| Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation M Sturrock, A Hellander, A Matzavinos, MAJ Chaplain Journal of The Royal Society Interface 10 (80), 20120988, 2013 | 85* | 2013 |
| Spatio-temporal modelling of the Hes1 and p53-Mdm2 intracellular signalling pathways M Sturrock, AJ Terry, DP Xirodimas, AM Thompson, MAJ Chaplain Journal of theoretical biology 273 (1), 15-31, 2011 | 85 | 2011 |
| Influence of the nuclear membrane, active transport, and cell shape on the Hes1 and p53–Mdm2 pathways: insights from spatio-temporal modelling M Sturrock, AJ Terry, DP Xirodimas, AM Thompson, MAJ Chaplain Bulletin of mathematical biology 74, 1531-1579, 2012 | 47 | 2012 |
| Hopf bifurcation in a gene regulatory network model: Molecular movement causes oscillations M Chaplain, M Ptashnyk, M Sturrock Mathematical Models and Methods in Applied Sciences 25 (06), 1179-1215, 2015 | 40 | 2015 |
| A spatio-temporal model of Notch signalling in the zebrafish segmentation clock: conditions for synchronised oscillatory dynamics AJ Terry, M Sturrock, JK Dale, M Maroto, MAJ Chaplain PLoS One 6 (2), e16980, 2011 | 35 | 2011 |
| The role of dimerisation and nuclear transport in the Hes1 gene regulatory network M Sturrock, A Hellander, S Aldakheel, L Petzold, MAJ Chaplain Bulletin of mathematical biology 76, 766-798, 2014 | 31 | 2014 |
| A mathematical model of pre-diagnostic glioma growth M Sturrock, W Hao, J Schwartzbaum, GA Rempala Journal of theoretical biology 380, 299-308, 2015 | 19 | 2015 |
| The influence of nuclear compartmentalisation on stochastic dynamics of self-repressing gene expression M Sturrock, S Li, V Shahrezaei Journal of theoretical biology 424, 55-72, 2017 | 13 | 2017 |
| Emergent expression of fitness-conferring genes by phenotypic selection M Ciechonska, M Sturrock, A Grob, G Larrouy-Maumus, V Shahrezaei, ... PNAS nexus 1 (3), pgac069, 2022 | 12* | 2022 |
| Heterogeneous responses to low level death receptor activation are explained by random molecular assembly of the Caspase-8 activation platform A Matveeva, M Fichtner, K McAllister, C McCann, M Sturrock, DB Longley, ... PLoS computational biology 15 (9), e1007374, 2019 | 12 | 2019 |
| Efficient Bayesian inference for stochastic agent-based models ACS Jørgensen, A Ghosh, M Sturrock, V Shahrezaei PLoS computational biology 18 (10), e1009508, 2022 | 11 | 2022 |
| Anti-angiogenic drug scheduling optimisation with application to colorectal cancer M Sturrock, IS Miller, G Kang, N Hannis Arba’ie, AC O’Farrell, A Barat, ... Scientific reports 8 (1), 11182, 2018 | 10 | 2018 |
| Identifying ultrasensitive HGF dose-response functions in a 3D mammalian system for synthetic morphogenesis VR Senthivel, M Sturrock, G Piedrafita, M Isalan Scientific Reports 6 (1), 39178, 2016 | 8 | 2016 |
| Mean field analysis of a spatial stochastic model of a gene regulatory network M Sturrock, PJ Murray, A Matzavinos, MAJ Chaplain Journal of mathematical biology 71, 921-959, 2015 | 8 | 2015 |
| Stochastic reaction–diffusion algorithms for macromolecular crowding M Sturrock Physical Biology 13 (3), 036010, 2016 | 5 | 2016 |
| Fine-mapping and association analysis of candidate genes for papilla number in sea cucumber, Apostichopus japonicus X Zhu, P Ni, M Sturrock, Y Wang, J Ding, Y Chang, J Hu, Z Bao Marine Life Science & Technology 4 (3), 343-355, 2022 | 4 | 2022 |
| A push-pull system of repressors matches levels of glucose transporters to extracellular glucose in budding yeast LF Montaño-Gutierrez, M Sturrock, I Farquhar, K Correia, V Shahrezaei, ... bioRxiv, 2021.04. 20.440667, 2021 | 3 | 2021 |
| Phenotypic selection through cell death: stochastic modelling of o-6-methylguanine-dna methyltransferase dynamics A Lasri, V Juric, M Verreault, F Bielle, A Idbaih, A Kel, B Murphy, ... Royal Society open science 7 (7), 191243, 2020 | 3 | 2020 |
| Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation A Coulier, P Singh, M Sturrock, A Hellander PLOS Computational Biology 18 (12), e1010683, 2022 | 2* | 2022 |
| Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation A Lasri, V Shahrezaei, M Sturrock BMC bioinformatics 23 (1), 236, 2022 | 2 | 2022 |
