Dongho Lee

High Impact

Research Associate

University of Arkansas primary UA Div. of Agriculture

Also affiliated: Dongyang Mirae University (2012); Ministry of Food and Drug Safety (2019); Georgia Institute of Technology (2019); Agricultural Research Service (2025); Delta Air Lines (United States) (2020–2025); United States Department of Agriculture (2025); University of Wisconsin–Extension (2025); Seoul National University (2001–2022); Korea Advanced Institute of Science and Technology (2001); Chungbuk National University (2018–2019); University of the Punjab (2023); Yonsei University (2006–2010); Korea University (2008–2025); Mississippi Delta Community College (2022–2023); Rural Development Administration (2025); Government of the Republic of Korea (2019); Universidad Nacional del Callao (2019); Kyungpook National University (1988–2025); Kyung Hee University (2025); Korea Rural Economic Institute (2007); Research Institute of Industrial Science and Technology (2003); Seonam University (2019); National Institute of Food and Drug Safety Evaluation (2019); Beltsville Agricultural Research Center (2025); AID Atlanta (2019); Korea Basic Science Institute (2006–2016); Hanyang University (2010); Chung-Ang University (2013–2024); University of Missouri (2020–2025); Delta State University (2022–2023); Daegu University (2008)

Postdoc Researcher

Crop, Soil and Environmental Sciences

20 h-index 137 pubs 1,446 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Dongho Lee's research focuses on the genetics and breeding of soybean, particularly in the context of disease resistance and nutritional improvement. He has contributed to studies investigating genetic factors influencing disease resistance in soybean against pathogens like Soybean mosaic virus, exploring the genetic basis for traits related to nutritional value and the reduction of antinutritional compounds.

His work also extends to the application of advanced computational methods in biological research. This includes the use of machine learning for analyzing biological data and the investigation of genomic sequencing to understand the biosynthetic capabilities of microbial species, such as those within the *Streptomyces* genus. Lee's research portfolio demonstrates a breadth that includes plant science, genomics, and the application of artificial intelligence in biological and medical contexts.

Lee has a significant publication record, with 137 total publications and an h-index of 20, indicating a high level of research productivity and impact. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Caio Canella Vieira, Pengyin Chen, R. T. Robbins, and Leandro Mozzoni, on numerous shared publications.