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A high-stringency blueprint of the human proteome
Nature Communications, 11(1), 5301, 2020
hupo
URL, BibTex

Y. Han, S. A. Wennersten, and M. P. Y. Lam
Working the literature harder: what can text mining and bibliometric analysis reveal?
Expert Rev Proteomics, 16(1112), 2019
bioinformatics bibliometrics popular proteins hupo
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C. Ruiz-Romero, M. P. Y. Lam, P. Nilsson, P. Önnerfjord, P. J. Utz, J. E. V. Eyk, Venkatraman V, J. Fert-Bober, et al.
Mining the Proteome Associated with Rheumatic and Autoimmune Diseases.
Journal of Proteome Research, 18(12), 4231-4239, 2019
bioinformatics bibliometrics popular proteins hupo
URL, DOI, BibTex

E. Lau, V. Venkatraman, C. T. Thomas, J. C. Wu, J. E. V. Eyk, and M. Lam
Identifying high-priority proteins across the human diseasome using semantic similarity
Journal of Proteome Research, 2018
bioinformatics bibliometrics popular proteins hupo
URL, DOI, BibTex

M. P. Lam, V. Venkatraman, Y. Xing, E. Lau, Q. Cao, D. C. Ng, A. I. Su, J. Ge, et al.
Data-driven approach to determine popular proteins for targeted proteomics translation of six organ systems
J. Proteome Res., 15(11), 2016
bibliometrics hupo
BibTex