Papers
16
Total Citations
1,122
H-Index
13
About
Yao‐Ming Wu is a pioneering hepatobiliary surgeon whose research has fundamentally reshaped the field of minimally invasive liver surgery, particularly in the high-stakes arena of living donor transplantation. His work centers on establishing the safety, efficacy, and superiority of robotic hepatectomy over traditional open and laparoscopic approaches. Wu’s landmark studies, including his 2016 paper on the robotic learning curve (180 citations) and his matched comparison of robotic versus open hepatectomy for hepatocellular carcinoma (151 citations), have provided critical evidence for the adoption of robotic techniques. He is globally recognized for demonstrating that robotic living donor right hepatectomy is not only feasible but can achieve superior outcomes for both donor and recipient, as shown in his 2024 prospective registry study of 3,448 cases (50 citations). His influential meta-analyses, including a 2020 systematic review of 2,728 cases (117 citations), have solidified the position of robotic liver surgery worldwide. Through his leadership in multicenter studies and expert consensus panels, Wu has been instrumental in defining best practices and setting the standard for minimally invasive donor hepatectomy, making him a transformative figure in modern hepatobiliary surgery.
Research Focus
Key Achievements
Top Papers
- 1Robotic major hepatectomy: Is there a learning curve?180 citations · 2016
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- 3Robotic liver donor right hepatectomy: A pure, minimally invasive approach148 citations · 2016
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- 6Robotic-assisted minimally invasive liver resection100 citations · 2014
- 7Expert Panel Statement on Laparoscopic Living Donor Hepatectomy75 citations · 2017
- 8Systematic review and meta‐analysis of robotic versus open hepatectomy72 citations · 2018
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