Stefan Schuster

10.3k total citations · 2 hit papers
99 papers, 5.7k citations indexed

About

Stefan Schuster is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Stefan Schuster has authored 99 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 15 papers in Biomedical Engineering and 9 papers in Cancer Research. Recurrent topics in Stefan Schuster's work include Microbial Metabolic Engineering and Bioproduction (56 papers), Gene Regulatory Network Analysis (30 papers) and Bioinformatics and Genomic Networks (19 papers). Stefan Schuster is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (56 papers), Gene Regulatory Network Analysis (30 papers) and Bioinformatics and Genomic Networks (19 papers). Stefan Schuster collaborates with scholars based in Germany, United Kingdom and United States. Stefan Schuster's co-authors include David A. Fell, Thomas Dandekar, Claus C. Hilgetag, Steffen Klamt, Christoph Kaleta, Luís F. de Figueiredo, Ernst Dieter Gilles, Axel von Kamp, Katja Bettenbrock and Jörg Stelling and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Stefan Schuster

95 papers receiving 5.6k citations

Hit Papers

A general definition of metabolic pathways useful for sys... 2000 2026 2008 2017 2000 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Schuster Germany 37 4.9k 1.3k 447 300 230 99 5.7k
Jeremy S. Edwards United States 33 6.2k 1.2× 1.8k 1.4× 734 1.6× 373 1.2× 207 0.9× 108 6.9k
Christopher S. Henry United States 34 5.0k 1.0× 1.7k 1.3× 449 1.0× 242 0.8× 213 0.9× 88 6.0k
Jason A. Papin United States 47 5.9k 1.2× 1.6k 1.2× 581 1.3× 162 0.5× 437 1.9× 141 7.2k
Jeffrey D. Orth United States 9 5.2k 1.1× 2.0k 1.6× 520 1.2× 312 1.0× 149 0.6× 10 5.6k
Wolfram Liebermeister Germany 30 4.4k 0.9× 684 0.5× 752 1.7× 112 0.4× 175 0.8× 59 5.3k
Stefan Schuster Germany 39 3.9k 0.8× 492 0.4× 678 1.5× 128 0.4× 120 0.5× 149 6.0k
Frank J. Bruggeman Netherlands 38 4.0k 0.8× 538 0.4× 712 1.6× 70 0.2× 246 1.1× 124 4.9k
Vassily Hatzimanikatis Switzerland 54 7.4k 1.5× 2.4k 1.8× 639 1.4× 512 1.7× 392 1.7× 158 8.6k
Wolfgang Wiechert Germany 49 6.8k 1.4× 2.3k 1.8× 555 1.2× 342 1.1× 118 0.5× 270 8.2k
Edda Klipp Germany 39 4.4k 0.9× 495 0.4× 358 0.8× 111 0.4× 264 1.1× 161 5.4k

Countries citing papers authored by Stefan Schuster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stefan Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schuster. A scholar is included among the top collaborators of Stefan Schuster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Schuster. Stefan Schuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schuster, Stefan, et al.. (2025). How hosts and pathogens choose the strengths of defense and counterdefense: a game-theoretical view. Frontiers in Ecology and Evolution. 12.
2.
Limaye, Sewanti, et al.. (2023). Accurate prostate cancer detection based on enrichment and characterization of prostate cancer specific circulating tumor cells. Cancer Medicine. 12(8). 9116–9127. 12 indexed citations
3.
Schuster, Stefan, et al.. (2023). Was die Liquid Biopsy über Krebs verrät. PubMed Central. 28(3). 20–23.
4.
Crook, Timothy, Robert Leonard, Kefah Mokbel, et al.. (2022). Accurate Screening for Early-Stage Breast Cancer by Detection and Profiling of Circulating Tumor Cells. Cancers. 14(14). 3341–3341. 24 indexed citations
5.
Ewald, Jan, et al.. (2021). Dynamic optimization reveals alveolar epithelial cells as key mediators of host defense in invasive aspergillosis. PLoS Computational Biology. 17(12). e1009645–e1009645. 13 indexed citations
6.
Schuster, Stefan, Jan Ewald, & Christoph Kaleta. (2021). Modeling the energy metabolism in immune cells. Current Opinion in Biotechnology. 68. 282–291. 19 indexed citations
7.
Schuster, Stefan. (2017). A New Solution Concept for the Ultimatum Game leading to the Golden Ratio. Scientific Reports. 7(1). 5642–5642. 18 indexed citations
8.
Bohl, Katrin, Sarah Werner, David Basanta, et al.. (2014). Evolutionary game theory: molecules as players. Molecular BioSystems. 10(12). 3066–3074. 32 indexed citations
9.
Kaleta, Christoph, Luís F. de Figueiredo, Sarah Werner, et al.. (2011). In Silico Evidence for Gluconeogenesis from Fatty Acids in Humans. PLoS Computational Biology. 7(7). e1002116–e1002116. 34 indexed citations
10.
Bohl, Katrin, Luís F. de Figueiredo, Oliver Hädicke, et al.. (2010). CASOP GS : Computing intervention strategies targeted at production improvement in genome-scale metabolic networks. Max Planck Institute for Plasma Physics. 71–80. 15 indexed citations
11.
Ruppin, Eytan, Jason A. Papin, Luís F. de Figueiredo, & Stefan Schuster. (2010). Metabolic reconstruction, constraint-based analysis and game theory to probe genome-scale metabolic networks. Current Opinion in Biotechnology. 21(4). 502–510. 67 indexed citations
12.
Schuster, Stefan, Jan‐Ulrich Kreft, Naama Brenner, et al.. (2010). Cooperation and cheating in microbial exoenzyme production – Theoretical analysis for biotechnological applications. Biotechnology Journal. 5(7). 751–758. 28 indexed citations
13.
Figueiredo, Luís F. de, et al.. (2009). Computing Elementary Flux Modes in Genome-scale Metabolic Networks.. 83(10). 179–189. 3 indexed citations
14.
Meilijson, Isaac, et al.. (2008). Can single knockouts accurately single out gene functions?. BMC Systems Biology. 2(1). 50–50. 39 indexed citations
15.
Schuster, Stefan, et al.. (2002). Reaction routes in biochemical reaction systems: Algebraic properties, validated calculation procedure and example from nucleotide metabolism. Journal of Mathematical Biology. 45(2). 153–181. 143 indexed citations
16.
Schuster, Stefan, et al.. (2002). Treatment of multifunctional enzymes in metabolic pathway analysis. Biophysical Chemistry. 99(1). 63–75. 5 indexed citations
17.
Schuster, Stefan, Thomas Pfeiffer, F. Moldenhauer, Ina Koch, & Thomas Dandekar. (2000). Structural analysis of metabolic networks: elementary flux modes, analogy to petri nets, and application to Mycoplasma pneumoniae. 115–120. 10 indexed citations
18.
Zahn, Ralf, Rudolf Schiele, K. Seidl, et al.. (1999). Primary angioplasty in acute myocardial infarction: differences between referred patients and those treated in hospitals with on-site facilities?. PubMed. 11(4). 213–9. 8 indexed citations
19.
Schuster, Stefan, et al.. (1999). Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. Trends in biotechnology. 17(2). 53–60. 474 indexed citations
20.
Schuster, Stefan. (1999). Use and Limitations of Modular Metabolic Control Analysis in Medicine and Biotechnology. Metabolic Engineering. 1(3). 232–242. 24 indexed citations

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.

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