About

Atsushi Takenaka is a prominent urological surgeon and anatomist whose research has fundamentally shaped the understanding of pelvic anatomy in the context of minimally invasive prostate and kidney surgery. His most influential contributions center on the precise neural and vascular architecture surrounding the prostate gland, particularly the neurovascular bundle, accessory neural pathways, and the concept of a "tri-zonal" neural architecture — work that has guided surgeons worldwide in performing nerve-sparing robotic prostatectomy with greater precision and safety, earning nearly 200 citations for his landmark 2006 study alone. Takenaka has also pioneered surgical techniques aimed at preserving urinary continence, most notably the anatomic restoration technique and puboprostatic collar preservation during robotic prostatectomy, collectively accumulating over 260 citations. These innovations translated anatomical insights directly into improved patient outcomes. Beyond prostate surgery, his research extends to robot-assisted partial nephrectomy, including multicenter Japanese studies evaluating hilar tumor outcomes and "trifecta" functional results. His broader reviews on pelvic anatomy and the evolving status of robotic urology reflect a career dedicated to bridging surgical anatomy with advancing technology — making him an essential figure in the global development of robotic urological surgery.

Research Focus

Key Achievements

18
H-Index
68
Papers
1,404
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
The proximal neurovascular plate and the tri‐zonal neural architecture around the prostate gland: importance in the athermal robotic technique of nerve‐sparing prostatectomy
199 citations · 2006
📈 Most Prolific Year: 2022 (9 Papers)
🤝 Key Collaborators: 240
🏛 Institutions: NewYork–Presbyterian Hospital, Presbyterian Hospital, Cornell University, Kobe University, The Japanese Society of Gastroenterological Surgery, Tottori University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 36 days ago