Papers

3

Total Citations

160

H-Index

3

About

Zachary Yenna is a leading orthopedic researcher whose work focuses on advancing total knee arthroplasty (TKA) through robotic-assisted technology. His primary research areas include minimizing iatrogenic soft-tissue damage during surgery and improving implant placement accuracy, particularly for surgeons in training. Yenna’s most influential study, “Less iatrogenic soft-tissue damage utilizing robotic-assisted total knee arthroplasty when compared with a manual approach” (2019, 121 citations), demonstrates that robotic-arm assisted techniques significantly reduce unintended soft-tissue injuries compared to manual methods. This work has reshaped surgical protocols by highlighting the protective benefits of haptically bounded saw blades. In a related blinded assessment (12 citations), he further validated these findings, reinforcing the safety advantages of robotic assistance. Yenna also investigated how robotic technology aids less experienced surgeons, showing in a 2020 study (27 citations) that it enhances implant placement accuracy during fellowship training—a critical insight for teaching hospitals. By bridging the gap between innovation and surgical education, Yenna’s research not only improves patient outcomes but also equips the next generation of orthopedic surgeons with tools to achieve greater precision and safety in the operating room.

Research Focus

Key Achievements

3
H-Index
3
Papers
160
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Less iatrogenic soft-tissue damage utilizing robotic-assisted total knee arthroplasty when compared with a manual approach
121 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Select Engineering Services (United States), Cleveland Clinic

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago