Rebecca H. Chisholm
Rebecca H. Chisholm
Melbourne School of Population and Global Health, University of Melbourne
Verified email at unimelb.edu.au
TitleCited byYear
Emergence of drug tolerance in cancer cell populations: an evolutionary outcome of selection, nongenetic instability, and stress-induced adaptation
RH Chisholm, T Lorenzi, A Lorz, AK Larsen, LN de Almeida, A Escargueil, ...
Cancer research 75 (6), 930-939, 2015
692015
Cell population heterogeneity and evolution towards drug resistance in cancer: biological and mathematical assessment, theoretical treatment optimisation
RH Chisholm, T Lorenzi, J Clairambault
Biochimica et Biophysica Acta (BBA)-General Subjects 1860 (11), 2627-2645, 2016
422016
Building a morphogen gradient without diffusion in a growing tissue
RH Chisholm, BD Hughes, KA Landman
PloS one 5 (9), e12857, 2010
272010
Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations
T Lorenzi, RH Chisholm, J Clairambault
Biology direct 11 (1), 43, 2016
252016
Controlled fire use in early humans might have triggered the evolutionary emergence of tuberculosis
RH Chisholm, JM Trauer, D Curnoe, MM Tanaka
Proceedings of the National Academy of Sciences 113 (32), 9051-9056, 2016
232016
Dissecting the dynamics of epigenetic changes in phenotype-structured populations exposed to fluctuating environments
T Lorenzi, RH Chisholm, L Desvillettes, BD Hughes
Journal of theoretical biology 386, 166-176, 2015
232015
Growth patterns in Onychophora (velvet worms): lack of a localised posterior proliferation zone
G Mayer, C Kato, B Quast, RH Chisholm, KA Landman, LM Quinn
BMC evolutionary biology 10 (1), 339, 2010
202010
Effects of an advection term in nonlocal lotka–volterra equations
RH Chisholm, T Lorenzi, A Lorz
Communications in mathematical sciences 14 (4), 1181-1188, 2016
172016
Evolutionary dynamics of phenotype-structured populations: from individual-level mechanisms to population-level consequences
RH Chisholm, T Lorenzi, L Desvillettes, BD Hughes
Zeitschrift fŘr angewandte Mathematik und Physik 67 (4), 100, 2016
162016
Persistent infections in immunocompromised hosts are rarely sources of new pathogen variants
JS Eden, RH Chisholm, RA Bull, PA White, EC Holmes, MM Tanaka
Virus Evolution 3 (2), vex018, 2017
102017
The emergence of latent infection in the early evolution of Mycobacterium tuberculosis
RH Chisholm, MM Tanaka
Proceedings of the Royal Society B: Biological Sciences 283 (1831), 20160499, 2016
82016
Mathematical model reveals how regulating the three phases of T‐cell response could counteract immune evasion
T Lorenzi, RH Chisholm, M Melensi, A Lorz, M Delitala
Immunology 146 (2), 271-280, 2015
82015
Implications of asymptomatic carriers for infectious disease transmission and control
RH Chisholm, PT Campbell, Y Wu, SYC Tong, J McVernon, N Geard
Royal Society open science 5 (2), 172341, 2018
52018
Analytic study of three-dimensional single cell migration with and without proteolytic enzymes
RH Chisholm, BD Hughes, KA Landman, MH Zaman
Cellular and molecular bioengineering 6 (2), 239-249, 2013
42013
When are cellular oscillators sufficient for sequential segmentation?
RH Chisholm, BD Hughes, KA Landman, G Mayer, PM Whitington
Journal of theoretical biology 279 (1), 150-160, 2011
42011
Erosion by a one-dimensional random walk
RH Chisholm, BD Hughes, KA Landman
Physical Review E 90 (2), 022140, 2014
32014
The role of pleiotropy in the evolutionary maintenance of positive niche construction
RH Chisholm, BD Connelly, B Kerr, MM Tanaka
The American Naturalist 192 (1), 35-48, 2018
22018
Epidemiological consequences of enduring strain-specific immunity requiring repeated episodes of infection
RH Chisholm, N Sonenberg, JA Lacey, MI McDonald, M Pandey, ...
BioRxiv, 674135, 2019
2019
Why is evolution important in cancer and what mathematics should be used to treat cancer? focus on drug resistance
L Almeida, RH Chisholm, J Clairambault, T Lorenzi, A Lorz, C Pouchol, ...
Trends in Biomathematics: Modeling, Optimization and Computational Problemsá…, 2018
2018
Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations
R Chisholm, T Lorenzi, J Clairambault
2016
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Articles 1–20