Nina Ewald-Riegler

Helios Dr. Horst Schmidt Kliniken Wiesbaden

Papers

5

Total Citations

148

H-Index

5

About

Nina Ewald-Riegler is a gynecologic oncology researcher whose work has made significant contributions to our understanding of borderline ovarian tumors (BOT), a complex and relatively rare category of ovarian neoplasms. Operating within the framework of the Arbeitsgemeinschaft Gynaekologische Onkologie (AGO) ROBOT study — one of the largest multicenter investigations into BOT — she has helped transform how clinicians approach diagnosis, staging, and patient management in this nuanced disease entity. Her most influential work, cited 75 times, examined age-dependent differences in clinical characteristics and outcomes among BOT patients, offering critical insights that help tailor treatment strategies across different patient populations. Her subsequent research on surgical staging underscored that incomplete staging carries negative prognostic implications, providing surgeons with evidence-based guidance on procedural thoroughness. Additional contributions exploring the diagnostic value of serum CA125 and the impact of BOT on patients' quality of life and sexual function reflect her commitment to holistic, patient-centered oncology research. Collectively accumulating nearly 150 citations, Ewald-Riegler's body of work has elevated the evidence base for BOT management beyond small retrospective trials, supporting more standardized, data-driven clinical practice in gynecologic oncology.

Research Focus

Key Achievements

5
H-Index
5
Papers
148
Total Citations
30
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 (2 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Helios Dr. Horst Schmidt Kliniken Wiesbaden

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago