About

Linus Chuang is a pioneering gynecologic surgeon whose career has been defined by his leadership in minimally invasive and robotic-assisted surgical techniques for gynecologic cancers and conditions. His research has fundamentally shaped how clinicians approach surgical management of cervical and endometrial cancers, with a particular focus on comparing robotic platforms to conventional laparoscopic methods. Chuang's most influential work, cited over 164 times, established critical comparative benchmarks between robotic radical hysterectomy and total laparoscopic radical hysterectomy for early cervical cancer, helping surgeons make evidence-based choices for their patients. His 2008 study on fertility-sparing robotic radical trachelectomy demonstrated his commitment to preserving quality of life for young women facing cervical cancer diagnoses. Across multiple studies accumulating hundreds of citations, he has consistently demonstrated that robotic surgery can reduce complications and improve outcomes in endometrial cancer staging. His 2020 chapter "Robotic Surgery in Gynecology," already cited 65 times, reflects his recognition as a field authority. From evaluating learning curves for single-site robotic procedures to assessing thromboembolism risks in obese patients, Chuang's comprehensive body of work continues to guide surgical training and clinical decision-making in modern gynecologic oncology.

Research Focus

Key Achievements

10
H-Index
12
Papers
547
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Robotic radical hysterectomy versus total laparoscopic radical hysterectomy with pelvic lymphadenectomy for treatment of early cervical cancer.
164 citations · 2009
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Icahn School of Medicine at Mount Sinai, Danbury Hospital, Mount Sinai Hospital, Western Connecticut Health Network, Mount Sinai Medical Center

Top Papers

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    Robotic Surgery in Gynecology
    65 citations · 2020
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago