Hiroshi Kikuchi

Hokkaido University, Hokkaido University Hospital

Papers

5

Total Citations

63

H-Index

5

About

Hiroshi Kikuchi is a leading figure in urological surgery and surgical education, with a research portfolio that bridges clinical outcomes, operative training, and surgeon well-being. His most impactful work includes the development and validation of a porcine organ model for essential laparoscopic skills training (26 citations), a foundational contribution to simulation-based surgical education that provides a realistic, low-risk environment for learners. Kikuchi has also made significant strides in postoperative recovery, leading a randomized controlled trial demonstrating that pre- and postoperative supervised pelvic floor muscle training significantly improves continence recovery after robot-assisted radical prostatectomy (11 citations). His research extends to the systemic challenges of surgery: a prospective study quantifying surgeons' workloads and associated factors in real-world practice (8 citations) highlights his concern for healthcare professional burnout. Additionally, Kikuchi has investigated prognostic biomarkers, identifying stromal biglycan expression as a predictor of progression to castration-resistant prostate cancer (8 citations), and has conducted comparative analyses of postoperative complications after radical cystectomy in Japan (10 citations), underscoring persistent morbidity despite technological advances. Through this diverse body of work, Kikuchi demonstrates a commitment to improving both patient outcomes and the surgical training ecosystem.

Research Focus

Key Achievements

5
H-Index
5
Papers
63
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Development and validation of a porcine organ model for training in essential laparoscopic surgical skills
26 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: Hokkaido University, Hokkaido University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago