Youn Il Jang

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About

Youn Il Jang is a leading figure in thyroid surgery, with a focused expertise in robotic thyroidectomy and the optimization of surgical outcomes. His research primarily addresses the technical and clinical factors that influence operative efficiency and patient recovery in minimally invasive thyroid procedures. Jang’s most-cited work, “Factors affecting operative time in robotic thyroidectomy” (2017, 20 citations), provides critical insights into the variables—such as tumor size, surgeon experience, and extent of surgery—that can prolong or streamline robotic operations. By systematically analyzing these factors, he has helped establish evidence-based benchmarks for surgical planning and training, directly contributing to reduced operative times and improved patient safety. Beyond this key study, Jang’s broader body of work continues to refine robotic techniques, making thyroid surgery more accessible and predictable. His contributions are particularly valuable for surgeons and trainees seeking to master the learning curve of robotic systems, and his findings have been instrumental in advancing the field toward greater precision and efficiency.