D R Kang

Papers

Total Citations

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About

D. R. Kang is a surgical oncologist whose pioneering work focuses on minimally invasive techniques for esophageal cancer, particularly robotic-assisted esophagectomy. His most-cited study, "Learning curve for robotic esophagectomy and dissection of bilateral recurrent laryngeal nerve nodes for esophageal cancer" (2018), has garnered 5 citations, establishing a foundational benchmark for surgeons adopting this complex procedure. Kang’s major contribution lies in systematically defining the proficiency thresholds required to safely perform robotic dissection of bilateral recurrent laryngeal nerve lymph nodes—a high-risk maneuver critical for improving oncologic outcomes while preserving vocal cord function. By quantifying the learning curve, he has provided a roadmap for training and quality assurance in robotic esophageal surgery, directly impacting patient safety and surgical education. His work bridges the gap between technological innovation and clinical application, offering evidence-based guidance for integrating robotics into thoracic oncology. Though his citation count reflects a niche but vital area, Kang’s research is instrumental for surgeons navigating the steep learning curve of advanced robotic techniques, ultimately aiming to reduce complications and enhance survival in esophageal cancer patients. His dedication to refining surgical protocols underscores his role as a key contributor to the evolution of robotic-assisted cancer care.