Author

S. Jiao

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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Cancer Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

J. WeiiD· 3 shared B. Wu· 2 shared C. Dai· 2 shared G. Wang· 2 shared Q. Xu· 2 shared W. Sun· 2 shared X. Cai· 2 shared X. Xu· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersCancer Biology

J. WeiORCID

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Author profile →

3 papers

Recent·Most cited

An oligosaccharide analog exhibited antifungal activity by misleading cell wall organization via targeting PHR transglucosidases

R. Li, Z. Wang, L. Zhu, D. Liu, W. Wang, C. Zhang, S. Jiao, J. Wei, L. Ren, Y. Zhang, X. Gou, X. Yuan, Y. Du

This paper shows that a chitosan oligosaccharide analog disrupts fungal cell wall organization by targeting PHR transglucosidases, leading to antifungal activity and synergy with existing fungicides.

Carbohydrate Polymers · Jun 1, 2022Peer-reviewedMicrobiology

Application of clinical genomic sequencing among Chinese advanced cancer patients to guide precision medicine decisions

S. Jiao, Y. Bai, C. Dai, X. Xu, X. Cai, G. Wang, J. Wei, B. Wu, W. Sun, Q. Xu

This study evaluates the impact of clinical genomic sequencing (CWES) on treatment outcomes for Chinese stage IV cancer patients, finding improved progression-free survival in those following CWES recommendations.

bioRxiv · Dec 19, 2018 · PreprintCancer Biology

Comprehensive analysis of potential immunotherapy genomic biomarkers in 1,000 Chinese patients with cancer

S. Jiao, Y. Zang, C. Dai, X. Xu, X. Cai, G. Wang, J. Wei, B. Wu, W. Sun, Q. Xu

This study analyzes four genomic biomarkers in 1,000 Chinese cancer patients to assess their distribution and associations with cancer types and mutations.

bioRxiv · Jul 12, 2018Cancer Biology