Che-Fan Huang | Proteomics | Best Researcher Award

Published on by Academic Achievements

Dr. Che-Fan Huang | Proteomics | Best Researcher Award

Dr. Che-Fan Huang | Proteomics | Postdoctoral Scholar at Northwestern University | United States

Dr. Che-Fan Huang is a distinguished scientist whose work at the intersection of proteomics, mass spectrometry, and molecular biochemistry has positioned him as a rising leader in top-down proteomic research and proteoform analysis. Dr. Che-Fan Huang completed his advanced academic training in biochemistry and proteomics, developing a strong foundation in analytical chemistry, biomolecular characterization, and protein structure–function relationships. His professional experience spans high-impact research collaborations across internationally recognized laboratories, where he has contributed to groundbreaking advancements in engineered nanoparticles, proteoform profiling, phosphatase signaling, and clinical proteomics. Dr. Che-Fan Huang’s research interests focus on deep proteome mapping, proteoform-centric quantification, enzyme specificity profiling, structural proteomics, and the integration of mass spectrometry with emerging bioanalytical technologies to address complex biomedical questions. His research skills include proteoform characterization, top-down and bottom-up mass spectrometry, SAMDI-MS, peptide array analysis, enzymatic specificity profiling, nanoparticle-assisted proteomics, and high-resolution protein quantification methods. Dr. Che-Fan Huang has been recognized through various honors, including citations in prestigious journals such as Angewandte Chemie, ACS Combinatorial Science, Analytical Chemistry, Journal of Proteome Research, and Molecular & Cellular Proteomics, reflecting the broad impact of his contributions on chemical biology and translational proteomics. Through his sustained commitment to innovation, Dr. Che-Fan Huang continues to advance next-generation proteomic technologies, contributing significant insights into disease mechanisms, protein structural dynamics, and biomarker discovery. In conclusion, Dr. Che-Fan Huang stands as an influential figure whose scientific rigor, technical expertise, and forward-thinking research continue to elevate the field of proteomics, solidifying his reputation as a leading scholar and innovator in modern biochemical analysis.

Profile: Google Scholar

Featured Publications

  1. Huang, C.-F., Wood, S. E., Sinsinbar, G., Gudlur, S., Nallani, M., Liedberg, B., … (2017). A bottom-up proteomic approach to identify substrate specificity of outer-membrane protease OmpT. Angewandte Chemie International Edition, 56(52), 16531–16535. (Cited by: 48)

  2. Szymczak, L. C., Huang, C.-F., Berns, E. J., & Mrksich, M. (2018). Combining SAMDI mass spectrometry and peptide arrays to profile phosphatase activities. Methods in Enzymology, 607, 389–403. (Cited by: 27)

  3. Huang, C.-F., & Mrksich, M. (2019). Profiling protein tyrosine phosphatase specificity with self-assembled monolayers for matrix-assisted laser desorption/ionization mass spectrometry and peptide arrays. ACS Combinatorial Science, 21(11), 760–769. (Cited by: 19)

  4. Huang, C.-F., Hollas, M. A., Sanchez, A., Bhattacharya, M., Ho, G., Sundaresan, A., … (2024). Deep profiling of plasma proteoforms with engineered nanoparticles for top-down proteomics. Journal of Proteome Research, 23(10), 4694–4703. (Cited by: 16)

  5. Huang, C.-F., Kline, J. T., Negrão, F., Robey, M. T., Toby, T. K., Durbin, K. R., … (2024). Targeted quantification of proteoforms in complex samples by proteoform reaction monitoring. Analytical Chemistry, 96(8), 3578–3586. (Cited by: 15)

  6. Forte, E., Sanders, J. M., Pla, I., Kanchustambham, V. L., Hollas, M. A. R., Huang, C.-F., … (2024). Top-down proteomics identifies plasma proteoform signatures of liver cirrhosis progression. Molecular & Cellular Proteomics, 23(12), 100876. (Cited by: 7)

  7. Xu, T., Su, T., Soye, B. J. D., Kandi, S., Huang, C.-F., Wilkins, J. T., Castellani, R. J., … (2025). The proteoform landscape of Tau from the human brain. Journal of Proteome Research, 24(6), 2916–2925. (Cited by: 5)