Alexander Edelstein

Guthrie Foundation, SUNY Upstate Medical University

Papers

2

Total Citations

16

H-Index

2

About

Alexander Edelstein is a rising orthopedic surgeon-researcher whose work focuses on advancing robotic-assisted total knee arthroplasty (TKA), particularly in complex revision and conversion settings. His research addresses critical challenges in knee replacement surgery, including hardware removal, bone preservation, and restoring range of motion after prior procedures. Edelstein’s most cited paper (2023, 13 citations) demonstrates that robotic-assisted TKA yields no difference in outcomes or complications compared to manual TKA when converting from unicompartmental knee arthroplasty—a finding that supports the safety and versatility of robotic techniques in revision scenarios. His more recent work (2025, 3 citations) further shows that robotic assistance may allow for smaller polyethylene liner sizes during TKA with simultaneous hardware removal, highlighting its potential to preserve bone stock and improve implant fit. By systematically comparing robotic and manual approaches, Edelstein is helping to define evidence-based indications for robotic surgery in challenging knee arthroplasty cases. His contributions are particularly valuable for surgeons navigating the technical demands of conversion and hardware removal, offering data-driven reassurance that robotic assistance can match or enhance outcomes in these complex procedures.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
No Difference in Range of Motion, Components, or Complications Following Conversion of Robotic-Assisted Total Knee Arthroplasty Compared to Manual TKA After Undergoing Manual or Robotic-Assisted Unicompartmental Knee Arthroplasty
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Guthrie Foundation, SUNY Upstate Medical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago