Timon Schroeter
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 9
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- Peroxisome Proliferator-Activated Receptors 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Co-authors
- Klaus‐Robert Müller (10 shared papers)Sebastian Mika (9 shared papers)Antonius ter Laak (8 shared papers)Nikolaus Heinrich (8 shared papers)Katja Hansen (7 shared papers)Andreas Sutter (2 shared papers)Thomas Steger‐Hartmann (2 shared papers)Anton Schwaighofer (7 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Journal of Computer-Aided Molecular Design (2 papers)ChemMedChem (2 papers)Molecular Pharmaceutics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Timon Schroeter
14 papers receiving 604 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 466
- Chemical Health and Safety 5
- Spectroscopy 103
- Pharmacology 44
- Analytical Chemistry 40
Countries citing papers authored by Timon Schroeter
This map shows the geographic impact of Timon Schroeter'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 Timon Schroeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timon Schroeter more than expected).
Fields of papers citing papers by Timon Schroeter
This network shows the impact of papers produced by Timon Schroeter. 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 Timon Schroeter. The network helps show where Timon Schroeter may publish in the future.
Co-authors
The 25 scholars most cited alongside Timon Schroeter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 257 | |
| 2 | 2007 | 56 | |
| 3 | 2007 | 51 | |
| 4 | 2009 | 45 | |
| 5 | 2011 | 36 | |
| 6 | 2007 | 35 | |
| 7 | 2008 | 28 | |
| 8 | 2009 | 23 | |
| 9 | 2007 | 23 | |
| 10 | 2007 | 22 | |
| 11 | 2009 | 22 | |
| 12 | 2009 | 21 | |
| 13 | 2010 | 11 | |
| 14 | 2005 | 1 |
About Timon Schroeter
Timon Schroeter is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Materials Chemistry and Pharmacology, having authored 14 papers that have together received 631 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (6 papers), Machine Learning in Materials Science (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Process Optimization and Integration (1 paper). The work is most often cited by research in Computational Theory and Mathematics (466 citations), Chemical Health and Safety (5 citations), Spectroscopy (103 citations), Pharmacology (44 citations) and Analytical Chemistry (40 citations). Timon Schroeter has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Klaus‐Robert Müller, Sebastian Mika, Antonius ter Laak, Nikolaus Heinrich, Katja Hansen, Andreas Sutter, Thomas Steger‐Hartmann, Anton Schwaighofer, Detlev Suelzle and Matthias Rupp. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, ChemMedChem, Molecular Pharmaceutics and Bioorganic & Medicinal Chemistry Letters.
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.