Papers
8
Total Citations
26
H-Index
3
About
Gen Fan is an emerging surgical researcher whose work is rapidly shaping the evidence base for robotic and minimally invasive urologic surgery. Specializing in comparative effectiveness research and surgical technology evaluation, Fan has focused predominantly on meta-analyses and systematic reviews that rigorously assess outcomes across competing surgical platforms and techniques. His investigations span a broad spectrum of urologic procedures, including partial nephrectomy, radical prostatectomy, radical cystectomy, and kidney transplantation, with a particular emphasis on robotic-assisted approaches. Among Fan's most notable contributions is his comparative analysis of the Hinotori surgical robot versus the da Vinci system — work that arrives at a critical moment as new robotic platforms challenge the long-standing dominance of established technologies. His evaluations of urinary diversion techniques in robotic cystectomy and the application of indocyanine green imaging further demonstrate his commitment to optimizing perioperative decision-making. His 2024 meta-analysis on the AirSeal insufflation system has already garnered seven citations, reflecting immediate uptake by the surgical community. Though early in his career, Fan's cumulative citation record and prolific output in 2024–2025 signal a researcher poised to make sustained contributions to evidence-based robotic urology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8