Papers
20
Total Citations
2,323
H-Index
15
About
Sujith Konan is a leading orthopaedic surgeon and researcher whose work has fundamentally advanced the understanding and adoption of robotic-assisted joint replacement surgery. His research focuses primarily on total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA), with a particular emphasis on comparing robotic-arm assisted techniques against conventional jig-based procedures. Konan's most influential contributions have demonstrated that robotic-assisted TKA leads to improved early functional recovery, reduced hospital discharge times, and greater implant positioning accuracy — findings that have collectively garnered over 1,600 citations. His pioneering work on surgical learning curves revealed that robotic TKA requires only seven cases for workflow integration, yet maintains implant accuracy from the outset, a critical insight for surgical training programs worldwide. He also developed a novel classification system for iatrogenic bone and soft tissue trauma, providing the field with a valuable new assessment tool. Beyond knee surgery, Konan has contributed meaningfully to robotic total hip arthroplasty research. His 2019 systematic review on robotic TKA technology has become an essential reference for surgeons navigating this rapidly evolving landscape, cementing his reputation as a defining voice in modern arthroplasty innovation.
Research Focus
Key Achievements
Top Papers
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- 3Robotic technology in total knee arthroplasty: a systematic review299 citations · 2019
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- 9The current role of robotics in total hip arthroplasty102 citations · 2019
- 10Assuring the long-term total joint arthroplasty98 citations · 2019