Match tier Likely match
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-10-06

Pengyin Chen

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

High Impact

Professor

Also affiliated: Agricultural Research Service (2015–2017); Tianjin University of Science and Technology (2009); United States Department of Agriculture (2015–2017); University of Alberta (2021); Cornell University (2008); University of Arkansas System (2013–2017); ZheJiang Academy of Agricultural Sciences (2006); National Corn Growers Association (2011); University of Missouri System (2017); Tennessee State University (2008); University of Missouri (2015–2024); Mississippi State University (2017)

47 h-index 233 pubs 6,790 cited

  • Glycine max
  • Seeds
  • Quantitative Trait Loci
  • Genotype
  • Chromosome Mapping
  • Phenotype
  • Plant Proteins
  • Polymorphism, Single Nucleotide
  • Plant Breeding
  • Droughts
  • Humans
  • Genetic Variation
  • Disease Resistance
  • Salt Tolerance
  • Genome-Wide Association Study

Biography and Research Information

OverviewAI-generated summary

Pengyin Chen's research program focuses on the genetic improvement of soybean (Glycine max) and its physiological responses to environmental stresses, particularly drought. Chen investigates quantitative trait loci (QTL) and employs molecular mapping techniques to understand the genetic basis of seed protein content and other important agronomic traits. This work informs strategies for plant breeding aimed at enhancing soybean yield and resilience.

Chen's research group has also explored the genetic diversity of soybean landraces and the genetic architecture of root system architecture in response to drought. This includes studies on improving symbiotic nitrogen fixation to increase drought tolerance and yield. Furthermore, Chen has contributed to the development of computational tools for transcriptome assembly and has investigated the use of UAV-based imagery for classifying soybean leaf wilting due to drought stress.

With a substantial publication record and a high citation count, Chen is recognized as a highly cited researcher. Key collaborators include Caio Canella Vieira, Leandro Mozzoni, Dongho Lee, and R. T. Robbins, all from the University of Arkansas at Fayetteville, with whom Chen has co-authored numerous publications.

Metrics

  • h-index: 47
  • Publications: 233
  • Citations: 6,790

Positions

  • Professor publications 2002–2024
    University of Arkansas at Fayetteville Institution web page

Selected Publications

  • Identification of Quantitative Trait Loci (QTL) for Sucrose and Protein Content in Soybean Seed (2024)
    Plants 10 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

331 Collaborators 108 Institutions 11 Countries

Top Collaborators

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