Papers

3

Total Citations

142

H-Index

3

About

Yukako Yagi is a pioneering researcher in digital pathology and biomedical imaging, whose work has significantly advanced the transition from traditional analog methods to cutting-edge digital and three-dimensional imaging technologies. With a career focused on whole slide imaging (WSI) and its clinical applications, Yagi has been instrumental in establishing the scientific and practical foundations for modern computational pathology workflows. Her most cited work, "Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology" (2017, 72 citations), explores how high-throughput 3D imaging systems are transforming the assessment of physiologic and phenotypic detail in tissue samples — a landmark contribution to the field. Her earlier studies, including her influential 2008 investigations into slide quality's relationship with WSI image capture and the integration of automated imaging into pre-diagnostic pathology workflows, helped define best practices that laboratories worldwide now rely upon. Yagi's research consistently bridges technological innovation and clinical utility, addressing real-world variables such as tissue sectioning consistency that affect imaging outcomes. Her cumulative impact, with over 140 citations across key publications, makes her an essential voice for students and researchers seeking to understand the evolution and future trajectory of digital pathology.

Research Focus

Key Achievements

3
H-Index
3
Papers
142
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology
72 citations · 2017
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Memorial Sloan Kettering Cancer Center, Harvard University, Boston University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago