| Quantitative Analysis of Glycerol Accumulation, Glycolysis and Growth under Hyper Osmotic Stress E Petelenz-Kurdziel, C Kuehn, B Nordlander, D Klein, KK Hong, ... PLoS Computational Biology 9, e1003084, 2013 | 117 | 2013 |
| Monte carlo analysis of an ode model of the sea urchin endomesoderm network C Kühn, C Wierling, A Kühn, E Klipp, G Panopoulou, H Lehrach, ... BMC systems biology 3, 1-18, 2009 | 35 | 2009 |
| The PKA‐CREB system encoded by the honeybee genome D Eisenhardt, C Kühn, G Leboulle Insect molecular biology 15 (5), 551-561, 2006 | 29 | 2006 |
| Assessing the advantage of morphological changes in Candida albicans: a game theoretical study KM Tyc, C Kühn, D Wilson, E Klipp Frontiers in Microbiology 5, 70357, 2014 | 22 | 2014 |
| Zooming in on yeast osmoadaptation C Kühn, E Klipp Advances in systems biology, 293-310, 2012 | 18 | 2012 |
| Formal representation of the high osmolarity glycerol pathway in yeast C Kühn, KVS Prasad, E Klipp, P Gennemark Genome Informatics 2009: Genome Informatics Series Vol. 22, 69-83, 2010 | 18 | 2010 |
| Bud-Localization of CLB2 mRNA Can Constitute a Growth Rate Dependent Daughter Sizer TW Spiesser, C Kühn, M Krantz, E Klipp PLoS Comput Biol 11 (4), e1004223, 2015 | 16 | 2015 |
| Computational modeling to quantify the contributions of VEGFR1, VEGFR2, and lateral inhibition in sprouting angiogenesis C Kühn, S Checa Frontiers in physiology 10, 390663, 2019 | 14 | 2019 |
| Dynamic metabolic models in context: Biomass backtracking K Tummler, C Kuehn, E Klipp Integrative Biology, 2015 | 13 | 2015 |
| Exploring the impact of osmoadaptation on glycolysis using time-varying response-coefficients C Kühn, E Petelenz, B Nordlander, J Schaber, S Hohmann, E Klipp Genome Informatics 20, 77-90, 2008 | 13 | 2008 |
| Rule-based modeling of labor market dynamics: an introduction C Kühn, K Hillmann Journal of Economic Interaction and Coordination 11, 57-76, 2016 | 8 | 2016 |
| The MYpop toolbox: Putting yeast stress responses in cellular context on single cell and population scales T Spiesser, C Kühn, M Krantz, E Klipp Biotechnology journal 11 (9), 1158-1168, 2016 | 5 | 2016 |
| Modeling development: spikes of the sea urchin C Kühn, A KUHN, AJ Poustka, E Klipp Genome Informatics 18, 75-84, 2007 | 5 | 2007 |
| Dosage and dose schedule screening of drug combinations in agent-based models reveals hidden synergies LC Barros de Andrade e Sousa, C Kühn, KM Tyc, E Klipp Frontiers in physiology 6, 159849, 2016 | 4 | 2016 |
| Modeling and analysis of yeast osmoadaptation in cellular context C Kühn Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2011 | 4 | 2011 |
| Two parallel pathways implement robust propionate catabolism and detoxification in mycobacteria K Tummler, M Zimmermann, OT Schubert, R Aebersold, C Kühn, U Sauer, ... bioRxiv, 258947, 2018 | 2 | 2018 |
| MODELLING YEAST OSMOADAPTATION AT DIFFERENT LEVELS OF RESOLUTION C KÜHN, P GENNEMARK Journal of Bioinformatics and Computational Biology, 2013 | 2 | 2013 |
| Rule-Based Modeling of Labor Market Dynamics C Kühn, K Hillmann Available at SSRN 1666891, 2010 | 2 | 2010 |
| Mathematical modeling of a sea urchin gene regulatory network C Kühn Freie Universität Berlin, 2007 | 2 | 2007 |
| Supplementary Text on Parameter Estimation TW Spiesser, C Kühn, M Krantz, E Klipp | | |
