Friedemann Schmidt
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- Computational Drug Discovery Methods 12
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 4
- Spectroscopy top 10%
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- Spectroscopy and Quantum Chemical Studies 4
- Advanced Chemical Physics Studies 3
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- Radiopharmaceutical Chemistry and Applications 4
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- Machine Learning in Materials Science 4
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- Cardiac electrophysiology and arrhythmias 3
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- Atmospheric Ozone and Climate 2
- Co-authors
- Hans MatterJan WenzelAndreas CzichStefan M. KastAlexander AmbergStefan GüssregenGerhard HeßlerM Stolte
- Journals
- Journal of Computer-Aided Molecular Design (4 papers)Chemical Research in Toxicology (3 papers)Nature Reviews Drug Discovery (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Friedemann Schmidt
40 papers receiving 837 citations
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 361
- Pharmacology 101
- Toxicology 17
- Physical and Theoretical Chemistry 42
- Spectroscopy 75
Countries citing papers authored by Friedemann Schmidt
This map shows the geographic impact of Friedemann Schmidt'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 Friedemann Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedemann Schmidt more than expected).
Fields of papers citing papers by Friedemann Schmidt
This network shows the impact of papers produced by Friedemann Schmidt. 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 Friedemann Schmidt. The network helps show where Friedemann Schmidt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Friedemann Schmidt, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 22 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 29 | |
| 13 | 2015 | 41 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 31 | |
| 16 | 2000 | 9 | |
| 17 | 1993 | 15 | |
| 18 | 1991 | 46 | |
| 19 | 1991 | 6 | |
| 20 | 1981 | 28 |
About Friedemann Schmidt
Friedemann Schmidt is a scholar working on Computational Theory and Mathematics, Filtration and Separation, Pharmacology, Physical and Theoretical Chemistry and Inorganic Chemistry, having authored 42 papers that have together received 889 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Machine Learning in Materials Science (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Advanced Chemical Physics Studies (3 papers) and Atmospheric Ozone and Climate (2 papers). The work is most often cited by research in Computational Theory and Mathematics (361 citations), Pharmacology (101 citations), Toxicology (17 citations), Physical and Theoretical Chemistry (42 citations) and Spectroscopy (75 citations). Friedemann Schmidt has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Hans Matter, Jan Wenzel, Andreas Czich, Stefan M. Kast, Alexander Amberg, Stefan Güssregen, Gerhard Heßler, M Stolte, Hans-Peter Spirkl and B. Lorenz. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Chemical Research in Toxicology, Nature Reviews Drug Discovery, Environmental and Molecular Mutagenesis and Chemical Physics 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.