Joan Pijoan

Hebron University

Papers

2

Total Citations

5

H-Index

1

About

Joan Pijoan is a rising investigator in orthopedic surgery, with a focused expertise in robotic-assisted total knee arthroplasty (TKA) and functional alignment techniques. His work critically evaluates how surgical technology and alignment strategies influence patient outcomes. In his most-cited review, Pijoan synthesized the learning curve for robotic-assisted TKA, providing essential guidance for surgeons adopting this technology. His subsequent study challenged a prevailing assumption, finding that preserving preoperative Coronal Plane Alignment of the Knee (CPAK) does not improve one-year clinical outcomes after functionally aligned robot-assisted TKA—a finding that refines surgical decision-making. Though early in his career, with papers published in 2025, his work has already garnered citations, signaling its relevance to a field rapidly evolving toward precision and evidence-based practice. Pijoan’s contributions are particularly valuable for trainees and researchers seeking to understand the real-world impact of robotic systems and alignment philosophies in joint replacement.

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 · 16 days ago