Papers

2

Total Citations

3

H-Index

1

About

Filippo Lipparini is a leading urologic surgeon and researcher whose work focuses on optimizing surgical outcomes for complex kidney and prostate cancers. His primary research areas include robot-assisted partial nephrectomy (RAPN) for renal tumors and predictive modeling for prostate cancer risk stratification. Lipparini’s major contribution lies in demonstrating that RAPN can achieve a critical balance between oncologic control and renal function preservation in single-kidney patients—a high-stakes scenario where every nephron counts. His 2025 study on functional and oncologic outcomes in solitary kidney patients, already garnering 2 citations, provides evidence that robotic surgery minimizes morbidity while maintaining cancer clearance. Additionally, he has developed and internally validated a novel predictive model for prostate cancer, enabling individualized risk assessment to guide treatment decisions. This work, with 1 citation, promises to reduce overtreatment by tailoring interventions to patient-specific profiles. Lipparini’s impact is amplified by his use of prospectively maintained datasets from a tertiary referral center, ensuring real-world applicability. His research directly addresses the urologist’s dilemma: how to cure cancer without compromising quality of life. For students and clinicians, Lipparini exemplifies how surgical innovation and data-driven modeling can transform personalized oncology.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Functional and Oncologic Outcomes in Single-Kidney Patients Treated with Robot-Assisted Partial Nephrectomy for Renal Tumors: Results from a Prospectively Maintained Dataset of a Single Tertiary Referral Center
2 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Azienda Ospedaliero-Universitaria Careggi, University of Florence

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago