Stuart Johnston
Stuart Johnston
ARC DECRA Fellow, University of Melbourne
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Cited by
Cited by
Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model
ST Johnston, ET Shah, LK Chopin, DLS McElwain, MJ Simpson
BMC Systems Biology 9 (38), 2015
Mean-field descriptions of collective migration with strong adhesion
ST Johnston, MJ Simpson, RE Baker
Physical Review E 85 (5), 051922, 2012
How much information can be obtained from tracking the position of the leading edge in a scratch assay?
ST Johnston, MJ Simpson, DLS McElwain
Journal of the Royal Society Interface 11 (97), 20140325, 2014
Interpreting scratch assays using pair density dynamics and approximate Bayesian computation
ST Johnston, MJ Simpson, DLS McElwain, BJ Binder, JV Ross
Open Biology 4 (9), 140097, 2014
Quantifying the effect of experimental design choices for in vitro scratch assays
ST Johnston, JV Ross, BJ Binder, DLS McElwain, P Haridas, MJ Simpson
Journal of Theoretical Biology 400, 19-31, 2016
Self-Assembly of Nano-to Macroscopic Metal–Phenolic Materials
G Yun, QA Besford, ST Johnston, JJ Richardson, S Pan, M Biviano, ...
Chemistry of Materials 30 (16), 5750-5758, 2018
Lattice-free descriptions of collective motion with crowding and adhesion
ST Johnston, MJ Simpson, MJ Plank
Physical Review E 88 (6), 062720, 2013
Co-operation, competition and crowding: a discrete framework linking Allee kinetics, nonlinear diffusion, shocks and sharp-fronted travelling waves
ST Johnston, RE Baker, DLS McElwain, MJ Simpson
Scientific Reports 7 (1), 1-19, 2017
An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose
ST Johnston, M Faria, EJ Crampin
Journal of The Royal Society Interface 15 (144), 20180364, 2018
Modelling the movement of interacting cell populations: a moment dynamics approach
ST Johnston, MJ Simpson, RE Baker
Journal of Theoretical Biology 370, 81-92, 2015
Revisiting cell–particle association in vitro: A quantitative method to compare particle performance
M Faria, KF Noi, Q Dai, M Björnmalm, ST Johnston, K Kempe, F Caruso, ...
Journal of Controlled Release 307, 355-367, 2019
Selective Metal–Phenolic Assembly from Complex Multicomponent Mixtures
G Lin, MA Rahim, MG Leeming, C Cortez-Jugo, QA Besford, Y Ju, ...
ACS applied materials & interfaces 11 (19), 17714-17721, 2019
Filling the gaps: A robust description of adhesive birth-death-movement processes
ST Johnston, RE Baker, MJ Simpson
Physical Review E 93 (4), 042413, 2016
Isolating the sources of heterogeneity in nano-engineered particle–cell interactions
ST Johnston, M Faria, EJ Crampin
Journal of the Royal Society Interface 17 (166), 20200221, 2020
Corrected pair correlation functions for environments with obstacles
ST Johnston, EJ Crampin
Physical Review E 99 (3), 032124, 2019
The impact of short-and long-range perception on population movements
ST Johnston, KJ Painter
Journal of theoretical biology 460, 227-242, 2019
A new and accurate continuum description of moving fronts
ST Johnston, RE Baker, MJ Simpson
New Journal of Physics 19 (3), 033010, 2017
Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics
NT Fadai, ST Johnston, MJ Simpson
Proceedings of the Royal Society A 476 (2241), 20200350, 2020
Predicting population extinction in lattice-based birth–death–movement models
ST Johnston, MJ Simpson, EJ Crampin
Proceedings of the Royal Society A 476 (2238), 20200089, 2020
Dimensionality affects extinction of bistable populations
Y Li, ST Johnston, PR Buenzli, P van Heijster, MJ Simpson
arXiv preprint arXiv:2101.01389, 2021
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