LabCompass

King‐Yeung Lam

Medicine · The Ohio State University

Established · publishing since 1990

Publications

101

Citations

2,242

Est. group size

Recurring co-author estimate

Active years

37

Publishing since 1990

Research summary
AI-generated

King-Yeung Lam works in mathematical biology, using tools from partial differential equations and dynamical systems to study how populations move, evolve, and interact in changing or unevenly distributed environments. His work covers topics such as how species disperse and compete for resources, how migration and movement strategies evolve, and how mathematical models can describe the spread of populations under shifting environmental conditions like climate change. This research is highly mathematical and theoretical, aiming to build rigorous models rather than to conduct laboratory or clinical experiments.

Reaction-diffusion equations and population spreadEvolution of movement and dispersal strategiesPredator-prey and competition dynamics in patchy environmentsMathematical modeling of ecological and evolutionary processesMean field games and optimal control in biology

Publication output has remained fairly steady over the last decade, with some year-to-year fluctuation (a peak of 15 in 2022) but a consistent average of about 7-8 papers per year in the most recent five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.8/year recently
2017: 7 publications172018: 6 publications182019: 6 publications192020: 10 publications202021: 9 publications212022: 15 publications15222023: 5 publications232024: 9 publications242025: 8 publications252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×12
  • Lecture notes on mathematical modelling in the life sciences×11
  • Journal of Differential Equations×8
  • Journal of Mathematical Biology×8
  • Discrete and Continuous Dynamical Systems - B×5
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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 19, 2026.

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