Papers

2

Total Citations

6

H-Index

2

About

Elena Barbieri is a clinical researcher whose work sits at the intersection of molecular genetics and personalized oncology, with a particular focus on next-generation sequencing (NGS) technologies applied to hereditary cancer diagnostics. Her most recognized contributions center on the development and implementation of automated, capture-based NGS workflows designed for large-scale clinical settings. Notably, her landmark 2021 study documenting the experience of processing one thousand patients within a routine clinical framework demonstrated the feasibility and robustness of transitioning advanced genomic tools from research environments into everyday diagnostic practice. This work addresses a critical challenge in the field: balancing the accessibility of amplicon-based library construction with the superior enrichment uniformity offered by capture-based approaches — a distinction with meaningful implications for variant detection accuracy in hereditary cancer genes. By validating these workflows at scale, Barbieri has contributed meaningfully to efforts aimed at enabling tailored cancer prevention strategies for individuals with varying hereditary risk profiles. Though her citation record is still emerging, her research addresses a pressing need in clinical genomics, positioning her as a contributor to the growing movement toward precision medicine in oncological care.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Automated capture-based NGS workflow: one thousand patients experience in a clinical routine framework
4 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Modena and Reggio Emilia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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