Fortunato Giustra

University of Turin, Ospedale San Giovanni Bosco

Papers

3

Total Citations

33

H-Index

3

About

Fortunato Giustra is a leading orthopedic researcher whose work focuses on advancing total knee arthroplasty (TKA) through robotic-assisted surgery. His key research areas include surgical learning curves, periprosthetic joint infection (PJI), and mid-flexion instability—critical challenges in modern knee replacement. Giustra’s major contributions are highlighted in his most-cited paper, a 2022 systematic review on the learning curve in robotic-assisted TKA (21 citations), which provides essential guidance for surgeons adopting this technology by balancing precision against increased costs and operative time. He further impacts clinical practice through a 2024 multicenter study (8 citations) investigating early and delayed PJI rates in robot-assisted TKA, offering data to clarify a previously debatable association. Additionally, his 2024 work on mid-flexion instability (4 citations) leverages robotic insights to address a poorly defined cause of patient dissatisfaction. With over 33 cumulative citations from these key papers, Giustra’s research is shaping safer, more effective surgical protocols. His notable achievement lies in systematically evaluating both the benefits and risks of robotic assistance, making him a vital voice for evidence-based innovation in orthopedics.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curve in Robotic-Assisted Total Knee Arthroplasty: A Systematic Review of the Literature
21 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Turin, Ospedale San Giovanni Bosco

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago