Author

Han Jiang

First Hospital of China Medical 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 Biophysics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:mouse· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

Chaozhen WeiiD· 1 shared Dittmar BöckleriD· 1 shared Feiyang Chen· 1 shared Guijie Kang· 1 shared Hangyu LiuiD· 1 shared Hui WangiD· 1 shared Jaivarsini Johnson· 1 shared Jia XingiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperBiophysics

Chaozhen WeiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Partial epithelial-to-mesenchymal transition mediates profound gap closure through growth and fluidization

Han Jiang, Chaozhen Wei, Pengbo Wang, Jaivarsini Johnson, Nonthakorn Olaranont, Yifan Gu, Feiyang Chen, Jian Xu, Qi Wen, Min Wu, Yubing Sun

The paper shows that growth-mediated compressive stresses drive millimeter-scale gap closure in MEC1 cells, with fluid-like tissue remodeling enhancing collective closure.

bioRxiv · Nov 1, 2026 · PreprintBiophysics

Dimethyl fumarate reprograms cervical cancer cells to enhance antitumor immunity by activating mtDNA-cGAS-STING pathway

Han Jiang, Li‐Ting Liu, Shan He, Shen Qu, Yifan Yang, Guijie Kang, Min‐Hsien Wu, Hangyu Liu, Yuwei Zhang, Zixuan Wang, Wenjing Tian, Ying Chen, Liming Wang, Qiangqiang Wang, Ting Ye, , Yafei Huang

This study shows that dimethyl fumarate (DMF) enhances antitumor immunity in cervical cancer by reprogramming tumor cells to activate the mtDNA-cGAS-STING pathway, increasing CD8+ T cell infiltration.

Journal of Biomedical Science · Oct 20, 2025Peer-reviewedImmunology

Integrative analysis of multi-omics and machine learning highlighted an m6A-related mRNA signature as a robust AAA progression predictor

Yuchen He, Jia Xing, Shiyue Wang, Han Jiang, Lun Yu, Yanshuo Han, Philipp Erhart, Dittmar Böckler, Shijie Xin, Jian Zhang

The paper develops an m6A-related mRNA signature using multi-omics and machine learning to predict AAA progression and identifies FKBP11 as a key gene.

bioRxiv · Sep 25, 2023 · PreprintBioinformatics