Dan Xing
Papers
2
Total Citations
26
H-Index
2
About
Dan Xing is a leading researcher in orthopedic surgery, with a primary focus on advancing joint arthroplasty through technology-driven innovations. His work centers on evaluating and comparing the efficacy of robotic-assisted surgery (RAS), computer-assisted navigation systems (CAS), and conventional techniques in total knee arthroplasty (TKA). Xing’s major contributions include conducting a Bayesian network meta-analysis and systematic review that synthesized evidence on the radiological and clinical outcomes of these emerging assistive technologies, providing crucial insights for surgeons and patients. This landmark study has garnered 18 citations, reflecting its impact on clinical decision-making. Additionally, Xing explored public interest in these technologies through a novel Google Trends analysis, revealing that robotic assistance captures more public attention than computer navigation in joint arthroplasty. This work, with 8 citations, highlights his ability to bridge clinical research with broader societal perspectives. Xing’s research is instrumental in guiding the adoption of precision surgery, making him a key voice in the evolution of modern orthopedic practice.
Research Focus
Key Achievements
Top Papers
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