Michael C. Hutter

1.9k citations
68 papers · 1.6k · h-index 24

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 11
    • Photosynthetic Processes and Mechanisms 8
    • Plant biochemistry and biosynthesis 5
    • Pharmacogenetics and Drug Metabolism 27

Michael C. Hutter

64 papers receiving 1.6k citations

Peers

Michael C. Hutter
Comparison fields: 5 of 102
  • Pharmacology 358
  • Computational Theory and Mathematics 287
  • Molecular Biology 1.0k
  • Physical and Theoretical Chemistry 135
  • Pharmacology 122
Replace John C. Hackett with:
John C. Hackett United States
Sandeep Modi United Kingdom
Andreas H. Göller Germany
Gaston Hui Bon Hoa France
Markéta Paloncýová Czechia
Stefan Senger United Kingdom
Akifumi Oda Japan
Patrik Rydberg Denmark
Iain M. McLay United Kingdom
Rakesh Paul India
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Citations per field
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Citations per year

Countries citing papers authored by Michael C. Hutter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael C. Hutter Line = papers co-authored together Michael C. Hutter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996154
2 2003107
3 200488
4 201050
5 201749
6 199949
7 200848
8 199846
9 200143
10 202141
11 200641
12 201837
13 200337
14 201236
15 201833
16 201132
17 201232
18 200832
19 199930
20 201729

About Michael C. Hutter

Michael C. Hutter is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Computational Drug Discovery Methods (21 papers), Steroid Chemistry and Biochemistry (11 papers), Photosynthetic Processes and Mechanisms (8 papers), Hormonal Regulation and Hypertension (7 papers), Analytical Chemistry and Chromatography (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 (358 citations), Computational Theory and Mathematics (287 citations), Molecular Biology (1.0k citations), Physical and Theoretical Chemistry (135 citations) and Pharmacology (122 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, Josef Zapp, Markus A. Lill, Frank Hannemann, David R. Trentham and John E. T. Corrie. Their work appears in journals such as ChemBioChem, Journal of Chemical Information and Modeling, Future Medicinal Chemistry, Journal of the American Chemical Society and FEBS Journal.

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.

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