| Phenotypic heterogeneity promotes adaptive evolution Z Bódi, Z Farkas, D Nevozhay, D Kalapis, V Lázár, B Csörgő, Á Nyerges, ... PLoS biology 15 (5), e2000644, 2017 | 167 | 2017 |
| Stochastic simulation in systems biology T Székely Jr, K Burrage Computational and structural biotechnology journal 12 (20-21), 14-25, 2014 | 145 | 2014 |
| Cell fate decisions emerge as phages cooperate or compete inside their host JT Trinh, T Székely, Q Shao, G Balázsi, L Zeng Nature communications 8 (1), 1-13, 2017 | 85 | 2017 |
| Persistent unequal sex ratio in a population of grayling (Salmonidae) and possible role of temperature increase C Wedekind, G Evanno, T Székely, M Pompini, O Darbellay, J Guthruf Conservation Biology 27 (1), 229-234, 2013 | 58 | 2013 |
| Generational distribution of a Candida glabrata population: Resilient old cells prevail, while younger cells dominate in the vulnerable host T Bouklas, L Alonso-Crisóstomo, T Székely Jr, E Diago-Navarro, EP Orner, ... PLoS pathogens 13 (5), e1006355, 2017 | 35 | 2017 |
| Stochastic dynamics of interacting haematopoietic stem cell niche lineages T Székely Jr, K Burrage, M Mangel, MB Bonsall PLoS computational biology 10 (9), e1003794, 2014 | 17 | 2014 |
| Correction: Phenotypic heterogeneity promotes adaptive evolution Z Bódi, Z Farkas, D Nevozhay, D Kalapis, V Lázár, B Csörgő, Á Nyerges, ... PLoS biology 15 (6), e1002607, 2017 | 13 | 2017 |
| A higher-order numerical framework for stochastic simulation of chemical reaction systems T Székely, K Burrage, R Erban, KC Zygalakis BMC Systems Biology 6 (1), 1-19, 2012 | 11 | 2012 |
| Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method T Székely, K Burrage, KC Zygalakis, M Barrio BMC systems biology 8 (1), 1-18, 2014 | 8 | 2014 |
| Beyond Promoters: How Genes Tweak Their Own Expression T Székely Jr, G Balázsi Trends in Genetics 34 (10), 733-735, 2018 | | 2018 |
