Papers

10

Total Citations

93

H-Index

6

About

Anna Cadenar is a pioneering robotic surgeon and researcher whose work is reshaping the surgical management of urologic cancers, particularly renal cell carcinoma and prostate cancer. Her most impactful contributions center on the integration of three-dimensional virtual models (3DVMs) into robot-assisted partial nephrectomy (RAPN), demonstrating through propensity-score matching that 3DVM guidance significantly improves surgical precision and outcomes—a finding that has garnered 32 citations in just one year. She has also established new standards for managing complex clinical scenarios, including redo partial nephrectomy for local recurrence after nephron-sparing surgery, and has proposed a novel subclassification for upstaged pT3a renal tumors. Beyond kidney cancer, Cadenar has advanced functional outcomes in pelvic surgery, developing the stentless Florence robotic intracorporeal neobladder and a urodynamic trifecta scoring system for orthotopic ileal neobladders. Her work on early continence recovery after robot-assisted radical prostatectomy, analyzing prostatic shape in a multicenter cohort, further underscores her commitment to patient-centered outcomes. With over 100 citations across her most-cited papers, Cadenar is a leading voice in evidence-based robotic urology, consistently pushing the boundaries of what is surgically possible while prioritizing functional recovery and quality of life.

Research Focus

Key Achievements

6
H-Index
10
Papers
93
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Three-dimensional virtual model for robot-assisted partial nephrectomy: a propensity-score matching analysis with a contemporary control group
32 citations · 2024
📈 Most Prolific Year: 2025 (5 Papers)
🤝 Key Collaborators: 103
🏛 Institutions: Azienda Ospedaliero-Universitaria Careggi, University of Florence

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago