Michael C. Hutter

1.9k total citations
67 papers, 1.6k citations indexed

About

Michael C. Hutter is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Michael C. Hutter has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 27 papers in Pharmacology and 21 papers in Computational Theory and Mathematics. Recurrent topics in Michael C. Hutter's work include Pharmacogenetics and Drug Metabolism (26 papers), Computational Drug Discovery Methods (21 papers) and Steroid Chemistry and Biochemistry (10 papers). Michael C. Hutter is often cited by papers focused on Pharmacogenetics and Drug Metabolism (26 papers), Computational Drug Discovery Methods (21 papers) and Steroid Chemistry and Biochemistry (10 papers). Michael C. Hutter collaborates with scholars based in Germany, Australia and United States. Michael C. Hutter's co-authors include Timothy Clark, Rita Bernhardt, Volkhard Helms, Noel S. Hush, Jeffrey R. Reimers, Markus A. Lill, Josef Zapp, Frank Hannemann, John E. T. Corrie and Andreas Barth and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Michael C. Hutter

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael C. Hutter Germany 24 1.0k 365 297 222 210 67 1.6k
John C. Hackett United States 20 457 0.4× 294 0.8× 170 0.6× 239 1.1× 582 2.8× 39 1.7k
Richard Lonsdale Germany 28 1.6k 1.5× 517 1.4× 265 0.9× 314 1.4× 780 3.7× 39 2.6k
Sandeep Modi United Kingdom 26 1.2k 1.1× 987 2.7× 527 1.8× 200 0.9× 306 1.5× 67 2.5k
Markéta Paloncýová Czechia 22 745 0.7× 246 0.7× 149 0.5× 312 1.4× 176 0.8× 39 1.4k
Gu Yuan China 24 1.1k 1.1× 116 0.3× 253 0.9× 298 1.3× 449 2.1× 124 2.0k
Andreas H. Göller Germany 23 625 0.6× 249 0.7× 675 2.3× 399 1.8× 519 2.5× 56 1.7k
Gaston Hui Bon Hoa France 31 1.7k 1.6× 865 2.4× 235 0.8× 334 1.5× 88 0.4× 101 2.9k
Stefan Senger United Kingdom 15 1.1k 1.0× 113 0.3× 969 3.3× 307 1.4× 373 1.8× 28 1.9k
Osman Güner United States 17 875 0.8× 115 0.3× 785 2.6× 136 0.6× 429 2.0× 36 1.6k
Akifumi Oda Japan 21 757 0.7× 420 1.2× 297 1.0× 224 1.0× 200 1.0× 121 1.5k

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-authorship network of co-authors of Michael C. Hutter

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Hutter. A scholar is included among the top collaborators of Michael C. Hutter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael C. Hutter. Michael C. Hutter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urlacher, Vlada B., et al.. (2024). New CYP154C4 from Streptomyces cavourensis YBQ59 performs regio- and stereo- selective 3β-hydroxlation of nootkatone. Archives of Biochemistry and Biophysics. 762. 110192–110192. 1 indexed citations
2.
Hutter, Michael C., et al.. (2023). Spotlight on CYP4B1. International Journal of Molecular Sciences. 24(3). 2038–2038. 11 indexed citations
3.
Hutter, Michael C., et al.. (2021). Resurrection and characterization of ancestral CYP11A1 enzymes. FEBS Journal. 288(22). 6510–6527. 17 indexed citations
4.
5.
Kattner, Lars, et al.. (2020). Highly regio- and stereoselective hydroxylation of vitamin D2 by CYP109E1. Biochemical and Biophysical Research Communications. 524(2). 295–300. 11 indexed citations
6.
Hutter, Michael C., et al.. (2019). Novel insights into oxidation of fatty acids and fatty alcohols by cytochrome P450 monooxygenase CYP4B1. Archives of Biochemistry and Biophysics. 679. 108216–108216. 18 indexed citations
7.
Bakkes, Patrick J., Peter Schubert, Marco Girhard, et al.. (2017). Engineering of versatile redox partner fusions that support monooxygenase activity of functionally diverse cytochrome P450s. Scientific Reports. 7(1). 9570–9570. 48 indexed citations
8.
Schmitz, Daniela, et al.. (2016). Biotransformation of prednisone and dexamethasone by cytochrome P450 based systems – Identification of new potential drug candidates. Journal of Biotechnology. 242. 101–110. 17 indexed citations
9.
Hutter, Michael C., et al.. (2015). Regioselective Acetylation of C21 Hydroxysteroids by the Bacterial Chloramphenicol Acetyltransferase I. ChemBioChem. 16(11). 1670–1679. 17 indexed citations
10.
Hutter, Michael C., Matthias Negri, Claudia Henn, et al.. (2014). Mechanistic details for anthraniloyl transfer in PqsD: the initial step in HHQ biosynthesis. Journal of Molecular Modeling. 20(6). 2255–2255. 8 indexed citations
11.
Khatri, Yogan, et al.. (2012). CYP264B1 from Sorangium cellulosum So ce56: a fascinating norisoprenoid and sesquiterpene hydroxylase. Applied Microbiology and Biotechnology. 95(1). 123–133. 32 indexed citations
12.
Hannemann, Frank, et al.. (2011). CYP105A1 mediated 3-hydroxylation of glimepiride and glibenclamide using a recombinant Bacillus megaterium whole-cell catalyst. Journal of Biotechnology. 157(3). 405–412. 16 indexed citations
13.
14.
Gu, Wei, Bo Zhou, Tihamér Geyer, et al.. (2010). Design of a Gated Molecular Proton Channel. Angewandte Chemie International Edition. 50(3). 768–771. 13 indexed citations
15.
Hutter, Michael C.. (2008). In Silico Prediction of Drug Properties. Current Medicinal Chemistry. 16(2). 189–202. 32 indexed citations
16.
Gepp, Michael & Michael C. Hutter. (2006). Determination of hERG channel blockers using a decision tree. Bioorganic & Medicinal Chemistry. 14(15). 5325–5332. 40 indexed citations
17.
Olkhova, Elena, Michael C. Hutter, Markus A. Lill, Volkhard Helms, & Hartmut Michel. (2004). Dynamic Water Networks in Cytochrome c Oxidase from Paracoccus denitrificans Investigated by Molecular Dynamics Simulations. Biophysical Journal. 86(4). 1873–1889. 88 indexed citations
18.
Bartoschek, Stefan, Gerrit Buurman, Rudolf K. Thauer, et al.. (2001). Re-Face Stereospecificity of Methylenetetrahydromethanopterin and Methylenetetrahydrofolate Dehydrogenases is Predetermined by Intrinsic Properties of the Substrate. ChemBioChem. 2(7-8). 530–541. 22 indexed citations
19.
Hutter, Michael C. & Volkhard Helms. (2000). Phosphoryl transfer by a concerted reaction mechanism in UMP/CMP‐kinase. Protein Science. 9(11). 2225–2231. 14 indexed citations
20.
Hutter, Michael C. & Volkhard Helms. (1999). Influence of key residues on the reaction mechanism of the cAMP‐dependent protein kinase. Protein Science. 8(12). 2728–2733. 30 indexed citations

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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