Papers
2
Total Citations
67
H-Index
2
About
Qianxing Mo is a leading researcher in bioinformatics and cancer proteomics, with a primary focus on advancing reverse-phase protein array (RPPA) technology. His major contributions center on developing and refining RPPA as a high-throughput, antibody-based platform capable of quantifying hundreds of proteins across thousands of tissue, cell, or fluid samples. Mo’s work has been instrumental in establishing RPPA’s role in targeted proteomics, enabling robust data processing and integration for large-scale studies. His most-cited paper, “Reverse-Phase Protein Array: Technology, Application, Data Processing, and Integration” (2021), has accumulated 53 citations, underscoring its impact as a definitive resource in the field. This work, along with a related publication also from 2021 with 14 citations, highlights his expertise in bridging technological innovation with practical applications in cancer research. Mo’s contributions have facilitated deeper insights into protein signaling networks, supporting biomarker discovery and personalized medicine. His achievements position him as a key figure in proteomics, making his research essential for students and scientists exploring high-throughput protein analysis and its translational potential.
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Top Papers
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