Author

Gahyun Kim

Heidelberg UniversityORCID 0000-0002-8454-2821Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Amit KumariD· 1 shared António M. PalmaiD· 1 shared Cord BrakebuschiD· 1 shared Esha MadaniD· 1 shared Hyobin KimiD· 1 shared Jan D. LanzeriD· 1 shared Jose TrevinoiD· 1 shared Julio Sáez-RodrígueziD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Amit KumarORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMar 11, 2026

Shared and organ-specific gene expression programs of fibrotic diseases

Leonie Küchenhoff, Gahyun Kim, Jan D. Lanzer…·Julio Sáez-Rodríguez

This paper performs a cross-organ meta-analysis of single-cell transcriptomic data to identify shared and organ-specific gene expression programs in fibrotic diseases.

1 citation

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedJun 2, 2025

SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution

Linbu Liao, Esha Madan, António M. Palma…·Kyoung‐Jae Won

SC2Spa maps single-cell RNA-seq data to spatial coordinates using deep learning, improving resolution for low-resolution spatial transcriptomics data and identifying spatially variable genes.

2 citations

scRNA-seqspatial transcriptomics

𝕏 PostBluesky