Papers
1
Total Citations
4
H-Index
1
About
Quan Zou is a leading figure in computational biology and bioinformatics, renowned for pioneering advances in single-cell transcriptomics and cancer genomics. His most impactful work addresses the critical challenge of cancer therapy resistance, notably through the development of CellResDB—a landmark patient-level single-cell database that enables systematic dissection of resistance mechanisms with unprecedented resolution. By integrating single-cell RNA-seq data with rich clinical annotations, Zou’s resource overcomes the limitations of bulk sequencing approaches, empowering researchers to identify cell-state-specific drivers of treatment failure. His contributions have garnered significant attention, with his highly cited papers collectively accumulating thousands of citations, reflecting their transformative influence on precision oncology. Beyond this, Zou has made substantial strides in developing computational tools for biomarker discovery and multi-omics data integration, consistently bridging the gap between big data and biological insight. His work not only advances fundamental understanding of tumor heterogeneity but also provides actionable resources for designing next-generation therapeutic strategies. For students and researchers, Quan Zou exemplifies how innovative computational frameworks can unlock the complexities of human disease.
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Top Papers
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