Junbiao Fang

Zhejiang Provincial People's Hospital

Papers

1

Total Citations

5

H-Index

1

About

Junbiao Fang is a clinical anesthesiology researcher whose work focuses on optimizing perioperative respiratory management, particularly in urological oncology surgeries. His key research area centers on lung-protective ventilation strategies, with a specific emphasis on determining the appropriate positive end-expiratory pressure (PEEP) during robot-assisted laparoscopic procedures. Fang's major contribution lies in addressing a critical gap in surgical care: while lung-protective ventilation is known to benefit abdominal surgery patients, the optimal PEEP level for high-risk procedures like radical cystectomy and prostatectomy remained undefined. His 2019 study protocol for a randomized controlled trial, which has garnered 5 citations, establishes a rigorous framework to evaluate how intraoperative PEEP settings affect postoperative pulmonary complications. This work is particularly significant given the unique physiological challenges of robotic surgery, including pneumoperitoneum and steep Trendelenburg positioning. By systematically investigating PEEP titration, Fang's research provides an evidence-based roadmap for anesthesiologists to reduce respiratory complications in vulnerable patient populations. His protocol-driven approach exemplifies how methodologically sound clinical trial design can translate into tangible improvements in surgical safety and patient recovery outcomes.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Effects of intraoperative PEEP on postoperative pulmonary complications in patients undergoing robot-assisted laparoscopic radical resection for bladder cancer or prostate cancer: study protocol for a randomized controlled trial
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Zhejiang Provincial People's Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago