Papers
25
Total Citations
613
H-Index
12
About
Guan Wu is a urological surgeon and researcher whose work has profoundly advanced the field of minimally invasive and robotic urologic surgery. His research spans several interconnected domains, including near-infrared fluorescence imaging, robotic surgical techniques, surgical simulation, and preoperative planning technologies. Wu's most influential contribution — garnering 168 citations — demonstrated the pioneering clinical use of indocyanine green fluorescence imaging integrated with the da Vinci robotic platform during partial nephrectomy, fundamentally improving surgeons' ability to distinguish tumor from healthy renal tissue in real time. This work, extended in subsequent studies, helped establish fluorescence-guided robotics as a standard consideration in nephron-sparing surgery. Beyond imaging innovation, Wu has made significant contributions to robotic repair of complex genitourinary injuries, vesicovaginal fistulas, and post-cystectomy strictures, often drawing on multi-institutional datasets to validate outcomes across high-volume centers. His more recent scholarship reflects a commitment to surgical education, developing and validating high-fidelity simulation platforms — incorporating 3D printing and hydrogel casting — to train surgeons in nerve-sparing prostatectomy and partial nephrectomy using clinically meaningful performance metrics. Wu's cumulative body of work reflects a career dedicated to refining robotic urologic surgery through technology, training, and translational innovation.
Research Focus
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