Clinical Proteomics

Papers
(The H4-Index of Clinical Proteomics is 15. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Quantitative proteomics analysis in small cell carcinoma of cervix reveals novel therapeutic targets59
Functional and quantitative evaluation of the 20S proteasome in serum and intracellular in145 moroccan patients with hematologic malignancies33
Glycoproteomics revealed novel N-glycosylation biomarkers for early diagnosis of lung adenocarcinoma cancers26
Development of a predictive model to distinguish prostate cancer from benign prostatic hyperplasia by integrating serum glycoproteomics and clinical variables22
Comparative proteomic analysis of glomerular proteins in primary and bucillamine-induced membranous nephropathy21
The use of proteomics for blood biomarker research in premature infants: a scoping review21
Validation and update of a multivariable prediction model for the identification and management of patients at risk for hepatocellular carcinoma20
Serum proteomics of severe fever with thrombocytopenia syndrome patients20
Kinase inhibitor pulldown assay (KiP) for clinical proteomics20
Phospho-heavy-labeled-spiketide FAIMS stepped-CV DDA (pHASED) provides real-time phosphoproteomics data to aid in cancer drug selection18
Transcriptome profiling and proteomic validation reveals targets of the androgen receptor signaling in the BT-474 breast cancer cell line18
Multiplex proteomics identifies inflammation-related plasma biomarkers for aging and cardio-metabolic disorders17
Many kinds of oxidized proteins are present more in the urine of the elderly17
sBioSITe enables sensitive identification of the cell surface proteome through direct enrichment of biotinylated peptides17
Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response16
Changes in amino acid concentrations and the gut microbiota composition are implicated in the mucosal healing of ulcerative colitis and can be used as noninvasive diagnostic biomarkers15
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