Michael Zientek
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Pharmacology 21
- Pharmacogenetics and Drug Metabolism 21
-
- Computational Drug Discovery Methods 11
- Co-authors
- Kuresh YoudimR. Scott ObachYing JiangDeepak DalvieJ. Matthew HutzlerTheunis C. GoosenRobert L. WalskySue Zhou
- Journals
- Drug Metabolism and Disposition (15 papers)Chemical Research in Toxicology (3 papers)Drug Metabolism and Pharmacokinetics (2 papers)Molecular Pharmaceutics (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael Zientek
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Pharmacology 671
- Biochemistry 111
- Computational Theory and Mathematics 208
- Oncology 310
- Spectroscopy 127
Countries citing papers authored by Michael Zientek
This map shows the geographic impact of Michael Zientek'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 Zientek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Zientek more than expected).
Fields of papers citing papers by Michael Zientek
This network shows the impact of papers produced by Michael Zientek. 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 Zientek. The network helps show where Michael Zientek may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Zientek, 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 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 14 | |
| 7 | 2016 | 25 | |
| 8 | 2015 | 30 | |
| 9 | 2014 | 86 | |
| 10 | 2014 | 84 | |
| 11 | 2013 | 9 | |
| 12 | 2012 | 74 | |
| 13 | 2012 | 76 | |
| 14 | 2011 | 3 | |
| 15 | 2010 | 98 | |
| 16 | 2010 | 16 | |
| 17 | 2008 | 46 | |
| 18 | 2008 | 32 | |
| 19 | 2006 | 41 | |
| 20 | 1996 | 4 |
About Michael Zientek
Michael Zientek is a scholar working on Pharmacology, Computational Theory and Mathematics, Biochemistry, Spectroscopy and Transplantation, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (21 papers), Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Alcohol Consumption and Health Effects (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Pharmacology (671 citations), Biochemistry (111 citations), Computational Theory and Mathematics (208 citations), Oncology (310 citations) and Spectroscopy (127 citations). Michael Zientek has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kuresh Youdim, R. Scott Obach, Ying Jiang, Deepak Dalvie, J. Matthew Hutzler, Theunis C. Goosen, Robert L. Walsky, Sue Zhou, Ping Kang and Elaine Tseng. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Drug Metabolism and Pharmacokinetics, Molecular Pharmaceutics and ACS Medicinal Chemistry Letters.
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.