Author

Yao Ma

Ningxia Medical UniversityPrimary ORCID profile (0000-0003-0815-7910 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Yao MaiD6 papers · Texas Biomedical Research Institute

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

An Ren· 1 shared Baicai Sun· 1 shared Bo Zhou· 1 shared Chengwei Wu· 1 shared Chongyu CaoiD· 1 shared Cui Yunxia· 1 shared Fang Dong· 1 shared Hai WeiiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperScientific Communication & Education

An Ren

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3 papers

Recent·Most cited

The self-renewing lymphoid-biased hematopoietic stem cells support long-term lymphopoiesis in mice

Yao Ma, Xinying Li, Xialin Li, Lisha Wang, Yinglian Xu, Jinglei Zhai, Jinhong Wang, Yu Lan, Bo Zhou, Tao Cheng, Hideo Ema, Fang Dong

The paper identifies a self-renewing lymphoid-biased HSC subset in mice that maintains lymphopoiesis during aging and may serve as a backup source for immune function.

bioRxiv · Nov 3, 2026 · PreprintCell Biology

Musical Aesthetic Experience Reveals Differential Effects of Professional Vocal Training on Female College Students' Brain Function

HUIMEI LI, Yingxue Gao, Yao Ma, Baicai Sun, Yuwei Liu, Ruizhi Zhou, An Ren, Tifei Yuan, Xiaoqi Huang, Xia Zhang

This study shows that professional vocal training improves musical cognition and pleasure in female college students, with distinct neural activation patterns across groups with different musical backgrounds.

bioRxiv · Oct 7, 2026 · PreprintScientific Communication & Education

Large-scale quantum computing framework enhances drug discovery in multiple stages

Kai Wen, Jinyin Zha, Shaobo Chen, Jie Zhong, Lixin Yuan, Cui Yunxia, Xinchao Shi, Wenming Qin, Xiaobing Lan, Yonghui Liu, Xiuyan Yang, Hui Qin, Mingyu Li, Putuo Guo, Qingjie Xiao, , Jian Zhang

This paper presents a quantum computing framework for drug discovery that improves stability and performance in multiple stages, identifying novel druggable sites and compounds.

bioRxiv · Feb 11, 2026 · PreprintBioinformatics