Simon Jennings

London North West Healthcare NHS Trust

Papers

3

Total Citations

53

H-Index

3

About

Simon Jennings is a leading orthopaedic surgeon and researcher whose work centers on advancing knee arthroplasty through robotic-assisted surgical techniques. His primary research areas include improving surgical precision in total knee replacement (TKA) and unicompartmental knee arthroplasty (UKA), with a strong focus on restoring joint line height and posterior offset—critical factors for postoperative function and range of motion. Jennings’ major contributions include demonstrating that robotic-assisted TKA significantly enhances the accuracy of joint line and posterior offset restoration compared to conventional methods, as evidenced by his highly cited 2022 multi-centre study (21 citations). He has also pioneered early economic evaluations showing that non-CT robotic-assisted UKA is cost-effective in high-volume centres (17 citations), providing crucial evidence for healthcare adoption. Notably, Jennings introduced a novel imageless robotic-assisted approach for revising UKA to TKA, addressing the rising revision burden with improved alignment accuracy (15 citations). With over 50 cumulative citations across his key papers, Jennings’ work bridges surgical innovation and health economics, offering practical solutions for better patient outcomes and resource allocation. His research is essential reading for orthopaedic trainees and surgeons seeking evidence-based insights into robotic arthroplasty.

Research Focus

Key Achievements

3
H-Index
3
Papers
53
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Improved joint line and posterior offset restoration in primary total knee replacement using a robotic-assisted surgical technique: An international multi-centre retrospective analysis of matched cohorts
21 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: London North West Healthcare NHS Trust

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago