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.

Biology
|February 5, 2021
PubMed

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.

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