Author

Jian Zhao

Changchun University

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

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Andrea VecianaiD· 1 shared B.J. NelsoniD· 1 shared Boquan Hai· 1 shared Chao ZhangiD· 1 shared Cong LuoiD· 1 shared Daniel AhmediD· 1 shared Denis von ArxiD· 1 shared Elric ZhangiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperNeuroscience

Andrea VecianaORCID

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Author profile →

3 papers

Recent·Most cited

TROP2-targeting chimeras (TRTACs) for tumor-selective membrane protein degradation and enhanced drug delivery

Luping Chen, Xinying Fu, Wenqian Dong, Xiaobei Deng, Simin Chen, Fujun Wang, Jian Zhao, Shiqun Shao, Liqiang Fan, Lixin Zhang

This paper introduces TRTACs, TROP2-targeting chimeras that selectively degrade tumor membrane proteins and deliver drugs, showing efficacy against EGFR and HER2-positive tumors with minimal toxicity.

bioRxiv · Aug 20, 2026 · PreprintCell Biology

Magnetoelectric Microrobots for Spinal Cord Injury Regeneration

Hao Ye, Jingjing Zang, Jiawei Zhu, Denis von Arx, Jian Zhao, Vitaly Pustovalov, Minmin Mao, Qiao Tang, Andrea Veciana, Harun Torlakcik, Elric Zhang, Semih Sevim, Roger Sanchis‐Gual, Quan Gao, Xiangzhong Chen, , Salvador Pané

This paper introduces NPCbots, magnetoelectric microrobots for spinal cord injury repair, showing improved neural regeneration and behavior in zebrafish models.

Nature Materials · Jun 2, 2026Peer-reviewedNeuroscience

A Comprehensive Assessment of Methylation-Based Age Prediction Methods

Han Wang, Jing Qu, Zeng Xi Zong, Rui Cai, Kai Li, Lin Zhao, Boquan Hai, Ruoting Tian, Zhejun Kuang, Li Zhang, Jian Zhao, Guixia Liu, Chao Zhang

This study benchmarks 15 DNA methylation age prediction methods across 142 datasets, finding that model performance depends on training data characteristics and providing a resource for future research.

bioRxiv · Dec 23, 2024 · PreprintBioinformatics