2021
DOI: 10.3390/biology10020104
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Characterizing Highly Cited Papers in Mass Cytometry through H-Classics

Abstract: Mass cytometry (CyTOF) is a relatively novel technique for the multiparametric analysis of single-cell features with an increasing central role in cell biology, immunology, pharmacology, and biomedicine. This technique mixes the fundamentals of flow cytometry with mass spectrometry and is mainly used for in-depth studies of the immune system and diseases with a significant immune load, such as cancer, autoimmune diseases, and viral diseases like HIV or the recently emerged COVID-19, produced by the SARS-CoV-2 … Show more

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Cited by 7 publications
(4 citation statements)
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References 66 publications
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“…Mass cytometry data can be analyzed by using SPADE Cluster Analysis, Principal Component Analysis and Boolean Gating (129,130).…”
Section: Mass Cytometrymentioning
confidence: 99%
“…Mass cytometry data can be analyzed by using SPADE Cluster Analysis, Principal Component Analysis and Boolean Gating (129,130).…”
Section: Mass Cytometrymentioning
confidence: 99%
“…In recent years, several innovative technologies capable of extracting large amounts of immunophenotypic information have emerged. Examples include high-dimensional and multiparametric fluorescent flow cytometry, single-cell messenger RNA (mRNA) sequencing, and mass cytometry [119].…”
Section: Future Perspectivesmentioning
confidence: 99%
“…Several studies have been carried out using R Package Bibliometrix. Some examples have been works done in the field of social research and data science [34], the Internet of Things (IoT) logistics [35], biology [36], or artificial intelligence research [37], among others. Table 2 describes the main results of the analysis: document type, document content, and author collaboration.…”
Section: Bibliometric Analysis Tool: Bibliometrix (R Package)mentioning
confidence: 99%