Papers
6
Total Citations
276
H-Index
6
About
Ra-Yeong Song is a leading surgeon in the field of robotic thyroid surgery, whose work has fundamentally advanced the safety and application of minimally invasive techniques, particularly the bilateral axillo-breast approach (BABA). Her research focuses on expanding the indications for robotic thyroidectomy, demonstrating its oncological completeness for large thyroid carcinomas and its feasibility for complex procedures like bilateral modified radical neck dissection. A major contribution is her pioneering work on intraoperative localization of parathyroid glands using indocyanine green and Firefly technology, a technique that has garnered 92 citations for its potential to reduce surgical complications. Song has also been instrumental in improving patient outcomes, notably through the development of a novel iPad-based self-reporting application to systematically study postoperative pain, and by investigating preoperative flap-site injections to enhance recovery. Her comparative studies have validated the safety of BABA robotic thyroidectomy for challenging conditions such as Graves’ disease. With over 275 citations across her most influential works, Song’s research provides critical evidence that robotic approaches can be both safe and oncologically sound, shaping modern surgical practice for thyroid cancer.
Research Focus
Key Achievements
Top Papers
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