Akira Tsuchiya

Teikyo University

Papers

2

Total Citations

6

H-Index

2

About

Akira Tsuchiya is an emerging clinical researcher specializing in minimally invasive gynecologic surgery, with a particular focus on comparing robotic-assisted and conventional laparoscopic approaches to hysterectomy. Based at a regional institution, Tsuchiya's work addresses a critical gap in the surgical literature: understanding how advanced robotic technologies perform in community and rural hospital settings, where access to cutting-edge procedures is often limited and cost considerations are paramount. Tsuchiya's most recognized contributions center on rigorous retrospective analyses evaluating the safety, efficacy, and operational outcomes of robotic-assisted laparoscopic hysterectomy (RALH) versus total laparoscopic hysterectomy (TLH), including their application in the treatment of stage I endometrial cancer. These studies are particularly valuable for clinicians navigating the complex trade-offs between the technical advantages of robotic surgery and its substantial financial costs. By situating this evidence within a regional context, Tsuchiya advocates for evidence-based adoption of surgical innovation beyond major academic centers. Though still in the early stages of building a citation record — with 4 and 2 citations respectively for his 2023 publications — Tsuchiya's research addresses pressing real-world surgical questions, making his work increasingly relevant to gynecologic oncologists and minimally invasive surgery specialists worldwide.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of robotic-assisted laparoscopic hysterectomy to total laparoscopic hysterectomy in terms of operational complications at a regional institution: A retrospective study
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Teikyo University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago