Shu‐Fen Liao

Sun Yat-sen University

Papers

1

Total Citations

13

H-Index

1

About

Shu-Fen Liao is a clinical researcher whose work focuses on improving surgical outcomes for patients with pheochromocytoma (PCC), a rare adrenal tumor that poses significant perioperative risks. Her key research area centers on predicting and managing intraoperative hemodynamic instability (IHD), a life-threatening complication during PCC resection. Liao’s major contribution is the development and validation of a nomogram—a predictive tool that integrates clinical and biochemical parameters to forecast IHD risk before surgery. This work, published in 2022 and already cited 13 times, offers surgeons a practical, evidence-based method to stratify patients and tailor intraoperative management, potentially reducing mortality and morbidity. By addressing a critical gap in perioperative care for PCC, Liao’s research has direct clinical impact, guiding decisions in open, laparoscopic, and robot-assisted adrenalectomy. Her achievement lies in translating complex risk factors into an accessible scoring system, advancing precision medicine in endocrine surgery. For students and researchers, Liao’s work exemplifies how targeted predictive modeling can enhance safety in high-risk procedures, making her a notable contributor to surgical oncology and anesthesiology.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Pheochromocytoma
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago