Author

Keqiang Fan

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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Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Constantinos SavvaiD· 1 shared Ewan Reed· 1 shared Jiaoqi Cheng· 1 shared Mengyang Gou· 1 shared Miles Bailey· 1 shared Peixin Zuo· 1 shared Rajesh JenaiD· 1 shared Ramsey Cutress· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

Constantinos SavvaORCID

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1 paper

Recent·Most cited

CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues

Jiaoqi Cheng, Keqiang Fan, Miles Bailey, Xin Du, Rajesh Jena, Constantinos Savva, Ewan Reed, Mengyang Gou, Peixin Zuo, Ramsey Cutress, Stephen Beers, Xiaohao Cai, Salah Élias

CenSegNet quantifies centrosome abnormalities in breast cancer tissues at single-cell resolution, revealing subtype-specific associations with clinical and genomic features.

DOAJ (DOAJ: Directory of Open Access Journals) · Jul 1, 2026Peer-reviewedCell Biology