Andrew J. Alverson Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Professor

University of Arkansas at Fayetteville

faculty

36 h-index 121 pubs 7,036 cited

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Biography and Research Information

OverviewAI-generated summary

Andrew J. Alverson, a Professor at the University of Arkansas at Fayetteville, investigates the evolutionary history and adaptive strategies of diatoms. His research group studies the genetic and genomic underpinnings of diatom adaptation to diverse environmental conditions, including salinity and nutrient availability.

His work has been supported by federal grants, including a recent $918,053 NSF award for collaborative research on the phylogeny, systematics, and adaptation of marine epizoic diatoms. Alverson is a highly cited researcher with an h-index of 36 and over 7,000 citations across more than 120 publications. Key collaborators include Eveline Pinseel, Wade R. Roberts, Elizabeth C. Ruck, and Kala M. Downey, all from the University of Arkansas at Fayetteville, with whom he has co-authored numerous publications.

Metrics

  • h-index: 36
  • Publications: 121
  • Citations: 7,036

Selected Publications

  • A phylogenetic classification of diatoms (Bacillariophyta) (2026) DOI
  • Reference genome for the benthic marine diatom <i>Psammoneis japonica</i> : Bacterial associations and repeat‐driven genome size evolution in diatoms (2025) DOI
  • Disentangled assembly graphs reveal hidden eukaryotic diversity in metagenomic data (2025) DOI
  • Genome‐Wide Adaptation to a Complex Environmental Gradient in a Keystone Phytoplankton Species (2025) DOI
  • Phylogenomics reveals the slow-burning fuse of diatom evolution (2025) DOI
  • Three reference genomes for freshwater diatom ecology and evolution (2025) DOI
  • The Divergent Responses of Salinity Generalists to Hyposaline Stress Provide Insights Into the Colonisation of Freshwaters by Diatoms (2024) DOI
  • The Cretaceous Diatom Database: A tool for investigating early diatom evolution (2024) DOI
  • Diatom abundance in the polar oceans is predicted by genome size (2024) DOI
  • The divergent responses of salinity generalists to hyposaline stress provide insights into the colonization of freshwaters by diatoms (2024) DOI
  • Looking for the oldest diatoms (2024) DOI
  • Dataset from: Resolving marine–freshwater transitions by diatoms through a fog of gene tree discordance (2023) DOI
  • Supporting data for Bryłka et al., 2023 Gene duplication, shifting selection, and functional diversification of silicon transporter proteins in marine and freshwater diatoms. (2023) DOI
  • Dataset from: Resolving marine–freshwater transitions by diatoms through a fog of gene tree discordance (2023) DOI
  • Supporting data for Bryłka et al., 2023 Gene duplication, shifting selection, and functional diversification of silicon transporter proteins in marine and freshwater diatoms. (2023) DOI

Federal Grants 1 $918,053 total

Collaborators

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