Author

Yifan Zhou

Dascena (United States)

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

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Biology Disciplines

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Immunology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Akata SahaiD· 1 shared Allison M. DyevoichiD· 1 shared Bhakti PateliD· 1 shared Chencan Su· 1 shared Christopher Barton· 1 shared David W. ShimabukuroiD· 1 shared Gang Wang· 1 shared Grant Fletcher· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperImmunology

Akata SahaORCID

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3 papers

Recent·Most cited

Antigen presentation requirements for effective cDC1-based cancer immunotherapy

Josue Estiven Pineda, Tomoyuki Minowa, Li Shen, Yifan Zhou, Allison M. Dyevoich, Bhakti Patel, Sarah M. Schneider, Sunita Keshari, Akata Saha, Morgan Riba, Jing Wang, Stephanie S. Watowich, Matthew M. Gubin

This study shows that in vitro-derived cDC1s resemble tumor-infiltrating DCs and that MHC-I and MHC-II antigen presentation by these cells is essential for effective cancer immunotherapy.

The Journal of Immunology · Aug 1, 2026Peer-reviewedImmunology

Fibroblast-encoded inflammatory memory orchestrates recurrent skin inflammation via NNMT-dependent metabolic remodeling

Yifan Zhou, Kang Li, Yuming Xie, Chencan Su, Zhiguo Li, Yang Yang, Pei Qiao, Wanting Liu, Yaxing Bai, Ke Xue, Johann Gudjonsson, Gang Wang, Shuai Shao

This paper identifies NNMT as a metabolic-epigenetic regulator in fibroblasts that sustains inflammatory memory and drives recurrent skin inflammation by maintaining a pro-inflammatory niche.

bioRxiv · Apr 30, 2026 · PreprintImmunology

Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Qingqing Mao, Melissa Jay, Jana L. Hoffman, Jacob S. Calvert, Christopher Barton, David W. Shimabukuro, Lisa Y. Shieh, Uli K. Chettipally, Grant Fletcher, Yaniv Kerem, Yifan Zhou, Ritankar Das

This paper validates a sepsis prediction algorithm using vital sign data across multiple settings, showing strong performance and generalizability.

BMJ Open · Jan 1, 2018Peer-reviewedBioinformatics