Author

Honghan Cheng

Westlake University

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

Biology Disciplines

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Systems Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Tiannan GuoiD· 3 shared Yi ZhuiD· 3 shared Zhangzhi XueiD· 3 shared Rui SuniD· 2 shared Weigang GeiD· 2 shared Yingrui WangiD· 2 shared Yuecheng Zhan· 2 shared Zongxiang Nie· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersSystems Biology

Tiannan GuoORCID

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3 papers

Recent·Most cited

Spatial distribution of the proteome in human body and cancers

Liang Yue, Wenhao Jiang, Sainan Li, Meng Luo, Ning Fan, Xiaolu Zhan, Rui Sun, Honghan Cheng, Zhangzhi Xue, Tong Liu, Qianhe Zhou, Kexin Chen, Tian Lu, Fang Guo, Dongwei Li, , Tiannan Guo

The paper presents a comprehensive spatial proteome map of human tissues and cancers, enabling drug response analysis and target discovery.

Nature · Jun 17, 2026Peer-reviewedSystems Biology

Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics

Huanhuan Gao, Yuecheng Zhan, Yuanqi Liu, Zhiyi Zhu, Yuxiu Zheng, Liqin Qian, Zhangzhi Xue, Honghan Cheng, Zongxiang Nie, Weigang Ge, Senlin Ruan, Jiaxu Liu, Jikai Zhang, Yingying Sun, Lei Zhou, , Tiannan Guo

This study evaluates blood contamination in nanoparticle-based plasma proteomics, identifies contamination sources, and introduces software to detect and mitigate contamination in clinical samples.

EMBO Molecular Medicine · Dec 5, 2025Peer-reviewedBiochemistry

A perturbation proteomics-based foundation model for virtual cell construction

Rui Sun, Liujia Qian, Yongge Li, Honghan Cheng, Zhangzhi Xue, xuedong zhang, Lingling Tan, Yuecheng Zhan, Wenbin Hu, Qi Xiao, Zhiwei Liu, guangmei zhang, E Weinan, Peijie Zhou, Han Wen, , Tiannan Guo

The paper develops a foundation model using perturbation proteomics data to predict drug responses and improve breast cancer prognosis.

bioRxiv · Feb 7, 2025 · PreprintSystems Biology