Eunhee Ji
Papers
2
Total Citations
4
H-Index
2
About
Eunhee Ji is a researcher specializing in high-throughput proteomics and mass spectrometry-based glycoproteomics, with a focus on advancing sample preparation techniques for large-scale biological analyses. Her major contributions include the development of automated, high-throughput protocols for glycopeptide analysis and trypsin digestion, which have streamlined the processing of complex protein samples for liquid chromatography-tandem mass spectrometry (LC-MS/MS). These innovations address critical bottlenecks in proteomic workflows, enabling faster and more reproducible data acquisition for biomarker discovery and systems biology studies. While her most-cited works—an automated glycopeptide preparation protocol and a high-throughput trypsin digestion method, both from 2016—have each garnered 2 citations, they represent foundational steps in optimizing sample handling for proteomics. Ji’s work is particularly notable for its emphasis on automation and scalability, making advanced proteomic analyses more accessible to the broader research community. Her contributions are valuable for researchers seeking to improve throughput and reproducibility in mass spectrometry-based studies, particularly in the context of glycoproteomics and large-scale protein characterization.
Research Focus
Key Achievements
Top Papers
- 1
- 2Use of High-Throughput Trypsin Digestion in Proteomic Studies2 citations · 2016