Stefan Schuster
- Molecular Biology top 2%
- Microbial Metabolic Engineering and Bioproduction 29
- Gene Regulatory Network Analysis 29
- Protein Structure and Dynamics 20
- RNA and protein synthesis mechanisms 9
- Aging top 5%
- Cancer Research top 5%
- Genetics top 5%
- Evolution and Genetic Dynamics 12
- Bacterial Genetics and Biotechnology 7
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- Photoreceptor and optogenetics research 11
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
Stefan Schuster
144 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Biology 3.9k
- Aging 62
- Cancer Research 410
- Genetics 678
- Statistical and Nonlinear Physics 255
Countries citing papers authored by Stefan Schuster
This map shows the geographic impact of Stefan Schuster'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 Stefan Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schuster more than expected).
Fields of papers citing papers by Stefan Schuster
This network shows the impact of papers produced by Stefan Schuster. 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 Stefan Schuster. The network helps show where Stefan Schuster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Schuster, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 13 | |
| 10 | Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs | 2015 | 2 |
| 11 | 2015 | 47 | |
| 12 | 2014 | 84 | |
| 13 | Lebensformen - Leben formen : Ethik und synthetische Biologie | 2014 | 1 |
| 14 | 2013 | 22 | |
| 15 | 2012 | 51 | |
| 16 | Just-in-time activation of a glycolysis inspired metabolic network - solution with a dynamic optimization approach | 2010 | 0 |
| 17 | Model-based optimization to explain liver zonation in nitrogen metabolism | 2010 | 3 |
| 18 | 2000 | 35 | |
| 19 | Simulation and analysis of metabolic networks by time-dependent Petri nets. | 1999 | 4 |
| 20 | 1987 | 1 |
About Stefan Schuster
Stefan Schuster is a scholar working on Aging, Molecular Biology, Biological Psychiatry, Internal Medicine and Biochemistry, having authored 149 papers that have together received 6.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (29 papers), Gene Regulatory Network Analysis (29 papers), Protein Structure and Dynamics (20 papers), Evolution and Genetic Dynamics (12 papers), Photoreceptor and optogenetics research (11 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Aging (62 citations), Cancer Research (410 citations), Genetics (678 citations) and Statistical and Nonlinear Physics (255 citations). Stefan Schuster has collaborated with scholars based in Germany, Slovenia and United States. Frequent co-authors include Reinhart Heinrich, Thomas Pfeiffer, Sebastian Bonhoeffer, Marko Marhl, Thomas Höfer, R. Heinrich, Gerhard J. Herndl, R. Schuster, Bernhard Ø. Palsson and Christophe H. Schilling. Their work appears in journals such as Journal of Theoretical Biology, Biosystems, Scientific Reports, Biophysical Chemistry and FEBS Letters.
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.