Torsten Schindler
Impact in
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- Computational Drug Discovery Methods
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- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 5
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- Analytical Chemistry and Chromatography 3
- Molecular spectroscopy and chirality 1
- Co-authors
- Timothy Clark (2 shared papers)Georg Wuitschik (3 shared papers)Bernd Beck (1 shared paper)Timothy J. Mitchell (1 shared paper)W. T. King (1 shared paper)Martin Fitzner (2 shared papers)Jean‐Michel Adam (2 shared papers)Raffael Koller (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Organic Process Research & Development (1 paper)Chemical Science (1 paper)Journal of Computational Chemistry (1 paper)Journal of Molecular Modeling (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Torsten Schindler
13 papers receiving 350 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 189
- Pharmacology 37
- Spectroscopy 55
- Organic Chemistry 73
- Molecular Biology 138
Countries citing papers authored by Torsten Schindler
This map shows the geographic impact of Torsten Schindler'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 Torsten Schindler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Schindler more than expected).
Fields of papers citing papers by Torsten Schindler
This network shows the impact of papers produced by Torsten Schindler. 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 Torsten Schindler. The network helps show where Torsten Schindler may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Schindler, 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 | 2002 | 98 | |
| 2 | 2017 | 69 | |
| 3 | 2020 | 46 | |
| 4 | 2023 | 36 | |
| 5 | 2008 | 32 | |
| 6 | 2023 | 25 | |
| 7 | 2007 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2000 | 6 | |
| 12 | 2002 | 4 | |
| 13 | 2023 | 2 |
About Torsten Schindler
Torsten Schindler is a scholar working on Computational Theory and Mathematics, Spectroscopy, Molecular Biology, Pharmacology and Artificial Intelligence, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Analytical Chemistry and Chromatography (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Machine Learning in Materials Science (2 papers), Molecular spectroscopy and chirality (1 paper), Inflammatory mediators and NSAID effects (1 paper), Prenatal Substance Exposure Effects (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (189 citations), Pharmacology (37 citations), Spectroscopy (55 citations), Organic Chemistry (73 citations) and Molecular Biology (138 citations). Torsten Schindler has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Timothy Clark, Georg Wuitschik, Bernd Beck, Timothy J. Mitchell, W. T. King, Martin Fitzner, Jean‐Michel Adam, Raffael Koller, Jean‐Louis Reymond and Andrew G. Leach. Their work appears in journals such as Journal of Medicinal Chemistry, Organic Process Research & Development, Chemical Science, Journal of Computational Chemistry and Journal of Molecular Modeling.
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.