About

Rodney Davis is a pioneering urologic surgeon whose research has fundamentally shaped the adoption and evaluation of robotic-assisted surgery in urology. His work centers on minimally invasive surgical techniques for urologic cancers, particularly prostate and bladder cancer, with a sustained focus on comparing robotic approaches against traditional open surgical methods. Davis made early and influential contributions to understanding the learning curve associated with robotic-assisted radical prostatectomy, demonstrating how surgical experience impacts oncologic outcomes — a landmark 2006 study that has garnered nearly 200 citations. His comparative analyses between robotic and open prostatectomy across large patient cohorts provided the field with rigorous, clinically meaningful data on biochemical recurrence, transfusion rates, and cost-effectiveness, collectively accumulating hundreds of citations from the research community. Expanding beyond prostate cancer, Davis contributed to multi-institutional analyses of robotic radical cystectomy for bladder cancer and examined complications such as ureteroenteric anastomotic strictures, helping surgeons better understand the true risk profiles of emerging techniques. His work on salvage robotic prostatectomy addressed a particularly challenging clinical scenario with scarce prior data. With a citation portfolio exceeding 1,000 references across his top publications, Davis remains a significant voice in urologic oncology's transition toward minimally invasive surgical care.

Research Focus

Key Achievements

18
H-Index
24
Papers
1,343
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Positive Surgical Margins in Robotic-Assisted Radical Prostatectomy: Impact of Learning Curve on Oncologic Outcomes
195 citations · 2006
📈 Most Prolific Year: 2006 (5 Papers)
🤝 Key Collaborators: 92
🏛 Institutions: Tulane University, Vanderbilt University Medical Center, Vanderbilt University, Tulane Medical Center, Emory University, University of Arkansas for Medical Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago