Papers

3

Total Citations

32

H-Index

3

About

Wentao Liu is an emerging surgical researcher specializing in robotic-assisted urological surgery, with a particular focus on minimally invasive approaches to prostate cancer and ureteropelvic junction obstruction. His work sits at the intersection of surgical innovation and evidence-based medicine, leveraging systematic reviews, meta-analyses, and predictive modeling to guide clinical decision-making. Liu's most-cited contribution, a 2023 meta-analysis comparing single-port versus multiple-port robot-assisted laparoscopic pyeloplasty (19 citations), critically evaluates the safety and feasibility of next-generation robotic platforms in reconstructive urology. Complementing this, his investigation into whether prior transurethral resection of the prostate compromises subsequent robotic radical prostatectomy outcomes (8 citations) addresses a clinically complex patient population often underrepresented in surgical literature. Perhaps most distinctive is Liu's work developing and validating nomogram-based risk prediction models for venous thromboembolism following robot-assisted radical prostatectomy — a complication representing a leading cause of postoperative mortality. Drawing on institutional data spanning nearly six years, this research offers practical tools for perioperative risk stratification. Collectively, Liu's growing body of work demonstrates a commitment to improving patient safety and surgical outcomes in robotic urology.

Research Focus

Key Achievements

3
H-Index
3
Papers
32
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Single-Port <i>vs</i> Multiple-Port Robot-Assisted Laparoscopic Pyeloplasty for the Treatment of Ureteropelvic Junction Obstruction: A Systematic Review and Meta-Analysis
19 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Central South University, Second Xiangya Hospital of Central South University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago