of papers produced by Deepak Dalvie. 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 Dalvie. The network helps show where Deepak Dalvie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak Dalvie, 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 | 2025 | 0 | |
| 2 | 2021 | 12 | |
| 3 | 2019 | 57 | |
| 4 | 2016 | 8 | |
| 5 | 2015 | 11 | |
| 6 | 2014 | 15 | |
| 7 | 2013 | 197 | |
| 8 | 2013 | 29 | |
| 9 | 2011 | 30 | |
| 10 | 2010 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2008 | 29 | |
| 13 | 2008 | 41 | |
| 14 | 2007 | 17 | |
| 15 | 2007 | 36 | |
| 16 | 2003 | 56 | |
| 17 | 1999 | 9 | |
| 18 | 1999 | 3 | |
| 19 | 1993 | 7 | |
| 20 | 1992 | 24 |
About Deepak Dalvie
Deepak Dalvie is a scholar working on Pharmacology, Biochemistry, Toxicology, Oncology and Pharmacology, having authored 76 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (38 papers), Drug Transport and Resistance Mechanisms (10 papers), Inflammatory mediators and NSAID effects (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), HIV/AIDS drug development and treatment (5 papers), Synthesis and Biological Evaluation (5 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). The work is most often cited by research in Pharmacology (1.5k citations), Biochemistry (312 citations), Computational Theory and Mathematics (607 citations), Organic Chemistry (831 citations) and Molecular Biology (1.7k citations). Deepak Dalvie has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Amit S. Kalgutkar, R. Scott Obach, John P. O’Donnell, S. Cyrus Khojasteh-Bakht, Ping Kang, Tim Taylor, Qiyue Hu, John P. O’Donnell, Michael Zientek and R. Foti. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Xenobiotica, Journal of Medicinal Chemistry and Drug Metabolism Reviews.
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.