| Kinetic foundation of the zero-inflated negative binomial model for single-cell RNA sequencing data C Jia SIAM Journal on Applied Mathematics 80 (3), 1336-1355, 2020 | 111* | 2020 |
| Frequency domain analysis of fluctuations of mRNA and protein copy numbers within a cell lineage: theory and experimental validation C Jia, R Grima Physical Review X 11 (2), 021032, 2021 | 52 | 2021 |
| Small protein number effects in stochastic models of autoregulated bursty gene expression C Jia, R Grima The Journal of Chemical Physics 152 (8), 084115, 2020 | 50 | 2020 |
| Emergent Lévy behavior in single-cell stochastic gene expression C Jia, MQ Zhang, H Qian Physical Review E 96 (4), 040402, 2017 | 45 | 2017 |
| Dynamical phase diagram of an auto-regulating gene in fast switching conditions C Jia, R Grima The Journal of Chemical Physics 152 (17), 174110, 2020 | 40 | 2020 |
| Stochastic fluctuations can reveal the feedback signs of gene regulatory networks at the single-molecule level C Jia, P Xie, M Chen, MQ Zhang Scientific Reports 7 (1), 1-9, 2017 | 40 | 2017 |
| Simplification of Markov chains with infinite state space and the mathematical theory of random gene expression bursts C Jia Physical Review E 96 (3), 032402, 2017 | 38 | 2017 |
| Cell size distribution of lineage data: analytic results and parameter inference C Jia, A Singh, R Grima iScience 24 (3), 102220, 2021 | 36 | 2021 |
| Concentration fluctuations in growing and dividing cells: insights into the emergence of concentration homeostasis C Jia, A Singh, R Grima PLOS Computational Biology 18 (10), e1010574, 2022 | 35* | 2022 |
| Single-cell stochastic gene expression kinetics with coupled positive-plus-negative feedback C Jia, LY Wang, GG Yin, MQ Zhang Physical Review E 100 (5), 052406, 2019 | 35 | 2019 |
| Modeling stochastic phenotype switching and bet-hedging in bacteria: stochastic nonlinear dynamics and critical state identification C Jia, MP Qian, Y Kang, DQ Jiang Quantitative Biology 2 (3), 110–125, 2014 | 32 | 2014 |
| Relaxation rates of gene expression kinetics reveal the feedback signs of autoregulatory gene networks C Jia, H Qian, M Chen, MQ Zhang The Journal of Chemical Physics 148 (9), 095102, 2018 | 31 | 2018 |
| A solution to the reversible embedding problem for finite Markov chains C Jia Statistics & Probability Letters 116, 122-130, 2016 | 29 | 2016 |
| Coupling gene expression dynamics to cell size dynamics and cell cycle events: exact and approximate solutions of the extended telegraph model C Jia, R Grima iScience 26 (1), 105746, 2023 | 23* | 2023 |
| Cycle symmetries and circulation fluctuations for discrete-time and continuous-time Markov chains C Jia, DQ Jiang, MP Qian The Annals of Applied Probability 26 (4), 2454-2493, 2016 | 21 | 2016 |
| Overshoot in biological systems modelled by Markov chains: a non-equilibrium dynamic phenomenon C Jia, M Qian, D Jiang IET Systems Biology 8 (4), 138-145, 2014 | 21 | 2014 |
| Analytical time-dependent distributions for gene expression models with complex promoter switching mechanisms C Jia, Y Li SIAM Journal on Applied Mathematics 83 (4), 1572-1602, 2023 | 20 | 2023 |
| Moderate maximal inequalities for the Ornstein-Uhlenbeck process C Jia, G Zhao Proceedings of the American Mathematical Society 148 (8), 3607-3615, 2020 | 19 | 2020 |
| Model simplification and loss of irreversibility C Jia Physical Review E 93 (5), 052149, 2016 | 18 | 2016 |
| Kinetic behavior of the general modifier mechanism of Botts and Morales with non-equilibrium binding C Jia, XF Liu, MP Qian, DQ Jiang, YP Zhang Journal of Theoretical Biology 296, 13-20, 2012 | 16 | 2012 |
Ramon GrimaProfessor of Computational Biology, University of Edinburgh, UK在 ed.ac.uk 的电子邮件经过验证
