Michael Christopher Hutter

65 papers receiving 1.6k citations

Peers

Michael Christopher Hutter
Comparison fields: 5 of 104
  • Pharmacology 377
  • Computational Theory and Mathematics 307
  • Physical and Theoretical Chemistry 151
  • Molecular Biology 1.1k
  • Pharmacology 134
Replace Sandeep P. Modi with:
Sandeep P. Modi United Kingdom
Markéta Paloncýová Czechia
Karin Kolmodin Sweden
Patrik Rydberg Denmark
Jon A. Erickson United States
Eric S. Manas United States
Marc Garcia‐Borràs Spain
Michael W. Lodewyk United States
Pavlína Košinová France
William M. Atkins United States
Michael Christopher Hutter relative to Sandeep P. Modi United Kingdom Sandeep P. Modi's profile →
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Sandeep P. Modi · 1×
Citations per year

Countries citing papers authored by Michael Christopher Hutter

Since Specialization
Citations

This map shows the geographic impact of Michael Christopher 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 Christopher 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 Christopher Hutter more than expected).

Fields of papers citing papers by Michael Christopher Hutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Christopher 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 Christopher Hutter. The network helps show where Michael Christopher Hutter may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Christopher 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 Christopher Hutter Line = papers co-authored together Michael Christopher 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 1996171
2 2003111
3 200489
4 201054
5 200852
6 199850
7 199950
8 201750
9 200146
10 202145
11 200344
12 200644
13 201837
14 201236
15 201235
16 200835
17 201834
18 201133
19 199931
20 201730

About Michael Christopher Hutter

Michael Christopher Hutter is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Computational Drug Discovery Methods (22 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 (377 citations), Computational Theory and Mathematics (307 citations), Physical and Theoretical Chemistry (151 citations), Molecular Biology (1.1k citations) and Pharmacology (134 citations). Michael Christopher 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 Rostron Trentham and Michael M. Gepp. 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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