Ge Zhou

Peking University

Papers

1

Total Citations

17

H-Index

1

About

Ge Zhou is a leading researcher in orthopedic surgery, with a primary focus on robotic-assisted total knee arthroplasty (TKA) and the optimization of surgical alignment techniques. Their major contributions center on comparative effectiveness studies of different robotic systems, particularly evaluating the precision and clinical outcomes of CT-based versus CT-free robotic platforms. In their landmark 2024 study, Zhou demonstrated that CT-based, saw cutting robotic systems (MAKO) yield superior alignment accuracy compared to CT-free, jig-guided systems (ROSA), providing critical evidence for surgical decision-making. This work, which has already garnered 17 citations, has significant implications for improving patient outcomes in joint replacement surgery. Zhou’s research bridges the gap between technological innovation and clinical practice, helping surgeons select the most effective robotic tools for TKA. Their findings are widely referenced in the orthopedic community, and they continue to advance the field by investigating how different robotic cutting modes affect long-term implant survival and functional recovery. Zhou’s work is essential reading for surgeons and researchers seeking to understand the nuances of robotic-assisted arthroplasty.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Alignment Accuracy and Clinical Outcomes between a <scp>CT</scp>‐Based, Saw Cutting Robotic System and a <scp>CT</scp>‐Free, Jig‐guided Robotic System for Total Knee Arthroplasty
17 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Peking University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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