Author

Wonjun Hong

Korea UniversityORCID 0009-0002-6975-3505Unclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Dae‐Sung KimiD· 1 shared Daejin ChoiiD· 1 shared Eul Sik JungiD· 1 shared Han S. KimiD· 1 shared Hoon‐Chul KangiD· 1 shared Hyun-Gi MiniD· 1 shared Jeongwon ChoiiD· 1 shared Ji Hun KimiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Dae‐Sung KimORCID

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2 papers

Recent·Most cited

Deep learning-based counting and body-area measurement enable sensitive population-level endpoints in the Collembola reproduction test

Hyun-Gi Min, Lee-Hyeon Jeon, Jeongwon Choi, Han S. Kim, June Wee, Wonjun Hong, Daejin Choi, Yun‐Sik Lee

This paper develops an automated system using deep learning to count and measure body area in springtails, providing sensitive population-level endpoints for ecotoxicological assessments.

bioRxiv · Oct 20, 2026 · PreprintEcology

Successful Correction of ALD Patient-derived iPSCs Using CRISPR/Cas9

Eul Sik Jung, Zhejiu Quan, Mi‐Yoon Chang, Wonjun Hong, Ji Hun Kim, Seung Hyun Kim, Seungkwon You, Dae‐Sung Kim, Jiho Jang, Sang‐Hun Lee, Seokjoong Kim, Hoon‐Chul Kang

This study corrects an ABCD1 mutation in ALD patient-derived iPSCs using CRISPR/Cas9 and homology-directed repair, restoring normal protein expression but not fully correcting metabolic issues.

bioRxiv · Feb 23, 2020 · PreprintNeuroscience