Papers
2
Total Citations
54
H-Index
1
About
Radka Saldova is a leading figure in clinical glycobiology, whose work has been pivotal in transforming complex carbohydrate analysis into a tool for disease prediction and biomarker discovery. Her primary research focuses on high-throughput glycomics and the identification of serum N-glycan signatures as indicators of pathological states. Saldova’s major contribution is the development of an automated, high-throughput serum glycoprofiling platform, a breakthrough that addresses a critical bottleneck in the field. This innovation, detailed in her highly cited 2015 paper (53 citations), enables rapid and reproducible analysis of complex carbohydrates, which are exquisitely sensitive to disease-related changes. By overcoming the limitations of traditional, low-throughput methods, her platform has accelerated the discovery of clinical glycobiomarkers. Demonstrating the profound translational impact of her work, Saldova has also shown that serum N-glycans can serve as independent predictors of mortality, as evidenced in her recent study within the AEGIS cohort. Her research bridges fundamental glycobiology and clinical application, offering powerful new tools for risk stratification and early diagnosis in high-mortality pathologies.
Research Focus
Key Achievements
Top Papers
- 1Automated, high-throughput serum glycoprofiling platform53 citations · 2015
- 2