Proteomics

Papers
(The H4-Index of Proteomics is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Data‐Independent Acquisition Mass Spectrometry‐Based Proteomics and Software Tools: A Glimpse in 2020220
Comparison of Proteomic Assessment Methods in Multiple Cohort Studies103
Deep Learning in Proteomics84
Transcription factors: Bridge between cell signaling and gene regulation80
Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data55
N‐Terminomics for the Identification of In Vitro Substrates and Cleavage Site Specificity of the SARS‐CoV‐2 Main Protease53
Omics in Systems Biology: Current Progress and Future Outlook42
DeepRescore: Leveraging Deep Learning to Improve Peptide Identification in Immunopeptidomics40
Proteomic profiling of human uterine extracellular vesicles reveal dynamic regulation of key players of embryo implantation and fertility during menstrual cycle36
Understanding extracellular vesicle and nanoparticle heterogeneity: Novel methods and considerations36
The Age of Data‐Driven Proteomics: How Machine Learning Enables Novel Workflows33
Stability and reproducibility of proteomic profiles in epidemiological studies: comparing the Olink and SOMAscan platforms32
Quantitative Proteomic Analysis of Seminal Plasma, Sperm Membrane Proteins, and Seminal Extracellular Vesicles Suggests Vesicular Mechanisms Aid in the Removal and Addition of Proteins to the Ram Sper32
Bottom‐up and top‐down proteomic approaches for the identification, characterization, and quantification of the low molecular weight proteome with focus on short open reading frame‐encoded peptides31
Microproteomic sample preparation30
Proteome characterisation of extracellular vesicles isolated from heart29
Mass spectrometry‐based high‐throughput proteomics and its role in biomedical studies and systems biology27
Single‐Cell Multi‐Omics and Its Prospective Application in Cancer Biology27
Potential of deep representative learning features to interpret the sequence information in proteomics27
Urinary Peptides Significantly Associate with COVID‐19 Severity: Pilot Proof‐of‐Principle Data and Design of a Multicentric Diagnostic Study26
Deadly Proteomes: A Practical Guide to Proteotranscriptomics of Animal Venoms26
Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID‐19 progression25
The impact of AlphaFold Protein Structure Database on the fields of life sciences25
MS Imaging‐Guided Microproteomics for Spatial Omics on a Single Instrument25
Recent advances in isobaric labeling and applications in quantitative proteomics24
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