Kai Sommer
Impact in
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- Computational Drug Discovery Methods
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- Spectroscopy and Laser Applications
Papers in
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- Computational Drug Discovery Methods 11
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- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Matthias Rarey (9 shared papers)Florian Flachsenberg (6 shared papers)Nils‐Ole Friedrich (4 shared papers)Johannes Kirchmair (3 shared papers)Agnes Meyder (4 shared papers)Christina de Bruyn Kops (2 shared papers)Patrick Penner (1 shared paper)S.S. Hasnain (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (6 papers)Molecular Informatics (1 paper)ChemMedChem (1 paper)Pest Management Science (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- GermanyNorwaySwitzerland
In The Last Decade
Kai Sommer
14 papers receiving 390 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 217
- Spectroscopy 63
- Toxicology 12
- Pharmacology 54
- Molecular Biology 227
Countries citing papers authored by Kai Sommer
This map shows the geographic impact of Kai Sommer'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 Kai Sommer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Sommer more than expected).
Fields of papers citing papers by Kai Sommer
This network shows the impact of papers produced by Kai Sommer. 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 Kai Sommer. The network helps show where Kai Sommer may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Sommer, 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 | 2017 | 88 | |
| 2 | 2017 | 77 | |
| 3 | 2019 | 56 | |
| 4 | 1979 | 42 | |
| 5 | 2020 | 42 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2017 | 3 | |
| 14 | Assessment of brain anatomy with gradient-echo contrasts: A comparison between magnitude, phase & R2* imaging with quantitative susceptibility mapping (QSM) | 2012 | 1 |
About Kai Sommer
Kai Sommer is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Materials Chemistry and Radiation, having authored 14 papers that have together received 401 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Enzyme Structure and Function (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Forensic Toxicology and Drug Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Spectroscopy (63 citations), Toxicology (12 citations), Pharmacology (54 citations) and Molecular Biology (227 citations). Kai Sommer has collaborated with scholars based in Germany, Norway and Switzerland. Frequent co-authors include Matthias Rarey, Florian Flachsenberg, Nils‐Ole Friedrich, Johannes Kirchmair, Agnes Meyder, Christina de Bruyn Kops, Patrick Penner, S.S. Hasnain, D. Haaks and G. Zimmerer. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, ChemMedChem, Pest Management Science and European Journal of Medicinal 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.