About

Dr. Daniel Canter is a pioneering urologic surgeon and researcher whose work has fundamentally shaped the surgical management of renal masses and pediatric urologic conditions. His primary research focuses on objective risk stratification in kidney cancer surgery, most notably through his seminal contributions to the R.E.N.A.L. nephrometry scoring system. His landmark 2011 paper, "Objective Measures of Renal Mass Anatomic Complexity Predict Rates of Major Complications Following Partial Nephrectomy" (277 citations), demonstrated that tumor complexity could be quantified to predict surgical outcomes, revolutionizing preoperative planning. Dr. Canter's work has been instrumental in advancing robotic-assisted surgery, with his 2012 study comparing robotic versus open partial nephrectomy for complex lesions (93 citations) providing crucial evidence for minimally invasive approaches. In pediatric urology, his early experiences with robot-assisted pyeloplasty in infants (141 citations) and laparoscopic ureteral reimplantation (140 citations) established new standards for minimally invasive care in children. More recently, his innovative research on preoperative frailty assessment (55 citations) has expanded surgical decision-making beyond traditional metrics. His development of the Renal Pelvic Score (36 citations) further refined the ability to predict postoperative complications, cementing his reputation as a surgeon-scientist dedicated to evidence-based, patient-centered care.

Research Focus

Key Achievements

10
H-Index
12
Papers
1,023
Total Citations
85
Avg Citations/Paper
🏆 Most Cited Paper
Objective Measures of Renal Mass Anatomic Complexity Predict Rates of Major Complications Following Partial Nephrectomy
277 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Temple University, Fox Chase Cancer Center, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia University, Einstein Healthcare Network

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago