Papers

7

Total Citations

104

H-Index

4

About

Xudong Duan is an orthopedic surgeon and clinical researcher whose work centers on robotic-assisted joint replacement surgery, with a particular focus on total knee arthroplasty (TKA) and total hip arthroplasty (THA). His research has made significant contributions to evaluating the clinical efficacy, precision, and learning curves associated with next-generation robotic surgical systems, helping to establish evidence-based frameworks for their adoption in orthopedic practice. Duan's most impactful work includes a prospective, multicenter randomized controlled trial demonstrating that robotic-assisted TKA offers distinct advantages for patients with severe knee deformity, a study that has already garnered 47 citations since its 2023 publication. Alongside this, his investigations into seven-axis robotic systems for both knee and hip arthroplasty have clarified that these platforms can deliver superior implant positioning and reduced leg length discrepancy without imposing a steep learning curve on surgeons—findings with important implications for surgical training and patient safety. More recently, Duan has advanced the integration of radiomics and clinical indicators into predictive modeling for postoperative outcomes and patient satisfaction, reflecting a forward-looking commitment to personalized, data-driven orthopedic care. With over 100 cumulative citations concentrated within just two years, his work is rapidly shaping the future of robotic-assisted arthroplasty.

Research Focus

Key Achievements

4
H-Index
7
Papers
104
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted total knee arthroplasty is more advantageous for knees with severe deformity: a randomized controlled trial study design
47 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: United States Bone and Joint Initiative, Second Affiliated Hospital of Xi'an Jiaotong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago