Plasma membrane nanoswitches generate high-fidelity Ras signal transduction T Tian, A Harding, K Inder, S Plowman, RG Parton, JF Hancock Nature cell biology 9 (8), 905-914, 2007 | 385 | 2007 |

Binomial leap methods for simulating stochastic chemical kinetics T Tian, K Burrage The Journal of chemical physics 121 (21), 10356-10364, 2004 | 376 | 2004 |

Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation M Barrio, K Burrage, A Leier, T Tian PLoS computational biology 2 (9), e117, 2006 | 285 | 2006 |

Stochastic models for regulatory networks of the genetic toggle switch T Tian, K Burrage Proceedings of the national Academy of Sciences 103 (22), 8372-8377, 2006 | 266 | 2006 |

Numerical methods for strong solutions of stochastic differential equations: an overview K Burrage, PM Burrage, T Tian Proceedings of the Royal Society of London. Series A: Mathematical, Physical …, 2004 | 208 | 2004 |

Subcellular localization determines MAP kinase signal output A Harding, T Tian, E Westbury, E Frische, JF Hancock Current biology 15 (9), 869-873, 2005 | 174 | 2005 |

Stochastic delay differential equations for genetic regulatory networks T Tian, K Burrage, PM Burrage, M Carletti Journal of Computational and Applied Mathematics 205 (2), 696-707, 2007 | 170 | 2007 |

A multi-scaled approach for simulating chemical reaction systems K Burrage, T Tian, P Burrage Progress in biophysics and molecular biology 85 (2-3), 217-234, 2004 | 151 | 2004 |

The origins of cancer robustness and evolvability T Tian, S Olson, JM Whitacre, A Harding Integrative Biology 3 (1), 17-30, 2011 | 150 | 2011 |

K-ras nanoclustering is subverted by overexpression of the scaffold protein galectin-3 R Shalom-Feuerstein, SJ Plowman, B Rotblat, N Ariotti, T Tian, ... Cancer research 68 (16), 6608-6616, 2008 | 130 | 2008 |

Simulated maximum likelihood method for estimating kinetic rates in gene expression T Tian, S Xu, J Gao, K Burrage Bioinformatics 23 (1), 84-91, 2007 | 111 | 2007 |

Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage λ T Tian, K Burrage Journal of Theoretical Biology 227 (2), 229-237, 2004 | 110 | 2004 |

Implicit Taylor methods for stiff stochastic differential equations T Tian, K Burrage Applied Numerical Mathematics 38 (1-2), 167-185, 2001 | 102 | 2001 |

Parallel computing for bioinformatics and computational biology: models, enabling technologies, and case studies AY Zomaya John Wiley & Sons, 2006 | 86 | 2006 |

The composite Euler method for stiff stochastic differential equations K Burrage, T Tian Journal of computational and applied mathematics 131 (1-2), 407-426, 2001 | 64 | 2001 |

Stochastic neural network models for gene regulatory networks T Tian, K Burrage The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 162-169, 2003 | 59 | 2003 |

A note on the stability properties of the Euler methods for solving stochastic differential equations K Burrage, T Tian New Zealand J. Math 29 (2), 115-127, 2000 | 57 | 2000 |

Mathematical modeling of K-Ras nanocluster formation on the plasma membrane T Tian, SJ Plowman, RG Parton, Y Kloog, JF Hancock Biophysical journal 99 (2), 534-543, 2010 | 51 | 2010 |

Two-stage stochastic Runge-Kutta methods for stochastic differential equations TH Tian, K Burrage BIT Numerical Mathematics 42 (3), 625-643, 2002 | 44 | 2002 |

Implicit stochastic Runge–Kutta methods for stochastic differential equations K Burrage, T Tian BIT Numerical Mathematics 44 (1), 21-39, 2004 | 42 | 2004 |