World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
6706
World Ranking
4695
National Ranking
252

Overview

Matthew J. Simpson is affiliated with the Queensland University of Technology in Australia. Their research spans areas including Biochemistry, Genetics and Molecular Biology, and Mathematics. Within these broader fields, the scientist has contributed to subfields such as Molecular Biology, Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, and Cell Biology.

The scientist's work focuses on topics that include Mathematical Biology Tumor Growth, Mathematical and Theoretical Epidemiology and Ecology Models, Gene Regulatory Network Analysis, Evolution and Genetic Dynamics, Cellular Mechanics and Interactions, Cancer Cells and Metastasis, and 3D Printing in Biomedical Research.

Matthew J. Simpson has authored multiple papers, with recent publications including:

  • Practical parameter identifiability for spatio-temporal models of cell invasion, 2020, Journal of The Royal Society Interface
  • Parameter identifiability and model selection for sigmoid population growth models, 2021, Journal of Theoretical Biology
  • Biologically-informed neural networks guide mechanistic modeling from sparse experimental data, 2020, PLoS Computational Biology
  • Cell proliferation and migration explain pore bridging dynamics in 3D printed scaffolds of different pore size, 2020, Acta Biomaterialia
  • Identifiability analysis for stochastic differential equation models in systems biology, 2020, Journal of The Royal Society Interface

The venues where the scientist has frequently published include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Journal of The Royal Society Interface
  • Bulletin of Mathematical Biology
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences

Collaboration is a notable aspect of their career with frequent co-authors including Pascal R. Buenzli, Ryan J. Murphy, Ruth E. Baker, Oliver J. Maclaren, and Scott W. McCue.

Best Publications

  • Does sea-level rise have an impact on saltwater intrusion?

    Sun Woo Chang;T. Prabhakar Clement;Matthew J. Simpson;Kang-Kun Lee

  • Cell proliferation drives neural crest cell invasion of the intestine.

    Matthew J. Simpson;Dong C. Zhang;Michael Mariani;Kerry A. Landman

  • Theoretical analysis of the worthiness of Henry and Elder problems as benchmarks of density-dependent groundwater flow models

    M.J. Simpson;T.P. Clement;T.P. Clement

  • Improving the worthiness of the Henry problem as a benchmark for density-dependent groundwater flow models

    Matthew J. Simpson;T. Prabhakar Clement

  • Multi-species simple exclusion processes

    Matthew J. Simpson;Kerry A. Landman;Barry D. Hughes

  • Cell invasion with proliferation mechanisms motivated by time-lapse data

    Matthew J. Simpson;Kerry A. Landman;Barry D. Hughes

  • Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

    John H. Lagergren;John T. Nardini;John T. Nardini;Ruth E. Baker;Matthew J. Simpson

  • Simulating invasion with cellular automata: connecting cell-scale and population-scale properties.

    Matthew J. Simpson;Alistair Merrifield;Kerry A. Landman;Barry D. Hughes

  • Reproducibility of scratch assays is affected by the initial degree of confluence: Experiments, modelling and model selection.

    Wang Jin;Esha T. Shah;Catherine J. Penington;Scott W. McCue

  • Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model

    Stuart T. Johnston;Esha T. Shah;Lisa K. Chopin;D. L. Sean McElwain

  • Cell proliferation and migration explain pore bridging dynamics in 3D printed scaffolds of different pore size

    Pascal R. Buenzli;Matthew Lanaro;Cynthia S. Wong;Maximilian P. McLaughlin

  • Sensitivity of Edge Detection Methods for Quantifying Cell Migration Assays

    Katrina K. Treloar;Matthew J. Simpson

  • Identifiability analysis for stochastic differential equation models in systems biology.

    Alexander P. Browning;David J. Warne;Kevin Burrage;Ruth E. Baker

  • Looking inside an invasion wave of cells using continuum models: Proliferation is the key

    Matthew J. Simpson;Kerry A. Landman;Barry D. Hughes;Donald F. Newgreen

  • Colonizing while migrating: how do individual enteric neural crest cells behave?

    Heather M Young;Annette J Bergner;Matthew J Simpson;Sonja J McKeown

  • How much information can be obtained from tracking the position of the leading edge in a scratch assay

    Stuart T. Johnston;Matthew J. Simpson;D. L. Sean McElwain

  • Using Experimental Data and Information Criteria to Guide Model Selection for Reaction–Diffusion Problems in Mathematical Biology

    David J Warne;Ruth E Baker;Matthew J Simpson

  • Are in vitro estimates of cell diffusivity and cell proliferation rate sensitive to assay geometry

    Katrina K. Treloar;Matthew J. Simpson;D.L. Sean McElwain;Ruth E. Baker

  • Mathematical and experimental insights into the development of the enteric nervous system and Hirschsprung's disease.

    Kerry A. Landman;Matthew J. Simpson;Donald F. Newgreen

  • Revisiting the Fisher-Kolmogorov-Petrovsky-Piskunov equation to interpret the spreading-extinction dichotomy

    Maud El-Hachem;Scott W. McCue;Wang Jin;Yihong Du

  • Nonlinear diffusion and exclusion processes with contact interactions.

    Anthony E. Fernando;Kerry A. Landman;Matthew J. Simpson

Frequent Co-Authors

Kevin Burrage
Kevin Burrage Queensland University of Technology
Nikolas K. Haass
Nikolas K. Haass University of Queensland
Donald F. Newgreen
Donald F. Newgreen Royal Children's Hospital
Philip K. Maini
Philip K. Maini University of Oxford
Michael S. Roberts
Michael S. Roberts University of Queensland
Edmund J. Crampin
Edmund J. Crampin University of Melbourne
Eamonn A. Gaffney
Eamonn A. Gaffney University of Oxford
Erik W. Thompson
Erik W. Thompson Queensland University of Technology
Yihong Du
Yihong Du University of New England
Kerrie Mengersen
Kerrie Mengersen Queensland University of Technology

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