| 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 | 443 | 2007 |
| Binomial leap methods for simulating stochastic chemical kinetics T Tian, K Burrage The Journal of chemical physics 121 (21), 10356-10364, 2004 | 398 | 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 | 325 | 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 | 308 | 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 | 237 | 2004 |
| The origins of cancer robustness and evolvability T Tian, S Olson, JM Whitacre, A Harding Integrative Biology 3 (1), 17-30, 2011 | 203 | 2011 |
| 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 | 193 | 2007 |
| Subcellular localization determines MAP kinase signal output A Harding, T Tian, E Westbury, E Frische, JF Hancock Current biology 15 (9), 869-873, 2005 | 190 | 2005 |
| 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 | 164 | 2004 |
| 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 | 160 | 2008 |
| Implicit Taylor methods for stiff stochastic differential equations T Tian, K Burrage Applied Numerical Mathematics 38 (1-2), 167-185, 2001 | 127 | 2001 |
| 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 | 124 | 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 | 116 | 2004 |
| Transmission dynamics and control strategies of COVID-19 in Wuhan, China L Pang, S Liu, X Zhang, T Tian, Z Zhao Journal of Biological Systems 28 (03), 543-560, 2020 | 82 | 2020 |
| Development of stock correlation networks using mutual information and financial big data X Guo, H Zhang, T Tian PloS one 13 (4), e0195941, 2018 | 81 | 2018 |
| 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 | 78 | 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 | 62 | 2003 |
| A note on the stability properties of the Euler methods for solving stochastic differential equations K Burrage, T Tian New Zealand Journal of Mathematics 29, 115-127, 2000 | 59 | 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 | 54 | 2010 |
| Spatial correlation network and regional differences for the development of digital economy in China L Tang, B Lu, T Tian Entropy 23 (12), 1575, 2021 | 52 | 2021 |
kevin burrageProfessor Computational Mathematics, Queensland University of Technology在 qut.edu.au 的电子邮件经过验证
