Papers
7
Total Citations
84
H-Index
5
About
Xinying Li is a surgical researcher whose work sits at the intersection of minimally invasive thyroid surgery, robotic-assisted techniques, and patient-centered outcomes. With a career spanning over a decade, Li has made meaningful contributions to the advancement of endoscopic and robotic thyroidectomy, consistently prioritizing cosmetic outcomes and quality of life alongside oncological efficacy. Their most-cited work, "Endoscopic Lateral Neck Dissection: A New Frontier in Endoscopic Thyroid Surgery" (2021, 27 citations), helped establish endoscopic approaches to lateral neck dissection as viable alternatives to disfiguring open procedures. Li has also explored the learning curve of robotic thyroidectomy via the bilateral axillary breast approach (BABA), providing surgeons with practical benchmarks for safe adoption of the technique (2022, 20 citations). Notably, their investigations into indocyanine green angiography in robotic thyroid cancer surgery demonstrate a commitment to intraoperative innovation and parathyroid preservation. More recently, Li has extended their scope to include comprehensive reviews of postoperative assessment methods for endoscopic thyroidectomy and, intriguingly, early research into public attitudes toward artificial intelligence agents. Across these diverse contributions, Li's work reflects a sustained dedication to improving surgical safety, patient experience, and clinical outcomes.
Research Focus
Key Achievements
Top Papers
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