Shuhei Yoshida

Kanazawa University

Papers

1

Total Citations

4

H-Index

1

About

Shuhei Yoshida is a leading thoracic surgeon whose research focuses on advancing minimally invasive surgical techniques for lung cancer treatment. His most notable contribution is the landmark J-RATSIG 01 study, a prospective multi-institutional investigation that demonstrated the non-inferiority of postoperative pain outcomes in robot-assisted thoracic surgery (RATS) compared to video-assisted thoracoscopic surgery (VATS). This work, published in 2024 with 4 citations, provides critical evidence supporting the broader adoption of robotic approaches in thoracic oncology. Yoshida’s research addresses a key clinical question: whether the technological advantages of RATS translate into meaningful patient benefits without compromising safety or recovery. By coordinating a large-scale, multi-center trial, he has helped establish rigorous comparative data in a field often dominated by retrospective analyses. His findings are particularly valuable for surgeons weighing the costs and learning curves of robotic systems against traditional VATS. Beyond this study, Yoshida’s work contributes to the ongoing evolution of lung cancer surgery, where precision and reduced trauma are paramount. For students and researchers, his research exemplifies how well-designed prospective trials can resolve debates in surgical practice, directly influencing clinical guidelines and patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A prospective multi-institutional study to verify the non-inferiority of postoperative pain in robot-assisted thoracic surgery in comparison with video-assisted thoracoscopic surgery for lung cancer: The Japanese RATS interest group 01 (J-RATSIG 01)
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Kanazawa University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago