Yingxue Hao

Army Medical University

Papers

5

Total Citations

120

H-Index

5

About

Dr. Yingxue Hao is a pioneering surgeon and researcher whose work has fundamentally advanced the application of robotic surgery in the treatment of gastric and colorectal cancers. Her primary research focus lies in defining the learning curve, safety, and long-term efficacy of robotic-assisted gastrectomy. Dr. Hao’s seminal 2015 paper, cited 61 times, was the first to use Cumulative Summation (CUSUM) analysis to objectively map the learning curve for robot-assisted gastrectomy, providing a critical benchmark for surgical training. She further demonstrated the advantages of the robotic platform in a 2020 propensity score-matched study (33 citations), showing superior short-term outcomes for robotic versus laparoscopic total gastrectomy in advanced gastric cancer. Her foundational 2012 report on 41 cases (11 citations) established the initial feasibility of the da Vinci system for radical gastrectomy, while her 2018 large-scale study (10 citations) provided crucial evidence on long-term oncological outcomes. By systematically validating robotic techniques from initial feasibility to long-term survival, Dr. Hao has helped shape modern minimally invasive surgical standards for gastric cancer.

Research Focus

Key Achievements

5
H-Index
5
Papers
120
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Cumulative summation analysis of learning curve for robot‐assisted gastrectomy in gastric cancer
61 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Army Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago