Critical Reviews in Clinical Laboratory Sciences

Papers
(The H4-Index of Critical Reviews in Clinical Laboratory Sciences is 20. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
The anion gap as a predictive tool for morbidity and mortality147
Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting72
Advances and challenges in the measurement of 1,25-dihydroxyvitamin D: a comprehensive review61
Data analytics for error detection in clinical laboratories48
Breathing new life into clinical testing and diagnostics: perspectives on volatile biomarkers from breath44
Lipoprotein(a): a genetically determined risk factor for Cardiovascular disease41
Machine learning-based error detection in the clinical laboratory: a critical review40
Human telomere length detected by quantitative fluorescent in situ hybridization: overlooked importance and application37
Transthyretin mutagenesis: impact on amyloidogenesis and disease36
The therapeutic relevance of the Kallikrein-Kinin axis in SARS-cov-2-induced vascular pathology33
Copeptin as a surrogate marker for arginine vasopressin: analytical insights, current utility, and emerging applications33
Evaluating thyroid function in pregnant women31
Clinical utility of human epididymis protein 428
Cardiovascular disease lipids and lipoproteins biomarker standardization27
Beyond newborn screening: the role of reverse cascade testing in familial disease detection26
KIF2C/MCAK a prognostic biomarker and its oncogenic potential in malignant progression, and prognosis of cancer patients: a systematic review and meta-analysis as biomarker25
Guidance for securing approvals for new biomarkers: from discovery to clinical implementation25
It’s in the blood: a review of the hematological system in SARS-CoV-2-associated COVID-1922
Development of next-generation reference interval models to establish reference intervals based on medical data: current status, algorithms and future consideration22
The molecular structure and biological functions of RNA methylation, with special emphasis on the roles of RNA methylation in autoimmune diseases22
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