Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Emilio Soriano Chavez

Researcher

Arkansas State University

Unknown Researcher

2 h-index 4 pubs 29 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 centers on plant breeding and genetic modeling, particularly for maize (Zea mays). He has co-authored publications investigating global genotype by environment prediction competitions, utilizing diverse modeling strategies to estimate maize yield. His work also explores integrated multi-omics analysis to understand rhizosphere microbial dynamics in soybean interactions with *Fusarium virguliforme*. Chavez's scholarship metrics include an h-index of 2 with 3 total publications and 25 citations. He collaborates with researchers at Arkansas State University, including Emily S. Bellis and Jason Causey, as well as Jimmy DuVall from the Arkansas Agricultural Experiment Station.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 29

Selected Publications

  • Deciphering the <i>Streptococcus mutans</i> essentialome: multi-omic resolution of hypothetical genes and identification of a functional RocS equivalent (2026)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • Integrated Multi-Omics Analysis Provides Insights into the Rhizosphere Microbial Dynamics in Soybean– <i>Fusarium virguliforme</i> 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 24 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

34 Collaborators 21 Institutions 3 Countries

Top Collaborators

Similar Researchers

Based on overlapping research topics

Dotun Olaoye University of Arkansas at Fayetteville
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies
Strong match 5 shared topics
Mitchell Armour University of Arkansas at Fayetteville
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies
Strong match 4 shared topics
Samuel B. Fernandes University of Arkansas at Fayetteville
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Machine Learning Applications
Strong match 5 shared topics
Bing Jia Arkansas State University
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies
Strong match 5 shared topics
Lacy Nelson Arkansas Agricultural Experiment Station
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies
Good match 5 shared topics
Yuejun Qu University of Arkansas at Fayetteville
Plant Physiology and Cultivation Studies Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies
Good match 5 shared topics