Proteomic Data Analysis
Proteomic Data Analysis is a computational and statistical methodology for interpreting complex protein expression, identification, and modification patterns derived from high-throughput proteomic experiments, distinguished by its focus on extracting biologically meaningful insights from mass spectrometry and associated omics data within clinical and translational research contexts.
11.5K
Publications
701.5K
Citations
61.7K
Authors
7.2K
Institutions
Publications per year
2017–2026
4.1K
Parents
11.5K
The Perseus computational platform for comprehensive analysis of (prote)omics data
Stefka Tyanova, Tikira Temu, Pavel Sinitcyn et al. · Nature Methods · 2016 · 8.9K citations
Universal sample preparation method for proteome analysis
Jacek R. Wiśniewski, Alexandre Zougman, Nagarjuna Nagaraj et al. · Nature Methods · 2009 · 8.7K citations
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61.7K
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7.2K
Harvard University
Cambridge, United States
75 h-index
845 publications
97.4K citations

Institute for Systems Biology
Seattle, United States
69 h-index
507 publications
87.6K citations
ETH Zurich
Zurich, Switzerland
68 h-index
515 publications
72K citations
University of Zurich
Zurich, Switzerland
67 h-index
278 publications
33.1K citations
Max Planck Institute of Biochemistry
Martinsried, Germany
67 h-index
418 publications
208.8K citations

Chinese Academy of Sciences
Beijing, China
66 h-index
1.4K publications
75.7K citations
University of Michigan
Ann Arbor, United States
62 h-index
479 publications
60.2K citations
Inserm
Paris, France
61 h-index
1.1K publications
59.8K citations
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MCP · 426 publications · 44.9K citations
113
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923 publications · 54.2K citations
107
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JPR · 910 publications · 51K citations
100
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493 publications · 20.5K citations
70
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394 publications · 16.7K citations
66
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