Expert Review of Proteomics

Papers
(The H4-Index of Expert Review of Proteomics is 19. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
An overview of multiplexed analyses of CAR T-cell therapies: insights and potential67
The path to anti-vector vaccines: current advances and limitations in proteomics and bioinformatics46
How can proteomics help solve the lack of biomarkers to aid in the early diagnosis of motor neuron disease (MND)?43
Proteomic profiling and network biology of colorectal cancer liver metastasis38
Proteomic insights into the extracellular matrix: a focus on proteoforms and their implications in health and disease37
Proteomics in support of immunotherapy: contribution to model-based precision medicine30
Cutaneous leishmaniasis: multiomics approaches to unravel the role of immune cells checkpoints30
The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidome30
Oncoproteomic profiling of AML: moving beyond genomics29
The role of proteomics in the multiplexed analysis of gene alterations in human cancer29
Omics and rare diseases: challenges, applications, and future perspectives27
The method developer’s guide to oligonucleotide design25
Breast cancer glycan biomarkers: their link to tumour cell metabolism and their perspectives in clinical practice25
Protein lysine acetylation and its role in different human pathologies: a proteomic approach23
Positional proteomics: is the technology ready to study clinical cohorts?21
Chondrocyte protein co-synthesis network analysis links ECM mechanosensing to metabolic adaptation in osteoarthritis19
LC-MS/MS: A sensitive and selective analytical technique to detect COVID-19 protein biomarkers in the early disease stage19
Mapping the human brain proteome: opportunities, challenges, and clinical potential19
A computational method for the prediction and functional analysis of potential Mycobacterium tuberculosis adhesin-related proteins19
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