LabCompass

Michael J. Wade

Agricultural and Biological Sciences · Indiana University

OpenAlex ORCID
Plant and animal studiesEvolution and Genetic DynamicsAnimal Behavior and ReproductionEvolutionary Game Theory and CooperationGenetic diversity and population structure

Publications

290

Citations

21,122

Est. group size

—

Recurring co-author estimate

Active years

50

Publishing since 1976

Research summary
AI-generated

Michael J. Wade studies evolutionary biology and genetics, with a focus on how natural selection operates when organisms interact with each other and modify their environments. His work covers topics such as the interplay between genes inherited from parents (including conflicts between mitochondrial and nuclear DNA), mating systems, parental care, and mathematical models of how populations evolve. Much of his research uses theoretical and quantitative approaches to understand the dynamics of adaptation and evolutionary change.

Evolutionary genetics and selectionNiche construction and environmental effects on evolutionMating systems and reproductive strategiesGenetic conflict (mitochondrial-nuclear, sex chromosomes)Parental care and social evolution

Publication activity has been variable but generally modest over the last decade, with a peak around 2021 and lower output in the most recent years, averaging about 2.2 papers per year over the past five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 6 publications172018: 5 publications182019: 3 publications192020: 2 publications202021: 7 publications7212022: 4 publications222023: 4 publications232024: 1 publication242025: 2 publications2526
Recent publications
Publishes in
  • Evolution×4
  • Ecology and Evolution×4
  • bioRxiv (Cold Spring Harbor Laboratory)×4
  • Science×2
  • The American Naturalist×2

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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