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Updated: Nov 18, 2025

Sample Preparation for Mass Cytometry Analysis
Published on: April 29, 2017
Characterizing Highly Cited Papers in Mass Cytometry through H-Classics
Daniel E Di Zeo-Sánchez1, Pablo Sánchez-Núñez2,3, Camilla Stephens1,4
1Servicio de Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), Facultad de Medicina, Universidad de Málaga, 29010 Malaga, Spain.
Insights
Mass cytometry (CyTOF) is a powerful tool for analyzing single cells, crucial in immunology and disease research. This study maps the field
Area of Science:
- Biomedical research
- Immunology
- Cell biology
- Pharmacology
Background:
- Mass cytometry (CyTOF) combines flow cytometry and mass spectrometry for multiparametric single-cell analysis.
- It is increasingly vital for studying the immune system and diseases like cancer, autoimmune disorders, HIV, and COVID-19.
Purpose of the Study:
- To analyze the evolution of mass cytometry research.
- To identify key contributors (authors, countries, institutions) and knowledge structures.
- To map the conceptual and social landscape of the field.
Main Methods:
- Bibliometric analysis of 937 articles from Web of Science (2010-2019).
- Analysis of 71 Highly Cited Papers (HCP) using H-Classics methodology.
- Data computation using the Bibliometrix R package.
Main Results:
- Top sources include high-impact journals like Nature Biotechnology and Cell.
- Research is concentrated in the US, with Stanford University as a key institution.
- Prominent authors and significant contributions were identified.
Conclusions:
- Mass cytometry research shows a strong focus on immune system studies.
- Significant interest exists in advanced data processing techniques for CyTOF data.
- The field is rapidly evolving with key contributions from specific global centers.
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 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.
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