Author

Justin Wang

University of Southern CaliforniaORCID 0009-0004-0803-566XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Neuroscience· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1

Frequent Co-Authors

Bérénice Anath BenayouniD· 3 shared Minhoo KimiD· 3 shared Ryan J. LuiD· 2 shared Xucheng LiangiD· 2 shared Alan XuiD· 1 shared Alex TraniD· 1 shared Amy TorkelsoniD· 1 shared Anish Bhaswanth ChakkaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersGenomics

Bérénice Anath BenayounORCID

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4 papers

Recent·Most cited

Estropausal gut microbiota transplant improves measures of ovarian function in adult mice

Minhoo Kim, Justin Wang, Steven E. Pilley, R. J. Lu, Alan Xu, Youngchang Kim, Minying Liu, Xueyan Fu, Sarah L. Booth, Peter J. Mullen, Bérénice Anath Benayoun

This study shows that transferring gut microbiota from young and estropausal mice improves ovarian function and fertility in adult mice.

Nature Aging · Mar 3, 2026Peer-reviewedPhysiology

Single-cell exploration of ovarian aging across mammalian models

Minhoo Kim, Justin Wang, Xucheng Liang, Ella Schwab, Bérénice Anath Benayoun

This study analyzes ovarian aging across species using single-cell RNA-seq data to identify conserved and species-specific features and suggests drug repurposing candidates.

bioRxiv · Oct 15, 2025 · PreprintGenomics

Systematic characterization of the ovarian landscape across mouse menopause models

Minhoo Kim, Rajyk Bhala, Justin Wang, Xucheng Liang, Mingfei Chen, Ryan J. Lu, Evelyn H. Lee, Julio L. Alvarenga, Rapheal G. Williams, Bérénice Anath Benayoun

This study systematically compares three mouse menopause models to identify shared and model-specific features of follicle loss and endocrine disruption using single-cell transcriptomics and machine learning.

bioRxiv · Jun 10, 2025 · PreprintGenomics

Continuous cell type diversification throughout the embryonic and postnatal mouse visual cortex development

Yuan Gao, Cindy T. J. van Velthoven, Changkyu Lee, Emma D. Thomas, Darren Bertagnolli, Daniel Carey, Tamara Casper, Anish Bhaswanth Chakka, Rushil Chakrabarty, Michael Clark, Marie J. Desierto, Rebecca Ferrer, Jessica Gloe, Jeff Goldy, Nathan Guilford, , Hongkui Zeng

The paper constructs a high-resolution transcriptomic and epigenomic atlas of the developing mouse visual cortex, revealing continuous cell type diversification across embryonic and postnatal stages.

bioRxiv · Oct 2, 2024 · PreprintNeuroscience