Thomas Pho
Papers
1
Total Citations
20
H-Index
1
About
Thomas Pho is a researcher at the forefront of integrating automation and low-cost methodologies into proteomics, with a particular focus on characterizing the protein corona—the layer of proteins that forms around nanoparticles in biological fluids. His work addresses a critical bottleneck in nanomedicine: the need for high-throughput, reproducible, and affordable techniques to analyze these complex protein interactions. Pho’s most-cited paper, "Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data" (2020), with 20 citations, introduces scalable experimental frameworks that transform how researchers generate and handle large proteomic datasets. By emphasizing automation and cost reduction, his contributions enable broader access to advanced proteomic analysis, facilitating big data approaches in nanobiology. This work is pivotal for understanding how nanoparticle surfaces dictate biological responses, with implications for drug delivery, diagnostics, and personalized medicine. Pho’s research bridges the gap between experimental practicality and data-intensive science, marking him as a key innovator in making proteomics more accessible and impactful for the scientific community.
Research Focus
Key Achievements
Top Papers
- 1