Simon Syga
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
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- Cellular Mechanics and Interactions 6
- Microtubule and mitosis dynamics 1
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- Gene Regulatory Network Analysis 2
- Co-authors
- Andreas Deutsch (7 shared papers)Peter Bult (1 shared paper)Stefano Zapperi (1 shared paper)Gert‐Jan Bakker (1 shared paper)Jürgen Lippoldt (1 shared paper)Jörn Starruß (1 shared paper)Peter Friedl (2 shared papers)Oleksandr Chepizhko (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Nature Cell Biology (1 paper)Journal of Cell Science (1 paper)University of Chester's Online Research Repository (University of Chester) (1 paper)Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) (1 paper)
- Partner nations
- GermanyUnited KingdomUnited Arab Emirates
In The Last Decade
Simon Syga
7 papers receiving 272 citations
Peers
Comparison fields: 5 of 56
- Cell Biology 172
- Modeling and Simulation 29
- Oncology 95
- Biomedical Engineering 129
- Biophysics 13
Countries citing papers authored by Simon Syga
This map shows the geographic impact of Simon Syga'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 Simon Syga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Syga more than expected).
Fields of papers citing papers by Simon Syga
This network shows the impact of papers produced by Simon Syga. 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 Simon Syga. The network helps show where Simon Syga may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Syga, 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 | 2020 | 241 | |
| 2 | 2021 | 16 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2022 | 0 |
About Simon Syga
Simon Syga is a scholar working on Cell Biology, Molecular Biology, Modeling and Simulation, Oncology and Biomedical Engineering, having authored 8 papers that have together received 275 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Mathematical Biology Tumor Growth (3 papers), Cancer Cells and Metastasis (2 papers), Gene Regulatory Network Analysis (2 papers), 3D Printing in Biomedical Research (2 papers), Micro and Nano Robotics (1 paper), Microtubule and mitosis dynamics (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cell Biology (172 citations), Modeling and Simulation (29 citations), Oncology (95 citations), Biomedical Engineering (129 citations) and Biophysics (13 citations). Simon Syga has collaborated with scholars based in Germany, United Kingdom and United Arab Emirates. Frequent co-authors include Andreas Deutsch, Peter Bult, Stefano Zapperi, Gert‐Jan Bakker, Jürgen Lippoldt, Jörn Starruß, Peter Friedl, Oleksandr Chepizhko, Olga Ilina and Josef A. Käs. Their work appears in journals such as PLoS Computational Biology, Nature Cell Biology, Journal of Cell Science, University of Chester's Online Research Repository (University of Chester) and Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut).
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.