Papers

3

Total Citations

17

H-Index

3

About

Shiki Fujino is a colorectal surgeon and researcher whose work focuses on improving surgical outcomes for rectal and colon cancer patients through predictive modeling and cutting-edge technology. Fujino’s key research areas include low anterior resection syndrome (LARS), robotic surgery, and the application of mixed reality in operative settings. In their most cited work (7 citations), Fujino developed and evaluated a Japanese prediction model for LARS after rectal cancer surgery, identifying key predictive factors to help clinicians anticipate and manage this common postoperative complication. Another notable contribution (6 citations) describes the first reported use of mixed reality 3D models during robotic rectal cancer surgery, demonstrating how augmented visualization can enhance surgical precision. Fujino also contributed to the literature on robotic complete mesocolic excision for right-sided colon cancer with bulky lymph node metastases (4 citations), showcasing advanced techniques using the da Vinci system. These studies, though recently published, have already garnered attention for their practical clinical applications and innovative integration of digital technologies. Fujino’s work represents a meaningful step toward personalized, technology-enhanced colorectal cancer care.

Research Focus

Key Achievements

3
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Development and evaluation of a Japanese prediction model for low anterior resection syndrome after rectal cancer surgery
7 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: The University of Osaka, Osaka International Cancer Institute, Minoh City Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago