Knut Eis
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Asymmetric Synthesis and Catalysis
Papers in
-
- Cancer therapeutics and mechanisms 2
- PI3K/AKT/mTOR signaling in cancer 2
- Chemical Synthesis and Analysis 2
- Coenzyme Q10 studies and effects 1
- Ubiquitin and proteasome pathways 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Hans‐Günther Schmalz (2 shared papers)Dominik Mumberg (5 shared papers)Uwe Eberspächer (1 shared paper)Anna Santamaría (1 shared paper)Volker Schulze (2 shared papers)Rüdiger Neef (1 shared paper)Gerhard Siemeister (2 shared papers)Lars Wortmann (1 shared paper)
- Journals
- Cancer Research (4 papers)Drug Discovery Today (1 paper)Synthesis (1 paper)European Journal of Cancer (1 paper)ChemMedChem (1 paper)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Knut Eis
13 papers receiving 366 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 139
- Organic Chemistry 117
- Inorganic Chemistry 55
- Molecular Biology 243
- Oncology 67
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 | 2007 | 163 | |
| 2 | 2000 | 79 | |
| 3 | 2017 | 49 | |
| 4 | 2006 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 1997 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2015 | 3 | |
| 10 | 2018 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2005 | 1 | |
| 13 | 2016 | 1 |
About Knut Eis
Knut Eis is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cancer Mechanisms and Therapy (2 papers), Cancer therapeutics and mechanisms (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Chemical Synthesis and Analysis (2 papers), Coenzyme Q10 studies and effects (1 paper), Ubiquitin and proteasome pathways (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Cell Biology (139 citations), Organic Chemistry (117 citations), Inorganic Chemistry (55 citations), Molecular Biology (243 citations) and Oncology (67 citations). Knut Eis has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Hans‐Günther Schmalz, Dominik Mumberg, Uwe Eberspächer, Anna Santamaría, Volker Schulze, Rüdiger Neef, Gerhard Siemeister, Lars Wortmann, Stefan Prechtl and Francis A. Barr. Their work appears in journals such as Cancer Research, Drug Discovery Today, Synthesis, European Journal of Cancer and ChemMedChem.
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.