Jun Ha Hwang

Ulsan College

Papers

1

Total Citations

30

H-Index

1

About

Jun Ha Hwang is a leading anesthesiology researcher whose work focuses on optimizing hemodynamic management during complex surgical procedures. His most cited study, "Prediction of Fluid Responsiveness Using Dynamic Preload Indices in Patients Undergoing Robot-Assisted Surgery with Pneumoperitoneum in the Trendelenburg Position" (2013, 30 citations), represents a landmark contribution to perioperative medicine. In this investigation, Hwang demonstrated that pulse pressure variation (PPV) and stroke volume variation (SVV) effectively predict fluid responsiveness in patients undergoing robot-assisted laparoscopic prostatectomy—a challenging scenario involving pneumoperitoneum and the steep Trendelenburg position. By studying 42 patients without cardiopulmonary disease, he provided critical evidence that these dynamic preload indices remain reliable even under the unique physiological stresses of robotic surgery. This work has significant clinical implications, helping anesthesiologists make more precise fluid management decisions during minimally invasive procedures. Hwang's research bridges the gap between traditional hemodynamic monitoring and the demands of modern surgical techniques, establishing him as a key figure in advancing patient safety and outcomes in robotic-assisted surgeries. His findings continue to guide clinical practice and inspire further investigation into dynamic monitoring in challenging surgical environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Prediction of Fluid Responsiveness Using Dynamic Preload Indices in Patients Undergoing Robot-Assisted Surgery with Pneumoperitoneum in the Trendelenburg Position
30 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ulsan College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago