Young Woo Chang

Korea University, Ansan University, Youngsan University

Papers

13

Total Citations

145

H-Index

5

About

Young Woo Chang is a surgical innovator whose research sits at the intersection of minimally invasive and robotic-assisted surgery, with particular expertise in breast oncology and endocrine surgery. His work has significantly advanced the field of nipple-sparing mastectomy (NSM), where he has systematically compared conventional, endoscopic, and robotic approaches to help surgeons and patients make informed decisions balancing cosmetic outcomes, safety, and cost-effectiveness. His 2021 and 2024 studies on single-incision endoscopic and minimal-access NSM have together garnered over 65 citations, reflecting their immediate clinical relevance. Beyond breast surgery, Chang has made notable contributions to thyroid surgery, rigorously evaluating robotic and endoscopic transaxillary thyroidectomy techniques—including the novel GOSTA single-port approach—and directly comparing da Vinci robotic platforms to identify meaningful performance differences. His research extends further to robotic and laparoscopic adrenalectomy, underscoring a broader commitment to optimizing minimally invasive techniques across surgical specialties. Through multi-institutional collaborations and retrospective cohort studies, Chang consistently provides surgeons with practical, evidence-based guidance, establishing himself as a leading voice in the evolution of scarless and cosmetically sensitive surgical oncology.

Research Focus

Key Achievements

5
H-Index
13
Papers
145
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Single Incision Endoscopic Nipple-Sparing Mastectomy and Conventional Nipple-Sparing Mastectomy for Breast Cancer Based on Initial Experience
33 citations · 2021
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Korea University, Ansan University, Youngsan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago