Papers

14

Total Citations

341

H-Index

7

About

Junqiang Wang is a prominent orthopedic surgeon and researcher whose work sits at the intersection of robotic-assisted surgery, computer navigation, and minimally invasive fixation techniques. His research has fundamentally advanced the precision and safety of complex orthopedic procedures, particularly in the treatment of pelvic and femoral injuries. Wang's most celebrated contribution — a 2017 study on robot-assisted percutaneous sacroiliac screw placement using the TiRobot™ system, which has garnered over 106 citations — demonstrated that surgical robotics could substantially reduce the risk of screw malposition in anatomically demanding pelvic surgeries. Building on this foundation, he has repeatedly validated robotic and computer-navigated approaches for femoral neck fractures, showing improved accuracy over traditional freehand techniques across multiple study designs and patient cohorts. His comparative analyses of bi-planar robot navigation versus optoelectronic navigation systems have helped establish evidence-based benchmarks for technology adoption in orthopedic theaters. More recently, Wang has extended his expertise into joint reconstruction, reporting the first successful 3D image-guided robot-assisted reverse shoulder arthroplasty and evaluating patient-specific instrumentation for hip replacement. With a cumulative citation record reflecting broad influence across two decades, Wang's career exemplifies a sustained commitment to translating emerging surgical technologies into measurable clinical improvements.

Research Focus

Key Achievements

7
H-Index
14
Papers
341
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Percutaneous Sacroiliac Screw Placement
106 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 102
🏛 Institutions: Peking University, Yangtze River Delta Physics Research Center (China), Capital Medical University

Top Papers

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    Metallic glass roadmap
    13 citations · 2025
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago