S. Kutter
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- Protein Kinase Regulation and GTPase Signaling
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Protein Structure and Dynamics 7
- Protein Kinase Regulation and GTPase Signaling 4
- Signaling Pathways in Disease 1
- RNA and protein synthesis mechanisms 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Dorothee Kern (9 shared papers)Roman V. Agafonov (4 shared papers)Vanessa Buosi (4 shared papers)Marc Hoemberger (3 shared papers)Adelajda Zorba (4 shared papers)Douglas L. Theobald (2 shared papers)Francesco Pontiggia (2 shared papers)Renee Otten (3 shared papers)
- Journals
- FEBS Journal (2 papers)eLife (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
S. Kutter
14 papers receiving 759 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 521
- Cell Biology 99
- Biochemistry 32
- Computational Theory and Mathematics 46
- Biotechnology 19
Countries citing papers authored by S. Kutter
This map shows the geographic impact of S. Kutter'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 S. Kutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kutter more than expected).
Fields of papers citing papers by S. Kutter
This network shows the impact of papers produced by S. Kutter. 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 S. Kutter. The network helps show where S. Kutter may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Kutter, 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 | 2016 | 163 | |
| 2 | 2015 | 150 | |
| 3 | 2015 | 126 | |
| 4 | 2014 | 109 | |
| 5 | 2009 | 39 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 35 | |
| 8 | 2016 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2023 | 21 | |
| 11 | 2006 | 20 | |
| 12 | 2009 | 15 | |
| 13 | 2007 | 9 | |
| 14 | 2011 | 3 | |
| 15 | 2026 | 0 |
About S. Kutter
S. Kutter is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Biochemistry and Physiology, having authored 15 papers that have together received 775 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Microtubule and mitosis dynamics (3 papers), Alzheimer's disease research and treatments (2 papers), Biochemical Acid Research Studies (2 papers), Signaling Pathways in Disease (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (521 citations), Cell Biology (99 citations), Biochemistry (32 citations), Computational Theory and Mathematics (46 citations) and Biotechnology (19 citations). S. Kutter has collaborated with scholars based in United States and Germany. Frequent co-authors include Dorothee Kern, Roman V. Agafonov, Vanessa Buosi, Marc Hoemberger, Adelajda Zorba, Douglas L. Theobald, Francesco Pontiggia, Renee Otten, Vy Nguyen and Nadja Kern. Their work appears in journals such as FEBS Journal, eLife, Science, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.
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.