Mataya Duncan

Researcher

Last publication 2025 Last refreshed 2026-05-16

unknown

2 h-index 5 pubs 16 cited

Biography and Research Information

OverviewAI-generated summary

Mataya Duncan's research focuses on the application of statistical methods to phylogenetic analysis, particularly in addressing challenges related to phylogenetic regression. Their work investigates methods to improve the robustness of phylogenetic decisions, aiming to overcome limitations encountered with large datasets or complex evolutionary histories. Duncan has developed and implemented computational tools, such as TraitTrainR, to facilitate large-scale simulations under models of continuous trait evolution. This work contributes to understanding evolutionary processes, including convergent evolution and functional divergence, as demonstrated in their studies of glycoside hydrolase family genes in beetles. Duncan collaborates with researchers at the University of Arkansas at Fayetteville, including Richard H. Adams, Jenniffer Roa Lozano, and Jack E. Green, on these and related projects.

Metrics

  • h-index: 2
  • Publications: 5
  • Citations: 16

Selected Publications

  • Robust regression rescues poor phylogenetic decisions (2025)
    2 citations DOI OpenAlex
  • 250 Million Years of Convergent Evolution and Functional Divergence of Glycoside Hydrolase Family 28 Genes in Xylophagous Beetles (Cerambycidae and Buprestidae): Insights Into Horizontal Gene Transfer, Gene Dynamics, Synteny and Adaptive Divergence (2025)
  • A Tale of Too Many Trees: A Conundrum for Phylogenetic Regression (2025)
    7 citations DOI OpenAlex
  • TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution (2024)
    2 citations DOI OpenAlex
  • A tale of too many trees: a conundrum for phylogenetic regression (2024)
    3 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

8 Collaborators 4 Institutions 1 Country

Top Collaborators

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