Author

Wei Tang

Fujian Agriculture and Forestry 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 Neuroscience· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

Bingxiao YaniD· 1 shared Bo Peng· 1 shared Chunyan Xiang· 1 shared Didier TharreauiD· 1 shared Guo‐Liang WangiD· 1 shared Guoqing Niu· 1 shared Haiqun XieiD· 1 shared Houxiang KangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperPlant Biology

Bingxiao YanORCID

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3 papers

Recent·Most cited

HMA proteins produce 2',3'-cNMP signaling molecules and activate CNL-mediated immunity in rice

Xiangyu Gong, Guoqing Niu, Shuyi Sun, Bingxiao Yan, Z. G. Li, Wei Tang, Pei Hu, Huakun Zheng, Meilian Chen, Nicolas Ponceler, Zhougeng Xu, Xing Lv, Hui Lin, Jiyun Liu, Ya Gao, , Zhan He

This study identifies HMA proteins in rice as sensors that generate 2',3'-cNMP signaling molecules, which are perceived by CNL LRR domains to activate immunity against blast disease.

bioRxiv · Mar 16, 2026 · PreprintPlant Biology

Dorsal Attention Network as a Convergent Hub of Diverse Non-pharmacological Interventions Preserving Functional Gradients and Cognition in Aging

Xinhu Jin, Wei Tang, Zhiwei Zheng, Pengyun Wang, Xinyi Zhu, Xiaoyu Cui, Shufei Yin, Zeping Lv, Haiqun Xie, Rui Li, Juan Li

The paper shows that non-pharmacological interventions in aging strengthen brain network integration and maintain functional gradients, with the dorsal attention network playing a key role in preserving cognition.

bioRxiv · Jul 26, 2025 · PreprintNeuroscience

Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma through Interpretable Machine Learning.

Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

This study identifies immune subtypes and signature genes in severe asthma using machine learning and transcriptomic data from a murine model and online database.

Journal of Immunology Research · Jan 1, 2024Peer-reviewedBioinformatics