Papers

2

Total Citations

28

H-Index

2

About

Dr. Natalie Mengis is a leading orthopedic researcher whose work is reshaping joint replacement surgery through the precision of robotic assistance. Her primary focus lies in total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA), where she rigorously compares robotic-assisted techniques against conventional methods. Dr. Mengis’s major contributions include demonstrating that robotic-assisted UKA yields superior patient satisfaction, as measured by the Forgotten Joint Score (FJS-12), and significantly lower mid-term complication rates compared to traditional implantation. Her 2024 systematic review and meta-analysis on this topic, with 7 citations, provides critical evidence for surgeons considering technology adoption. In a highly cited 2024 paper (21 citations), she explored the nuanced differences between image-based and imageless robotic systems, challenging assumptions about their equivalence and highlighting the importance of surgical workflow. Dr. Mengis’s work is instrumental in moving the field beyond simple accuracy metrics toward meaningful, patient-reported outcomes. Her research directly informs clinical decision-making, helping surgeons and patients choose the approach that offers the best chance for a natural-feeling, long-lasting knee replacement.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Same same but different—Image‐based versus imageless robotic‐assisted total knee arthroplasty!
21 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Basel, Kantonsspital Baselland Standort Bruderholz

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago