Papers
6
Total Citations
55
H-Index
5
About
Yannan Sheng is a surgical researcher specializing in minimally invasive and robotic-assisted surgery, with a particular focus on thoracic oncology and gynecological procedures. Their work sits at the intersection of emerging surgical technologies and clinical outcomes, examining how robotic platforms — particularly the da Vinci surgical system — compare to conventional minimally invasive techniques across a range of complex conditions. Sheng's most influential contributions include a systematic meta-analysis comparing robotic-assisted laparoscopic myomectomy with standard laparoscopic approaches (17 citations), and several rigorous retrospective studies evaluating robotic thoracoscopic surgery for posterior and anterior mediastinal tumors, mediastinal cysts, and lung cancer. These studies collectively advance understanding of perioperative safety, surgical efficacy, and patient recovery across different robotic approaches and instrument choices. Notably, Sheng's propensity score matching study on body trauma and lymphocyte subsets in lung cancer patients adds meaningful immunological insight to the robotic versus thoracoscopic surgery debate. With publications spanning 2022–2023 and accumulating over 55 citations in a short period, Sheng's research is gaining rapid recognition. Their body of work offers valuable evidence-based guidance for surgeons navigating the expanding role of robotics in modern surgical practice.
Research Focus
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