Xi Song
Papers
1
Total Citations
43
H-Index
1
About
Xi Song has pioneered transformative approaches in proteomics and cancer biology, with a focus on developing high-throughput technologies to map protein expression and localization. His most cited work introduces the dissociable antibody microarray (DAMA) staining method, a breakthrough technique that marries protein microarrays with conventional immunostaining. This innovation allows researchers to simultaneously profile the expression levels and subcellular locations of hundreds of proteins within cultured cells and tissue samples—a feat previously unattainable with standard methods. The DAMA technology, detailed in his 2007 paper (43 citations), has become a valuable tool for breast cancer research, enabling more comprehensive molecular characterization of tumor cells. Song’s contributions address a critical gap in proteomics: linking protein abundance to spatial context, which is essential for understanding disease mechanisms. His work has been cited by labs worldwide seeking to unravel complex protein networks in cancer and other pathologies. By providing a scalable platform for multiplexed protein analysis, Xi Song has advanced the frontier of functional proteomics and opened new avenues for biomarker discovery and targeted therapy development.
Research Focus
Key Achievements
Top Papers
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