Michael Reutlinger
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
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- Receptor Mechanisms and Signaling 5
- Chemical Synthesis and Analysis 5
- Protein Structure and Dynamics 4
-
- Computational Drug Discovery Methods 22
- Co-authors
- Gisbert Schneider (25 shared papers)Petra Schneider (18 shared papers)Tiago Rodrigues (12 shared papers)Daniel Reker (4 shared papers)Bernd Kuhn (2 shared papers)Martin Ståhl (1 shared paper)Julian E. Fuchs (1 shared paper)Neil R. Taylor (1 shared paper)
- Journals
- Angewandte Chemie International Edition (6 papers)Molecular Informatics (4 papers)Journal of Medicinal Chemistry (3 papers)Future Medicinal Chemistry (2 papers)CHIMIA International Journal for Chemistry (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Michael Reutlinger
39 papers receiving 988 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 590
- Pharmacology 188
- Molecular Biology 586
- Organic Chemistry 211
- Toxicology 20
Countries citing papers authored by Michael Reutlinger
This map shows the geographic impact of Michael Reutlinger'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 Reutlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Reutlinger more than expected).
Fields of papers citing papers by Michael Reutlinger
This network shows the impact of papers produced by Michael Reutlinger. 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 Reutlinger. The network helps show where Michael Reutlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Reutlinger, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 132 | |
| 2 | 2014 | 103 | |
| 3 | 2011 | 80 | |
| 4 | 2014 | 67 | |
| 5 | 2008 | 61 | |
| 6 | 2013 | 53 | |
| 7 | 2012 | 50 | |
| 8 | 2014 | 38 | |
| 9 | 2011 | 34 | |
| 10 | 2011 | 33 | |
| 11 | 2014 | 31 | |
| 12 | 2018 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2011 | 26 | |
| 15 | 2017 | 23 | |
| 16 | 2012 | 21 | |
| 17 | 2022 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2013 | 15 |
About Michael Reutlinger
Michael Reutlinger is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Materials Chemistry, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Machine Learning in Materials Science (7 papers), Receptor Mechanisms and Signaling (5 papers), Chemical Synthesis and Analysis (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Protein Structure and Dynamics (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (590 citations), Pharmacology (188 citations), Molecular Biology (586 citations), Organic Chemistry (211 citations) and Toxicology (20 citations). Michael Reutlinger has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Gisbert Schneider, Petra Schneider, Tiago Rodrigues, Daniel Reker, Bernd Kuhn, Martin Ståhl, Julian E. Fuchs, Neil R. Taylor, Markus Hartenfeller and Jan A. Hiss. Their work appears in journals such as Angewandte Chemie International Edition, Molecular Informatics, Journal of Medicinal Chemistry, Future Medicinal Chemistry and CHIMIA International Journal for Chemistry.
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.