Papers

6

Total Citations

71

H-Index

5

About

Ilse Baeten is a leading researcher in gynaecological oncology, with a primary focus on advancing robot-assisted laparoscopic surgery for early-stage cervical and endometrial cancers. Her work centers on optimizing surgical techniques, particularly through detailed analyses of learning curves and their direct impact on patient outcomes. Baeten’s landmark 2020 study, cited 39 times, was the first to quantify how a surgeon’s learning curve for robot-assisted laparoscopy influences oncological results, establishing critical benchmarks for surgical training. She has also pioneered the use of a drop-in γ-probe for radioguided sentinel lymph node detection, demonstrating its feasibility and safety in a 2022 study. Her research extends to postoperative complications, notably a 2024 cohort study on symptomatic lymphoceles after pelvic lymphadenectomy, which informs clinical management. With over 70 total citations, Baeten’s work is instrumental in shaping structured surgical curricula, as shown in her 2023 study on introducing novice surgeons to experienced robotic teams. Her contributions are vital for improving surgical precision, reducing complications, and ensuring consistent, high-quality care in minimally invasive gynaecologic oncology.

Research Focus

Key Achievements

5
H-Index
6
Papers
71
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
The influence of learning curve of robot‐assisted laparoscopy on oncological outcomes in early‐stage cervical cancer: an observational cohort study
39 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University Medical Center Utrecht, Utrecht University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago