Author

Qing Yao

Southern University of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Alicia Li· 1 shared David K. Y. ZhangiD· 1 shared Evan M. Zhao· 1 shared Feiyun Li· 1 shared Felix J. WongiD· 1 shared Gary Zhao· 1 shared Guozhi XiaoiD· 1 shared Jianglong LiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

Alicia Li

Mutual co-authors in cluster

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2 papers

Recent·Most cited

AI-enabled discovery of small molecules targeting complementary pathways for hair follicle rejuvenation

Zihan Qu, Yang Li, Stella E. Cho, Lara Doğan, Qing Yao, Lan Tang, Gary Zhao, Evan M. Zhao, Alicia Li, Satotaka Omori, Felix J. Wong, David K. Y. Zhang

This study uses AI to discover small molecules that rejuvenate hair follicles by targeting complementary pathways, showing increased cell viability and suppression of follicular miniaturization.

bioRxiv · Jun 12, 2026 · PreprintBioengineering

Organism-wide spatiotemporal profiling of gene expression utilizing a X-CreERT2/Ai9 tracing system

Feiyun Li, Qing Yao, Mingjue Chen, Shuangshuang He, Ran Yi, Jianglong Li, Lijun Lin, Guozhi Xiao

This study uses an inducible X-CreERT2/Ai9 system to map Fermt2 (Kindlin-2) expression across all mouse tissues, identifying both known and novel expression patterns and establishing a platform for organism-wide gene expression profiling.

bioRxiv · Jul 3, 2025 · PreprintBiochemistry