Zhishuang Wen

Sun Yat-sen University

Papers

1

Total Citations

8

H-Index

1

About

Zhishuang Wen is a clinical anesthesiologist whose research focuses on optimizing perioperative respiratory management, particularly in the context of robot-assisted laparoscopic surgeries. Her most influential work investigates the effects of driving pressure-guided ventilation with individualized positive end-expiratory pressure (PEEP) on oxygenation during robot-assisted laparoscopic radical prostatectomy. In a randomized controlled clinical trial, Wen demonstrated that personalized PEEP settings, tailored to minimize driving pressure, significantly improve intraoperative oxygenation and lung mechanics compared to conventional fixed PEEP strategies. This contribution addresses a critical gap in protective ventilation for patients undergoing prolonged pneumoperitoneum and steep Trendelenburg positioning, conditions that pose substantial risks for atelectasis and hypoxemia. With 8 citations since 2023, her study has quickly gained recognition among anesthesiologists seeking evidence-based approaches to reduce pulmonary complications in minimally invasive urologic surgery. Wen’s work underscores the importance of individualized ventilator settings in enhancing patient outcomes, positioning her as a rising voice in the field of perioperative lung protection. Her research continues to inform clinical protocols, bridging the gap between physiological principles and practical application in the operating room.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Effects of driving pressure-guided ventilation by individualized positive end-expiratory pressure on oxygenation undergoing robot-assisted laparoscopic radical prostatectomy: a randomized controlled clinical trial
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago