J. David Van Dyken

Biochemistry, Genetics and Molecular Biology · Indiana University

Evolution and Genetic Dynamics Evolutionary Game Theory and Cooperation Plant and animal studies Ecology and Vegetation Dynamics Studies Genetic diversity and population structure

Publications

Citations

1,356

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2007

Research summary

AI-generated

J. David Van Dyken studies how evolution shapes cooperation, cell behavior, and population dynamics, often using microbes such as yeast, bacteria (including Myxococcus xanthus), and E. coli as experimental models. The work combines mathematical and theoretical modeling with laboratory experiments to understand topics like programmed cell death, mutation rates, and how populations grow and spread across space. Some recent projects also explore nanoparticle-based tools, such as carbon dots for drug delivery and antifungal applications.

Evolution of cooperation in microbesPopulation and metapopulation dynamicsNoise in biochemical reaction networksCarrying capacity and spatial spread of populationsNanoparticle-based delivery and antifungal agents

Publication activity was highest around 2017 and has been intermittent since, with a small cluster of papers appearing again in 2024.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 0.6/year recently

Recent publications

Disentangling the Factors Selecting for Unicellular Programmed Cell Death
The American Naturalist · 2024
Mutation Rate and Effective Population Size of the Model Cooperative Bacterium Myxococcus xanthus
Genome Biology and Evolution · 2024
Cytotoxicity and resistance evolution of a novel antifungal carbon nanoparticle
bioRxiv (Cold Spring Harbor Laboratory) · 2024
Crossing the blood–brain barrier with carbon dots: uptake mechanism and in vivo cargo delivery
Nanoscale Advances · 2021
The optimal controlling strategy on a dispersing population in a two-patch system: Experimental and theoretical perspectives
Journal of Theoretical Biology · 2021
Effect of Stressors on the Carrying Capacity of Spatially Distributed Metapopulations
The American Naturalist · 2020
An inexpensive, high-throughput μPAD assay of microbial growth rate and motility on solid surfaces using Saccharomyces cerevisiae and Escherichia coli as model organisms
PLoS ONE · 2020
Evolutionary Rescue from a Wave of Biological Invasion
The American Naturalist · 2019
Carrying capacity of a spatially-structured population: Disentangling the effects of dispersal, growth parameters, habitat heterogeneity and habitat clustering
Journal of Theoretical Biology · 2018
Carrying capacity in a heterogeneous environment with habitat connectivity
Ecology Letters · 2017
Microbial expansion-collision dynamics promote cooperation and coexistence on surfaces
Evolution · 2017
Noise slows the rate of Michaelis–Menten reactions
Journal of Theoretical Biology · 2017
Propagation and control of gene expression noise with non-linear translation kinetics
Journal of Theoretical Biology · 2017
Budding Yeast: A Laboratory Manual. Edited by Brenda Andrews, Charles Boone, Trisha N. Davis, and Stanley Fields. Cold Spring Harbor (New York): Cold Spring Harbor Laboratory Press. $150.00 (hardcover); $90.00 (paper). xviii + 706 p.; ill.; index. ISBN: 978-1-621820-55-0 (hc); 978-1-621820-56-7 (pb). 2016.
The Quarterly Review of Biology · 2017
Fitness costs of noise in biochemical reaction networks and the evolutionary limits of cellular robustness
bioRxiv (Cold Spring Harbor Laboratory) · 2016

Publishes in

Journal of Theoretical Biology×4
The American Naturalist×3
bioRxiv (Cold Spring Harbor Laboratory)×2
Ecology Letters×1
Nanoscale Advances×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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