Michael C. Hutter
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in ⓘ
- Pharmacology 27
- Pharmacogenetics and Drug Metabolism 26
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- Computational Drug Discovery Methods 21
- Co-authors
- Timothy Clark (1 shared paper)Rita Bernhardt (18 shared papers)Volkhard Helms (11 shared papers)Noel S. Hush (5 shared papers)Jeffrey R. Reimers (5 shared papers)Markus A. Lill (2 shared papers)Josef Zapp (6 shared papers)Frank Hannemann (7 shared papers)
- Journals
- ChemBioChem (7 papers)Journal of Chemical Information and Modeling (6 papers)Future Medicinal Chemistry (5 papers)FEBS Journal (3 papers)Journal of the American Chemical Society (3 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Michael C. Hutter
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Pharmacology 365
- Computational Theory and Mathematics 297
- Physical and Theoretical Chemistry 138
- Molecular Biology 1.0k
- Pharmacology 127
Countries citing papers authored by Michael C. Hutter
This map shows the geographic impact of Michael C. Hutter'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 C. Hutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Hutter more than expected).
Fields of papers citing papers by Michael C. Hutter
This network shows the impact of papers produced by Michael C. Hutter. 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 C. Hutter. The network helps show where Michael C. Hutter may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Hutter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 154 | |
| 2 | 2003 | 108 | |
| 3 | 2004 | 88 | |
| 4 | 2010 | 50 | |
| 5 | 1999 | 49 | |
| 6 | 2017 | 48 | |
| 7 | 2008 | 48 | |
| 8 | 1998 | 46 | |
| 9 | 2001 | 43 | |
| 10 | 2006 | 40 | |
| 11 | 2021 | 38 | |
| 12 | 2003 | 37 | |
| 13 | 2018 | 37 | |
| 14 | 2012 | 36 | |
| 15 | 2008 | 32 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 1999 | 30 | |
| 20 | 2002 | 28 |
About Michael C. Hutter
Michael C. Hutter is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry and Endocrinology, Diabetes and Metabolism, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (26 papers), Computational Drug Discovery Methods (21 papers), Steroid Chemistry and Biochemistry (10 papers), Photosynthetic Processes and Mechanisms (8 papers), Analytical Chemistry and Chromatography (6 papers), Hormonal Regulation and Hypertension (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers) and Plant biochemistry and biosynthesis (5 papers). The work is most often cited by research in Pharmacology (365 citations), Computational Theory and Mathematics (297 citations), Physical and Theoretical Chemistry (138 citations), Molecular Biology (1.0k citations) and Pharmacology (127 citations). Michael C. Hutter has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Timothy Clark, Rita Bernhardt, Volkhard Helms, Noel S. Hush, Jeffrey R. Reimers, Markus A. Lill, Josef Zapp, Frank Hannemann, David R. Trentham and Andreas Barth. Their work appears in journals such as ChemBioChem, Journal of Chemical Information and Modeling, Future Medicinal Chemistry, FEBS Journal and Journal of the American Chemical Society.
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.