Claire A. Donnelley

Yale University, Yale New Haven Hospital

Papers

5

Total Citations

19

H-Index

2

About

Claire A. Donnelley is an emerging orthopaedic researcher whose work sits at the intersection of computer-assisted surgery, biomechanical modeling, and joint arthroplasty. Her research focuses primarily on optimizing surgical outcomes in total hip arthroplasty (THA) and total knee arthroplasty (TKA) through the application of three-dimensional preoperative planning software and robotic-assisted surgical systems. Donnelley's most-cited work challenges conventional preoperative protocols by demonstrating that simulating only standard functional positions — such as standing and relaxed sitting — may be insufficient to predict postoperative instability, advocating instead for broader movement modeling that reflects real-world daily living activities. Her investigations into posterior approach precautions, offset restoration, and femoral head sizing reveal nuanced trade-offs that surgeons must navigate to maximize prosthetic range of motion and minimize impingement risk. Her more recent contributions extend this analytical framework to TKA, revealing meaningful differences in component sizing between robotic and manual techniques. Collectively, her publications have garnered nearly 20 citations within a short publication window, signaling growing recognition of her contributions. Donnelley's body of work offers valuable, clinically actionable insights for surgeons seeking to leverage emerging technologies for more personalized, evidence-driven arthroplasty planning.

Research Focus

Key Achievements

2
H-Index
5
Papers
19
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Simulating movements of daily living in robot-assisted total hip arthroplasty with 3D modelling
8 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Yale University, Yale New Haven Hospital

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago