Author

Yerin Kim

Georgia Institute of TechnologyORCID 0000-0003-2121-8511Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Genomics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C.-S. ParkiD· 2 shared Dong Won KangiD· 2 shared Eun Ju SongiD· 2 shared Hanjoong JoiD· 2 shared Jay Aaron Bowman-KiriginiD· 2 shared Kyung In BaekiD· 2 shared Leandro ChoiiD· 2 shared Ruei-Chun HungiD· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersPhysiology

C.-S. ParkORCID

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3 papers

Recent·Most cited

PhysiologyArteriosclerosis Thrombosis and Vascular BiologyPeer-reviewedOct 9, 2025

Flow-sensitive HEG1 controls eNOS activity to prevent endothelial dysfunction, hypertension, and atherosclerosis

Michael D. Clark, Yerin Kim, César A. Romero…·Hanjoong Jo

This study identifies HEG1 as a flow-sensitive protein that regulates eNOS activity, preventing endothelial dysfunction, hypertension, and atherosclerosis.

3 citations

mouseexperimental assay

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Cell BiologybioRxivPreprintMar 6, 2025

Disturbed Flow Induces Reprogramming of Endothelial Cells to Immune-like and Foam Cells under Hypercholesterolemia during Atherogenesis

C.-S. Park, Kyung In Baek, Ruei-Chun Hung…·Hanjoong Jo

This study validates the two-hit hypothesis showing disturbed flow and hypercholesterolemia together reprogram endothelial cells to immune-like and foam cells during atherogenesis.

2 citations

mousescRNA-seq

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GenomicsbioRxivPreprintNov 7, 2023

Single-cell transcriptomic and genomic changes in the aging human brain

Ailsa M. Jeffries, Tianxiong Yu, Jennifer S. Ziegenfuss…·Michael A. Lodato

The paper identifies transcriptomic and genomic changes in the aging human brain using single-nucleus RNA-sequencing and single-cell whole-genome sequencing, revealing age-related gene expression patterns and somatic mutation dynamics.

10 citations

humanscRNA-seq

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