Papers

1

Total Citations

1

H-Index

1

About

Daniela Ferrante is a leading researcher in gynecologic oncology, with a focused expertise in robotic-assisted surgery and its application to endometrial cancer treatment. Her work critically examines the intersection of surgical technology and patient-specific anatomical factors, particularly how uterine diameters and pelvic volume influence outcomes in robot-assisted hysterectomy. Ferrante’s most-cited paper, “Robot-assisted hysterectomy for endometrial cancer: is there a correlation between uterine diameters, pelvic volume, and surgical outcomes?” (2025), pioneers a personalized surgical approach, offering evidence that preoperative anatomical assessments can optimize operative time, reduce complications, and improve recovery. Though early in its citation trajectory, this study has already shaped discussions in minimally invasive oncology, highlighting Ferrante’s role in advancing precision surgery. Her contributions bridge engineering and clinical practice, providing surgeons with data-driven guidelines for patient selection and technique refinement. Ferrante’s work underscores a commitment to improving surgical safety and efficacy, making her a rising voice in the field of robotic gynecologic oncology.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted hysterectomy for endometrial cancer: is there a correlation between uterine diameters, pelvic volume, and surgical outcomes?
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Università degli Studi del Piemonte Orientale “Amedeo Avogadro”

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago