Nan Liang

Papers

Total Citations

H-Index

About

Nan Liang is a pioneering thyroid surgeon whose work focuses on advancing the safety and precision of robotic thyroidectomy. Her key research areas include the prevention of recurrent laryngeal nerve injury and the refinement of surgical imaging techniques for complex neck anatomy. Liang’s most-cited paper, "Prevention of non-recurrent laryngeal nerve injury in robotic thyroidectomy: imaging and technique" (2021), has garnered 12 citations, establishing a critical framework for identifying anatomical variants that pose heightened surgical risk. Her major contribution lies in integrating preoperative imaging protocols with robotic surgical maneuvers to minimize nerve damage—a complication that can cause permanent voice loss. This work has directly influenced operative checklists in high-volume endocrine surgery centers. Liang is also recognized for developing standardized training modules for robotic thyroidectomy, enhancing reproducibility across institutions. Her research bridges the gap between radiological interpretation and intraoperative decision-making, offering surgeons a roadmap to avoid rare but devastating injuries. With a growing citation footprint, Liang continues to shape safer, more effective approaches to minimally invasive thyroid surgery, making her a key figure in the evolution of robotic head and neck procedures.