Papers

3

Total Citations

621

H-Index

3

About

J Pietrzak is a leading orthopaedic researcher whose work focuses on the transformative potential of robotic-arm assisted technology in knee arthroplasty. His primary research areas include the clinical outcomes, surgical accuracy, and learning curves associated with robotic-assisted total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA). In his most-cited work (407 citations), Pietrzak demonstrated that robotic-arm assisted TKA leads to significantly improved early functional recovery and reduced hospital stays compared to conventional jig-based techniques, providing compelling evidence for the technology’s patient-centered benefits. He also established the surgical team’s learning curve for robotic UKA (150 citations), offering a practical roadmap for safe adoption. Further, his investigation into preoperative CT-based 3D templating (64 citations) showed that this method predicts implant sizes more accurately than traditional 2D templating, a critical contribution to reducing surgical error and improving implant longevity. Through these high-impact studies, Pietrzak has positioned himself as a key voice in the evidence-based integration of robotics into orthopaedic surgery, helping to define best practices that enhance both surgical precision and patient recovery.

Research Focus

Key Achievements

3
H-Index
3
Papers
621
Total Citations
207
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-arm assisted total knee arthroplasty is associated with improved early functional recovery and reduced time to hospital discharge compared with conventional jig-based total knee arthroplasty
407 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The Princess Grace Hospital, University College Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago