Papers
12
Total Citations
594
H-Index
11
About
Phillip Mucksavage is a leading urologic surgeon and researcher whose work has fundamentally shaped the training and practice of robotic surgery. His research centers on surgical simulation, credentialing standards, and the technical optimization of the da Vinci surgical platform. Mucksavage’s most influential contribution is his landmark paper on “Best Practices for Robotic Surgery Training and Credentialing” (152 citations), which established critical frameworks for how surgeons are trained and evaluated in robotic procedures. He also pioneered validation studies for virtual reality robotic simulators (113 citations), demonstrating their role as reliable assessment tools. His innovative work on how the da Vinci system overcomes innate hand dominance (69 citations) and his direct measurements of grip forces across robotic instruments (50 citations) have provided essential insights into the ergonomics and haptic limitations of robotic surgery. Additionally, Mucksavage described a novel use of near-infrared fluorescence imaging without contrast agents (30 citations), expanding intraoperative visualization capabilities. With over 500 total citations, his research has directly influenced surgical education, patient safety, and the technical evolution of minimally invasive urologic surgery.
Research Focus
Key Achievements
Top Papers
- 1Best Practices for Robotic Surgery Training and Credentialing152 citations · 2011
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- 3The da Vinci <sup>®</sup> Surgical System Overcomes Innate Hand Dominance69 citations · 2011
- 4Robotic Pyeloplasty: The University of California-Irvine Experience56 citations · 2011
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- 9Minimally Invasive Techniques for the Management of Adult UPJ Obstruction22 citations · 2016
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