Zhengyao Song
Papers
2
Total Citations
19
H-Index
2
About
Zhengyao Song is a leading figure in the field of minimally invasive urological surgery, with a focused expertise in the management of complex ureteral strictures. His research is dedicated to advancing surgical techniques, particularly through the application of robot-assisted laparoscopy. Dr. Song’s major contributions include pioneering and refining robotic approaches for ureteral repair, as evidenced by his highly cited 2024 work on robot-assisted repair of ureteral strictures, which has garnered 17 citations. He has further solidified his impact through a comprehensive 2025 systematic review and meta-analysis comparing robotic-assisted, laparoscopic, and open buccal mucosa graft ureteroplasty, a study that provides crucial evidence for surgical decision-making despite its recent publication. By systematically evaluating outcomes across these modalities, Dr. Song is helping to establish robotic surgery as a safer, more effective standard for treating challenging strictures. His work not only demonstrates immediate clinical relevance but also shapes the future trajectory of urological reconstruction, making him a key voice for students and researchers interested in the intersection of technology and surgical innovation.
Research Focus
Key Achievements
Top Papers
- 1Robot-assisted repair of ureteral stricture17 citations · 2024
- 2