Andy Pereira Data-verified

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

High Impact

Professor

University of Arkansas

Last publication 2026 Last refreshed 2026-05-16

faculty

51 h-index 243 pubs 12,572 cited

Research Areas

Links

ORCID Google Scholar Lab Website

OverviewAI-generated summary

Andy Pereira's research focuses on the genetic and molecular mechanisms underlying plant stress responses, with a particular emphasis on rice (Oryza sativa).

His work has investigated quantitative trait loci (QTLs) and candidate genes associated with traits such as grain quality, chalkiness, and chlorophyll content, especially under drought and high nighttime temperature stress conditions. Pereira has utilized high-throughput SNP markers and network-based machine learning approaches to identify genomic regions and predict transcription factors involved in these stress tolerance mechanisms. He has also explored the genetic dissection of grain yield component traits and the phenotypic and physiological insights into rice responses to high night temperatures.

Pereira holds a significant publication record with 236 total publications and has been recognized as a highly cited researcher, evidenced by his h-index of 51 and over 12,480 citations. He collaborates with researchers at the University of Arkansas at Fayetteville, including Julie A. Thomas, Julie Thomas, Yheni Dwiningsih, and Charles Ruiz, with whom he shares multiple publications.

Metrics

h-index: 51
Publications: 243
Citations: 12,572

Selected Publications

High nighttime temperature (HNT)-responsive MicroRNA profiles in developing caryopses and flag leaves of 13 rice varieties (2026)

DOI OpenAlex
Integrative Genomic Analyses to Unravel Genomic Regions and Candidate Genes Associated with Flag Leaf Photosynthesis at the Reproductive Stage in Rice (2025)

DOI OpenAlex
Rice master regulator ‘HYR’ enhances growth and defense mechanisms with consequences for fall armyworm growth and host selection (2025)

DOI OpenAlex
Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes (2023)

1 citation DOI OpenAlex
High Daytime Temperature Responsive MicroRNA Profiles in Developing Grains of Rice Varieties with Contrasting Chalkiness (2023)

3 citations DOI OpenAlex
Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress (2023)

13 citations DOI OpenAlex
Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress (2022)

DOI OpenAlex
Identification of QTLs and Candidate Loci Associated with Drought-Related Traits of the K/Z RIL Rice Population (2022)

10 citations DOI OpenAlex
QTL mapping of panicle architecture and yield-related traits between two US rice cultivars 'LaGrue' and 'Lemont' (2021)

DOI OpenAlex
Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers (2021)

26 citations DOI OpenAlex
Genetic Dissection of Grain Yield Component Traits Under High Nighttime Temperature Stress in a Rice Diversity Panel (2021)

21 citations DOI OpenAlex
Quantitative Trait Loci and Candidate Gene Identification for Chlorophyll Content in RIL Rice Population under Drought Conditions (2021)

16 citations DOI OpenAlex
Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance (2021)

43 citations DOI OpenAlex