Papers

3

Total Citations

123

H-Index

3

About

Felix Hilpert is a gynecologic oncologist whose research has made significant contributions to the understanding and clinical management of borderline ovarian tumors (BOT), a relatively rare and historically understudied gynecological malignancy. His most impactful work centers on the multicenter AGO ROBOT study, a landmark pattern-of-care investigation that brought rigorous, large-scale analysis to a field previously dominated by small retrospective trials. Through this collaborative framework, Hilpert and colleagues examined clinical outcomes across nearly a thousand patients, illuminating how factors such as age and surgical staging influence prognosis. His 2014 sub-analysis exploring age-dependent differences in BOT patients has garnered 75 citations, reflecting its value to clinicians navigating treatment decisions across diverse patient populations. His subsequent 2015 work on surgical staging reinforced that incomplete staging procedures carry meaningful prognostic consequences, offering actionable guidance for surgical planning. Collectively, Hilpert's research has helped elevate the evidence base for BOT management from anecdotal to data-driven, earning recognition across the gynecologic oncology community. His contributions exemplify how carefully designed multicenter studies can reshape clinical standards and meaningfully improve patient outcomes in rare cancers.

Research Focus

Key Achievements

3
H-Index
3
Papers
123
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Age-dependent differences in borderline ovarian tumours (BOT) regarding clinical characteristics and outcome: results from a sub-analysis of the Arbeitsgemeinschaft Gynaekologische Onkologie (AGO) ROBOT study
75 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: University Hospital Schleswig-Holstein, Universitäts Hautklinik Kiel, Clinical Research Center Kiel

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago