Tomohisa Egawa

Papers

2

Total Citations

2

H-Index

1

About

Tomohisa Egawa is a pioneering robotic surgeon whose work centers on advancing minimally invasive surgical techniques for complex, multi-organ oncologic cases. His research focuses on the intersection of robotic surgery, synchronous cancer management, and artificial intelligence in surgical practice. Egawa’s major contribution includes the development and description of a novel posterior approach for simultaneous robotic hemicolectomy and robotic partial nephrectomy, a landmark procedure for patients with synchronous colorectal and renal malignancies. This technique, detailed in his 2024 paper, demonstrates the feasibility and safety of addressing two primary tumors in a single robotic session, reducing operative trauma and recovery time. His 2025 multicenter retrospective analysis on AI-driven anatomical recognition in robotic gastrectomy further underscores his commitment to integrating machine learning into the operating room, aiming to enhance surgical precision and safety. Though his most-cited works are recent, their citation counts reflect the emerging nature of this cutting-edge field. Egawa’s work is notable for pushing the boundaries of what is achievable with robotic platforms, offering new hope for patients with multiple cancers and setting a precedent for future multi-disciplinary, technology-enhanced surgical strategies.

Research Focus

Key Achievements

1
H-Index
2
Papers
2
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneous robotic hemicolectomy and robotic partial nephrectomy via a posterior approach
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 21

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago