Papers

12

Total Citations

156

H-Index

7

About

Shaogang Wang is a urological surgeon and researcher whose work centers on minimally invasive and robotic-assisted urological surgery, with particular expertise in ureteral reconstruction, ureteropelvic junction obstruction, and oncological procedures including prostatectomy and partial nephrectomy. His most influential contributions compare robotic-assisted laparoscopic approaches against conventional laparoscopic and open surgical techniques, consistently demonstrating the safety, efficacy, and clinical advantages of robotic platforms in complex reconstructive urology. His 2019 study on robot-assisted versus conventional laparoscopic ureteroureterostomy for ureteral stenosis has garnered 32 citations, establishing him as a leading voice in ureteral surgery outcomes research. Wang has made notable contributions to the management of challenging recurrent conditions — including recurrent ureteral strictures and failed pyeloplasties — where surgical consensus has historically been elusive. His systematic reviews and meta-analyses, particularly on Retzius-sparing radical prostatectomy and secondary robotic pyeloplasty, reflect a commitment to synthesizing evidence across the broader urological literature. More recently, his work on partial nephrectomy techniques for complex and high-stage renal tumors underscores his drive to expand the boundaries of nephron-sparing surgery, making his body of work essential reading for surgeons navigating advanced minimally invasive urology.

Research Focus

Key Achievements

7
H-Index
12
Papers
156
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Management for Ureteral Stenosis: A Comparison of Robot-Assisted Laparoscopic Ureteroureterostomy and Conventional Laparoscopic Ureteroureterostomy
32 citations · 2019
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 86
🏛 Institutions: Tongji Hospital, Huazhong University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago