Knut Eis
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Cancer therapeutics and mechanisms 5
- Peroxisome Proliferator-Activated Receptors 2
- Chemical Synthesis and Analysis 2
- DNA Repair Mechanisms 2
- Melanoma and MAPK Pathways 2
- Oncology 4
- PARP inhibition in cancer therapy 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Hans‐Günther Schmalz (2 shared papers)Dominik Mumberg (2 shared papers)Uwe Eberspächer (1 shared paper)Rüdiger Neef (1 shared paper)Stefan Prechtl (1 shared paper)Francis A. Barr (1 shared paper)Lars Wortmann (1 shared paper)Erich A. Nigg (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)ChemMedChem (2 papers)iScience (1 paper)ChemBioChem (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Knut Eis
18 papers receiving 1.0k citations
Knut Eis's Hit Papers
Peers
Comparison fields: 5 of 67
- Oncology 281
- Cell Biology 172
- Molecular Biology 714
- Organic Chemistry 195
- Inorganic Chemistry 61
Countries citing papers authored by Knut Eis
This map shows the geographic impact of Knut Eis'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 Knut Eis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knut Eis more than expected).
Fields of papers citing papers by Knut Eis
This network shows the impact of papers produced by Knut Eis. 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 Knut Eis. The network helps show where Knut Eis may publish in the future.
Co-authors
The 25 scholars most cited alongside Knut Eis, 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 | Discovery of potent SOS1 inhibitors that block RAS activation via disruption of the RAS–SOS1 interaction Hit paper breakdown → | 2019 | 316 |
| 2 | 2007 | 165 | |
| 3 | 2017 | 163 | |
| 4 | 2000 | 79 | |
| 5 | 2020 | 63 | |
| 6 | 2017 | 52 | |
| 7 | 2020 | 46 | |
| 8 | 2018 | 38 | |
| 9 | 2006 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2021 | 14 | |
| 12 | 1997 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2024 | 7 | |
| 17 | 2025 | 6 | |
| 18 | 2005 | 1 |
About Knut Eis
Knut Eis is a scholar working on Molecular Biology, Oncology, Cell Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), Computational Drug Discovery Methods (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), PARP inhibition in cancer therapy (2 papers), Chemical Synthesis and Analysis (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Oncology (281 citations), Cell Biology (172 citations), Molecular Biology (714 citations), Organic Chemistry (195 citations) and Inorganic Chemistry (61 citations). Knut Eis has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Hans‐Günther Schmalz, Dominik Mumberg, Uwe Eberspächer, Rüdiger Neef, Stefan Prechtl, Francis A. Barr, Lars Wortmann, Erich A. Nigg, Marcus Koppitz and Gerhard Siemeister. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, iScience, ChemBioChem and Molecular Biology of the Cell.
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.