Jiaxiang Gao
Papers
2
Total Citations
26
H-Index
2
About
Jiaxiang Gao is a leading researcher in orthopedic surgery, with a focus on advancing total knee arthroplasty (TKA) through technology-assisted techniques. His work centers on evaluating the comparative effectiveness of robot-assisted surgery (RAS), computer-assisted navigation systems (CAS), and conventional methods in joint replacement. Gao’s major contribution is a landmark Bayesian network meta-analysis and systematic review (2020, 18 citations), which provided rigorous evidence on the radiological and clinical outcomes of these technologies, helping to clarify ongoing debates in the field. He also pioneered the use of public interest analytics in orthopedics, as demonstrated in his 2023 study (8 citations) using Google Trends to assess how robotic assistance and computer navigation capture public attention. This innovative approach bridges clinical research with patient and societal perspectives. Gao’s work has been cited over 26 times, reflecting its growing influence in shaping evidence-based surgical practices. His research not only informs surgeons on optimal techniques but also highlights the importance of public perception in technology adoption, making him a key voice in the future of joint arthroplasty.
Research Focus
Key Achievements
Top Papers
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- 2