Brian P. Dilkes
Agricultural and Biological Sciences · Purdue University West Lafayette
Publications
138
Citations
6,035
Est. group size
~8
Recurring co-author estimate
Active years
29
Publishing since 1998
Brian P. Dilkes studies plant genetics and molecular biology, focusing on how genes and hormones control traits like growth, development, and stress responses in crops such as maize, sorghum, and Arabidopsis (a widely used model plant). His work combines genetic mapping, hormone chemistry, and image-based phenotyping (measuring plant traits from photos using computer methods) to link DNA variation to observable plant characteristics.
Publication output has been fairly steady over the past decade, averaging about 8-9 papers per year with a notable increase in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species
PLANT PHYSIOLOGY · 2026
- Hybridization between toxic bloom-forming algae of the <i>Prymnesium parvum sensu lato</i> species complex
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- High-resolution phenomics dataset collected on a field-grown, EMS-mutagenized sorghum population evaluated in hot, arid conditions
BMC Research Notes · 2025
- Analysis of Polar and Nonpolar Small Plant Growth Hormones and Quantification by LC/MS
Cold Spring Harbor Protocols · 2025
- Sterol and Brassinosteroid Hormone Quantification by LC/MS of Picolinyl Ester Derivatives
Cold Spring Harbor Protocols · 2025
- Metabolite Profiling of Growth Regulatory Hormones from Maize Tissue
Cold Spring Harbor Protocols · 2025
- High-resolution phenomics dataset collected on a field-grown, EMS- mutagenized sorghum population evaluated in hot, arid conditions
Research Square · 2025
- Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks
The Plant Phenome Journal · 2024
- T-DNA mutant screen in Arabidopsis to validate candidate genes with predicted ionomic and seed weight phenotypes
2024
- Quantifying Leaf Symptoms of Sorghum Charcoal Rot in Images of Field-Grown Plants Using Deep Neural Networks
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Two teosintes made modern maize
Science · 2023
- Genetic evidence that brassinosteroids suppress pistils in the maize tassel independent of the jasmonic acid pathway
Plant Direct · 2023
- Two teosintes made modern maize
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- A cryptic natural variant allele of <i>BYPASS2</i> suppresses the <i>bypass1</i> mutant phenotype
PLANT PHYSIOLOGY · 2023
- bioRxiv (Cold Spring Harbor Laboratory)×28
- PLANT PHYSIOLOGY×8
- G3 Genes Genomes Genetics×7
- The Plant Cell×6
- Plant Direct×6
- Yuting Liu
Agricultural and Biological Sciences · The Ohio State University
- Scott D. Michaels
Agricultural and Biological Sciences · Indiana University
- Joshua J. Blakeslee
Agricultural and Biological Sciences · The Ohio State University
- Andrea Gómez‐Felipe
Agricultural and Biological Sciences · Indiana University
- Yanjun Yu
Agricultural and Biological Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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