Papers

22

Total Citations

616

H-Index

15

About

Fabio Catani is a leading orthopaedic researcher whose work is reshaping joint replacement surgery through the precision of robotic-arm assistance. His primary research areas focus on total and unicompartmental knee arthroplasty (TKA/UKA) and total hip arthroplasty, with a particular emphasis on functional alignment and patient-specific surgical techniques. Catani’s major contributions include demonstrating the reliability of the MAKO CT-based robotic system for TKA—a landmark systematic review with 197 citations—and establishing that robotic-arm-assisted UKA achieves high survivorship and excellent patient outcomes. He has pioneered the concept of “functional knee positioning,” a shift from traditional alignment to a three-dimensional, soft-tissue-driven approach, and shown that joint line restoration and component placement critically influence clinical success. His work, including studies with 49 and 43 citations, consistently validates that robotic assistance reduces variability and improves accuracy. Catani’s research has redefined standards in arthroplasty, offering surgeons evidence-based pathways to enhance implant longevity and patient satisfaction. His ongoing influence is evident in his recent 2024 and 2025 publications, which continue to refine alignment philosophies and functional outcomes.

Research Focus

Key Achievements

15
H-Index
22
Papers
616
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
MAKO CT‐based robotic arm‐assisted system is a reliable procedure for total knee arthroplasty: a systematic review
197 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: University of Modena and Reggio Emilia, Azienda Ospedaliero-Universitaria di Modena

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago