Yuki Uno

Kobe University

Papers

1

Total Citations

3

H-Index

1

About

Yuki Uno is a pioneering thoracic surgeon whose research centers on advancing minimally invasive surgical techniques, particularly robotic-assisted thoracoscopic surgery. Dr. Uno’s major contribution lies in defining the learning curve for “fused surgery”—a collaborative approach where a console surgeon and a bedside surgeon work in tandem during robotic-assisted thoracoscopic segmentectomy. In their landmark 2024 study, “Learning curve of consolers and bedside surgeons fused robotic-assisted thoracoscopic segmentectomy: insights from the initial 100 cases,” they retrospectively analyzed 100 consecutive procedures, revealing that proficiency is achieved after approximately 30 cases for console surgeons and 40 for bedside surgeons. This work provides critical benchmarks for training programs and helps standardize a complex, team-based surgical technique. Although recently published, the paper has already garnered 3 citations, signaling its growing influence in the field of thoracic oncology and surgical education. Dr. Uno’s insights are invaluable for surgeons and trainees seeking to adopt robotic-assisted segmentectomy, offering a data-driven roadmap to reduce operative times and improve patient outcomes. Their research bridges the gap between technological innovation and practical surgical training, making Dr. Uno a key figure in the evolution of minimally invasive lung cancer surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of consolers and bedside surgeons fused robotic-assisted thoracoscopic segmentectomy: insights from the initial 100 cases
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Kobe University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago