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oai:repisalud.isciii.es:20.500.12105/182452024-02-19T15:24:55Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Di Zeo-Sánchez, Daniel E author Sánchez-Núñez, Pablo author Stephens, Camilla author Lucena, M Isabel author 2021-02-02 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 coronavirus. The objective of this study was to provide a useful insight into the evolution of the mass cytometry research field, revealing the knowledge structure (conceptual and social) and authors, countries, sources, documents, and organizations that have made the most significant contribution to its development. We retrieved 937 articles from the Web of Science (2010-2019), analysed 71 Highly Cited Papers (HCP) through the H-Classics methodology and computed the data by using Bibliometrix R package. HCP sources corresponded to high-impact journals, such as Nature Biotechnology and Cell, and its production was concentrated in the US, and specifically Stanford University, affiliation of the most relevant authors in the field. HCPs analysis confirmed great interest in the study of the immune system and complex data processing in the mass cytometry research field. 2079-7737 http://hdl.handle.net/10668/17107 http://hdl.handle.net/20.500.12105/18245 33540586 10.3390/biology10020104 Biology Bibliometrix H-classics H-index bibliometric indicators cytometry by time of flight (CyTOF) highly cited papers (HCP) mass cytometry science communication scientometrics Characterizing Highly Cited Papers in Mass Cytometry through H-Classics.