Chin‐Jung Wang

Chang Gung University, Linkou Chang Gung Memorial Hospital

Papers

2

Total Citations

20

H-Index

1

About

Chin-Jung Wang is a gynecologic surgeon and clinical researcher whose work has significantly advanced minimally invasive surgical techniques for gynecological conditions, with a particular focus on endometrial cancer and hysterectomy. Wang's research spans robotic-assisted laparoscopy, natural orifice transluminal endoscopic surgery (vNOTES), and laparoscopically-assisted vaginal hysterectomy (LAVH), consistently exploring how emerging technologies can improve patient outcomes and surgical feasibility. Among Wang's most recognized contributions is a pioneering 2010 study on robot-assisted laparoscopic staging surgery for endometrial cancer, which garnered 19 citations and helped establish early evidence for the safety and practicality of robotic surgical programs in oncological gynecology. This work addressed key technical challenges inherent to traditional laparoscopic hysterectomy, positioning robotic assistance as a transformative tool in the field. More recently, Wang's 2025 comparative study examining vNOTES against conventional and robotic-assisted approaches to hysterectomy reflects a sustained commitment to refining surgical decision-making and identifying factors that guide approach selection. Together, Wang's body of work represents a forward-looking research trajectory that bridges innovation with clinical application, offering valuable guidance to surgeons navigating an increasingly diverse landscape of minimally invasive gynecological procedures.

Research Focus

Key Achievements

1
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted Laparoscopic Staging Surgery for Endometrial Cancer—A Preliminary Report
19 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Chang Gung University, Linkou Chang Gung Memorial Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago