Kyoung‐Jae Won
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
170
Citations
10,484
Est. group size
~4
Recurring co-author estimate
Active years
29
Publishing since 1998
This researcher works on computational and genomic methods for understanding how genes are switched on and off in individual cells, particularly using single-cell and spatial transcriptomics (technologies that measure gene activity in individual cells and their location within tissue). Their work combines deep learning tools with biological questions in areas such as cancer, diabetes, neuroscience, and liver disease, often focusing on how neighboring cells influence each other's gene expression. Collaborative studies also touch on epigenetics (chemical modifications that regulate gene activity) and chromatin organization.
Publication output was relatively steady to increasing from 2017-2021 (peaking around 16 papers/year) but has gradually declined since 2022, averaging about 7.4 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Abstract 978: Deep learning frameworks for translating cancer drug response from cell-level to patient-level by modeling transcriptome
Cancer Research · 2026
- Multi-scale and multi-context interpretable mapping of cell states across heterogeneous spatial samples
Nature Communications · 2025
- SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution
BMC Bioinformatics · 2025
- Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference
Advanced Science · 2024
- Unveiling contact-mediated cellular crosstalk
Trends in Genetics · 2024
- Data enhancement in the age of spatial biology
Advances in cancer research · 2024
- Multi-scale and multi-context interpretable mapping of cell states across heterogenous spatial samples
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- DeepDoublet identifies neighboring cell-dependent gene expression
Genomics & Informatics · 2024
- Single-cell RNA-sequencing identifies disease-associated oligodendrocytes in male APP NL-G-F and 5XFAD mice
Nature Communications · 2023
- CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data
Molecular Systems Biology · 2023
- Post-translational modifications of histone and non-histone proteins in epigenetic regulation and translational applications in alcohol-associated liver disease: Challenges and research opportunities
Pharmacology & Therapeutics · 2023
- Neighbor-specific gene expression revealed from physically interacting cells during mouse embryonic development
Proceedings of the National Academy of Sciences · 2023
- Inter and transgenerational impact of H3K4 methylation in neuronal homeostasis
Life Science Alliance · 2023
- SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Cell Competition in Carcinogenesis
Cancer Research · 2022
- bioRxiv (Cold Spring Harbor Laboratory)×19
- Nucleic Acids Research×4
- Endocrinology×4
- Figshare×4
- Drug Metabolism and Disposition×3
- Siddhant Meshram
Biochemistry, Genetics and Molecular Biology · Indiana University
- Li Shen
Biochemistry, Genetics and Molecular Biology · Indiana University
- Sha Cao
Biochemistry, Genetics and Molecular Biology · Indiana University
- Robert A. Policastro
Biochemistry, Genetics and Molecular Biology · Indiana University
- Evan M. Cornett
Biochemistry, Genetics and Molecular Biology · Indiana University
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.
Claim or correct this profile