Michael A. Mohutsky
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 27
- Drug-Induced Hepatotoxicity and Protection 10
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- Drug Transport and Resistance Mechanisms 15
- Pharmaceutical Science top 10%
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- Computational Drug Discovery Methods 6
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- Pharmacological Effects and Toxicity Studies 5
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- Analytical Chemistry and Chromatography 4
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Phytochemistry and Bioactive Compounds 2
- Co-authors
- Steven WrightonStephen D. HallGary W. ElmerAnnie LamBarbara J. RingJenny Y. ChienJohn HarrelsonJialin Mao
- Journals
- Journal of Pharmacology and Experimental Therapeutics (1 paper)International Journal of Pharmaceutics (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Michael A. Mohutsky
33 papers receiving 689 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 437
- Complementary and alternative medicine 69
- Oncology 210
- Pharmaceutical Science 46
- Computational Theory and Mathematics 93
Countries citing papers authored by Michael A. Mohutsky
This map shows the geographic impact of Michael A. Mohutsky'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 Michael A. Mohutsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Mohutsky more than expected).
Fields of papers citing papers by Michael A. Mohutsky
This network shows the impact of papers produced by Michael A. Mohutsky. 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 Michael A. Mohutsky. The network helps show where Michael A. Mohutsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael A. Mohutsky, 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 | 2026 | 0 | |
| 2 | 2019 | 1 | |
| 3 | 2018 | 25 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 17 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 14 | |
| 8 | 2016 | 17 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 35 | |
| 11 | 2012 | 30 | |
| 12 | 2012 | 32 | |
| 13 | 2011 | 45 | |
| 14 | 2011 | 20 | |
| 15 | 2008 | 28 | |
| 16 | 2007 | 24 | |
| 17 | 2006 | 54 | |
| 18 | 2006 | 40 | |
| 19 | 2005 | 7 | |
| 20 | 2003 | 17 |
About Michael A. Mohutsky
Michael A. Mohutsky is a scholar working on Pharmacology, Oncology and Pharmaceutical Science, having authored 34 papers that have together received 716 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Drug Transport and Resistance Mechanisms (15 papers), Drug-Induced Hepatotoxicity and Protection (10 papers), Computational Drug Discovery Methods (6 papers), Pharmacological Effects and Toxicity Studies (5 papers), Analytical Chemistry and Chromatography (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Phytochemistry and Bioactive Compounds (2 papers). The work is most often cited by research in Pharmacology (437 citations), Complementary and alternative medicine (69 citations) and Oncology (210 citations). Michael A. Mohutsky has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Steven Wrighton, Stephen D. Hall, Gary W. Elmer, Annie Lam, Barbara J. Ring, Jenny Y. Chien, John Harrelson, Jialin Mao, John W. Miller and Gail D. Anderson. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, International Journal of Pharmaceutics and Biochemical Pharmacology.
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.