Papers
3
Total Citations
71
H-Index
3
About
Song Su is a leading figure in the advancement of minimally invasive hepatobiliary and splenic surgery, with a research focus on comparing the efficacy of robotic, laparoscopic, and single-incision techniques. Su’s major contributions include a landmark 2022 systematic review and network meta-analysis (31 citations) that comprehensively compared five cholecystectomy approaches—single-incision laparoscopic, mini-laparoscopic, four-port, three-port, and single-incision robotic—providing crucial evidence for surgical decision-making. In 2025, Su published a pivotal meta-analysis of propensity-score matched studies (22 citations) evaluating robotic versus laparoscopic hepatectomy, addressing a key question in liver surgery by analyzing whether robotic techniques offer tangible advantages over the laparoscopic gold standard. Additionally, Su’s 2019 meta-analysis (18 citations) compared robot-assisted and laparoscopic splenectomy for non-traumatic splenic diseases, establishing safety and effectiveness profiles for both approaches. With over 70 total citations across these three highly influential works, Su’s research directly informs clinical practice by synthesizing high-level evidence on emerging surgical technologies, making their work essential reading for surgeons and researchers exploring the frontier of robotic-assisted minimally invasive surgery.
Research Focus
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Top Papers
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