Marc Aguilar

Hebron University

Papers

2

Total Citations

5

H-Index

1

About

Marc Aguilar is an emerging researcher in the field of orthopedic surgery, with a focused expertise in robotic-assisted total knee arthroplasty (TKA). His work centers on optimizing surgical techniques and patient outcomes through the integration of advanced robotic systems. Aguilar’s major contributions include a comprehensive literature review on the learning curve for robotic-assisted TKA, which has garnered 4 citations and provides critical insights for surgeons adopting this technology. He has also investigated the clinical relevance of preserving preoperative Coronal Plane Alignment of the Knee (CPAK) during functionally aligned robot-assisted TKA, finding that such preservation does not significantly improve one-year outcomes—a finding that challenges conventional assumptions and may refine surgical practices. Though early in his career, Aguilar’s research has already influenced the conversation around robotic TKA, offering evidence-based guidance for improving procedural efficiency and patient recovery. His work is particularly valuable for students and clinicians seeking to understand the practical implications of robotic assistance in joint replacement surgery.

Research Focus

Key Achievements

1
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve of robotic-assisted total knee arthroplasty: a literature review
4 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Hebron University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago