Author

Sang‐Ho Kwon

Johns Hopkins UniversityORCID 0000-0001-9074-4641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Research Focus:cell type annotation· 4 Assay:scRNA-seq· 3 Assay:spatial transcriptomics· 3 Research Focus:differential expression· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Kristen R. MaynardiD· 5 shared Stephanie C. PageiD· 5 shared Joel E. KleinmaniD· 4 shared Leonardo Collado‐TorresiD· 4 shared Madhavi TippaniiD· 4 shared Stephanie C. HicksiD· 4 shared Thomas M. HydeiD· 4 shared Keri MartinowichiD· 3 shared

Activity by Year

2023-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersNeuroscience

Kristen R. MaynardORCID

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Author profile →

5 papers

Recent·Most cited

Overlapping yet distinct spatiomolecular profiles across mood disorders and biological sex in the human prefrontal cortex

Jacqueline R. Thompson, Seyun Oh, Sarah E. Maguire, Svitlana V. Bach, Bernard Mulvey, Geo M. Pertea, Madeline R Abramson, Ryan A. Miller, Sang‐Ho Kwon, Madhavi Tippani, Madeline R. Valentine, Amy Deep‐Soboslay, Yufeng Du, Annie B. Nguyen, Joel E. Kleinman, , Stephanie C. Page

The paper uses spatial transcriptomics to analyze molecular differences in mood disorders and biological sex in the human prefrontal cortex, identifying sex- and disorder-specific gene expression patterns.

bioRxiv · Oct 24, 2026 · PreprintNeuroscience

An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus

Jacqueline R. Thompson, Erik D. Nelson, Madhavi Tippani, Anthony D. Ramnauth, Heena R. Divecha, Ryan A. Miller, Nicholas J. Eagles, Elizabeth A. Pattie, Sang‐Ho Kwon, Svitlana V. Bach, Uma M. Kaipa, Jianing Yao, Christine Hou, Joel E. Kleinman, Leonardo Collado‐Torres, , Stephanie C. Hicks

The paper integrates single-nucleus and spatial transcriptomics data to map the molecular landscape of the human hippocampus, identifying cell types and spatial domains.

Nature Neuroscience · Jul 30, 2025Peer-reviewedNeuroscience

Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types

Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang‐Ho Kwon, Stephanie C. Page, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado‐Torres

The paper introduces a data-driven method to identify Total RNA Expression Genes (TREGs) for estimating RNA abundance in heterogeneous cell types and identifies AKT3 as a top TREG in brain regions.

Genome biology · Oct 16, 2023Peer-reviewedBioinformatics

The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics

Lukas M. Weber, Heena R. Divecha, Matthew Nguyen Tran, Sang‐Ho Kwon, Abby Spangler, Kelsey D. Montgomery, Madhavi Tippani, Rahul A. Bharadwaj, Joel E. Kleinman, Stephanie C. Page, Thomas M. Hyde, Leonardo Collado‐Torres, Kristen R. Maynard, Keri Martinowich, Stephanie C. Hicks

The paper characterizes the molecular landscape of the human locus coeruleus using spatially-resolved transcriptomics and single-nucleus RNA-sequencing, providing a publicly accessible resource.

eLife · Feb 3, 2023Peer-reviewedNeuroscience

SUFI: An automated approach to spectral unmixing of fluorescent multiplex images captured in mouse and postmortem human brain tissues

Vijay Sadashivaiah, Madhavi Tippani, Stephanie C. Page, Sang‐Ho Kwon, Svitlana V. Bach, Rahul A. Bharadwaj, Thomas M. Hyde, Joel E. Kleinman, Andrew E. Jaffe, Kristen R. Maynard

SUFI automates spectral unmixing of fluorescent multiplex images in mouse and postmortem human brain tissues, improving accuracy over manual methods and existing software.

BMC Neuroscience · Jan 25, 2023Peer-reviewedBioinformatics