Jennifer Jones

Bone and Joint Clinic of Baton Rouge

Papers

3

Total Citations

121

H-Index

2

About

Jennifer Jones is an orthopedic research specialist whose work sits at the intersection of surgical robotics, computer-assisted navigation, and joint arthroplasty. Her most influential contribution, "Haptically Guided Robotic Technology in Total Hip Arthroplasty: A Cadaveric Investigation" (2012), has garnered 116 citations and addresses one of the field's persistent clinical challenges: the surgeon's difficulty in achieving optimal component orientation during total hip arthroplasty (THA). By investigating haptic robotic guidance as a precision tool, Jones helped lay groundwork for understanding how technology can reduce dislocation rates and impingement-related failures — complications that continue to burden patients despite advances in implant design and materials. Her research portfolio extends beyond the hip, encompassing functional recovery comparisons between bicompartmental arthroplasty and navigated total knee arthroplasty, as well as robotic-assisted femoral osteochondroplasty for the treatment of femoroacetabular impingement (FAI). Across these studies, Jones consistently champions minimally disruptive, precision-guided surgical approaches aimed at preserving natural anatomy while improving patient outcomes. Her body of work positions her as a thoughtful advocate for integrating emerging robotic and navigational technologies into mainstream orthopedic surgical practice.

Research Focus

Key Achievements

2
H-Index
3
Papers
121
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Haptically guided robotic technology in total hip arthroplasty: A cadaveric investigation
116 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Bone and Joint Clinic of Baton Rouge

Top Papers

  1. 1
  2. 2
    Functional Recovery After Bicompartmental Arthroplasty, Navigated TKA and Traditional TKA
    3 citations · 2013
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago