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Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-03

Emilio Soriano Chavez

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Arkansas State University
2 h-index 4 pubs 32 cited

Research Areas

Biomedical Subjects

  • Plant Breeding
  • Zea mays
  • Models, Genetic
  • Gene-Environment Interaction
  • Fusarium
  • Glycine max
  • Rhizosphere
  • Machine Learning
  • Genotype
  • Phenotype
  • Multiomics
  • Bacteria
  • Plant Diseases
  • RNA, Ribosomal, 16S
  • Soil Microbiology

OverviewAI-generated summary

Emilio Soriano Chavez's research focuses on understanding genotype by environment interactions in crop yields, particularly in maize. He has contributed to work that explores global prediction competitions, demonstrating how various modeling strategies can effectively estimate maize yields. His research also extends to the study of microbial dynamics within plant environments, specifically investigating the rhizosphere in soybean-Fusarium interactions through multi-omics analysis. Additionally, Chavez has been involved in identifying genes related to essential functions in bacteria, such as Streptococcus mutans, by analyzing phenotypic profiles. His collaborators include Emily S. Bellis, Jason Causey, Brett Hale from Arkansas State University, and Jimmy DuVall from the University of Arkansas at Fayetteville.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 32

Selected Publications

  • Identification of a putative RocS homolog through phenotypic profiling of uncharacterized essential genes in Streptococcus mutans (2026)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • Integrated Multi-Omics Analysis Provides Insights into the Rhizosphere Microbial Dynamics in Soybean– Fusarium virguliforme Interaction (2026)
    Molecular Plant-Microbe Interactions 1 citation DOI OpenAlex
  • Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates (2024)
    Genetics 27 citations DOI OpenAlex
  • Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates (2024)
    bioRxiv (Cold Spring Harbor Laboratory) 3 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

41 Collaborators 19 Institutions 2 Countries

Top Collaborators

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