Aman Y. Husbands
Agricultural and Biological Sciences · The Ohio State University
Publications
40
Citations
1,254
Est. group size
~3
Recurring co-author estimate
Active years
20
Publishing since 2007
This researcher studies how plants develop their shapes and tissues, combining molecular genetics with computational and mathematical approaches like topological data analysis and machine learning to understand leaf form, gene expression patterns, and organ development in species such as Arabidopsis and grapevine. Their work spans wet-lab plant molecular biology (studying genes involved in fertility, DNA methylation, and stem/vascular tissue formation) and quantitative methods for analyzing biological shape and gene expression data across flowering plants.
Publication output has grown from sparse activity in 2017-2019 to a steady average of about 5 publications per year over the last five years, with continued output into 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Ectopic cambia in wisteria vines are associated with the expression of conserved KNOX genes
Nature Communications · 2026
- Indigenous Plant Knowledge in the De la Cruz-Badiano Codex (1552): A Text Mining and Morphometric Study
2026
- Indigenous Plant Knowledge in the De la Cruz-Badiano Codex (1552): A Text Mining and Morphometric Study
SocArXiv (OSF Preprints) · 2026
- Indigenous Plant Knowledge in the De la Cruz-Badiano Codex (1552): A Text Mining and Morphometric Study
SocArXiv (OSF Preprints) · 2026
- Procrustean pseudo‐landmark methods in Python to measure massive quantities of leaf shape data
Applications in Plant Sciences · 2026
- The Euler Characteristic Transform Enables Classification of Complex Plant Shapes and Prediction of Leaf Venation from Blade Geometry
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Mechanisms driving functional divergence of transcription factor paralogs
New Phytologist · 2025
- <scp>PEK14</scp> : A Kinesin‐4 Necessary for Male‐Derived Fertility in <scp> <i>Arabidopsis thaliana</i> </scp>
Cytoskeleton · 2025
- Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Topological data analysis reveals core heteroblastic and ontogenetic programs embedded in leaves of grapevine (Vitaceae) and maracuyá (Passifloraceae)
PLoS Computational Biology · 2024
- Expression‐based machine learning models for predicting plant tissue identity
Applications in Plant Sciences · 2024
- Pluripotency of a founding field: rebranding developmental biology
Development · 2024
- Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants
PLoS Biology · 2023
- Pick a side: Integrating gene expression and mechanical forces to polarize aerial organs
Current Opinion in Plant Biology · 2023
- A Vertex Network Model of Arabidopsis Leaf Growth
Communications on Applied Mathematics and Computation · 2023
- bioRxiv (Cold Spring Harbor Laboratory)×10
- The Plant Cell×2
- Cancers×2
- Applications in Plant Sciences×2
- Current Opinion in Plant Biology×2
- Joe Ogas
Agricultural and Biological Sciences · Purdue University West Lafayette
- Sarah H. Reeder
Agricultural and Biological Sciences · The Ohio State University
- Craig S. Pikaard
Agricultural and Biological Sciences · Indiana University
- Andrea Gómez‐Felipe
Agricultural and Biological Sciences · Indiana University
- Daniel B. Szymanski
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 19, 2026.
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