Sun Joon Bai

Yonsei University

Papers

15

Total Citations

533

H-Index

10

About

Sun Joon Bai is a distinguished anesthesiologist and surgical researcher whose work has profoundly advanced our understanding of perioperative management in minimally invasive and robotic surgery. Bai's research centers on the physiological challenges posed by robot-assisted laparoscopic procedures, particularly the hemodynamic and pressure-related complications arising from steep Trendelenburg positioning and CO₂ pneumoperitoneum. His landmark 2014 study demonstrating elevated intracranial pressure through ultrasonographic measurement of optic nerve sheath diameter (114 citations) established a critical safety framework for surgeons and anesthesiologists worldwide. Equally influential is his investigation showing that total intravenous anesthesia with propofol significantly reduces postoperative nausea and vomiting following robotic prostatectomy (85 citations), offering practical clinical guidance. Bai has also made important contributions to understanding intraocular pressure management during robotic procedures, examining the roles of anesthetic agents, dexmedetomidine, and neuromuscular blockade depth in mitigating ocular risk. His broader portfolio spans pediatric robotic surgery, ventilation strategies, and novel analgesic agents such as VVZ-149. With a cumulative citation record exceeding 400, Bai's work continues to shape safer, more effective anesthetic and surgical protocols for patients undergoing complex minimally invasive procedures.

Research Focus

Key Achievements

10
H-Index
15
Papers
533
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Increase in Intracranial Pressure During Carbon Dioxide Pneumoperitoneum with Steep Trendelenburg Positioning Proven by Ultrasonographic Measurement of Optic Nerve Sheath Diameter
114 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Yonsei University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago