Papers

2

Total Citations

33

H-Index

2

About

Shengpan Wu is a pioneering urologic surgeon whose research focuses on advancing robotic surgical techniques for complex renal cell carcinoma with inferior vena cava (IVC) tumor thrombus. His major contributions center on optimizing operative approaches and characterizing the learning curve for robot-assisted IVC thrombectomy, a technically demanding procedure traditionally performed via open surgery. In a landmark study of 120 cases at a single center, Wu employed cumulative sum analysis to delineate the operator learning curve for Mayo Clinic level I–IV thrombectomy, demonstrating that surgical proficiency is achievable with dedicated training and standardized protocols. This work, cited 25 times, provides critical benchmarks for surgeons adopting robotic approaches. Additionally, Wu compared retroperitoneal versus transperitoneal robotic IVC thrombectomy for right-sided level I–II thrombi, offering evidence-based guidance on perioperative hemodynamic outcomes and oncologic efficacy. His research has helped establish robotic IVC thrombectomy as a viable, less invasive alternative to traditional open surgery, with implications for reduced morbidity and faster recovery. Through systematic analysis of surgical technique and outcomes, Wu continues to shape the evolution of minimally invasive urologic oncology.

Research Focus

Key Achievements

2
H-Index
2
Papers
33
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Cumulative Sum Analysis of the Operator Learning Curve for Robot-Assisted Mayo Clinic Level I–IV Inferior Vena Cava Thrombectomy Associated with Renal Carcinoma: A Study of 120 Cases at a Single Center
25 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Chinese People's Liberation Army, Chinese PLA General Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago