Cytometry Part A

Aims & Scope

Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.

The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.942

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	110

Journal Rank

Year	Value
2024	5333

Journal Citation Indicator

Year	Value
2024	875

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

  Citation: 1711

  Authors: Sofie, Britt, Mary J., Bart N., Piet, Tom, Yvan

• Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images

  Citation: 1307

  Authors: E., M., J.‐C.F., P., H., M.

• Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient

  Citation: 893

  Authors: Jeremy, Ingela

• SPICE: Exploration and analysis of post‐cytometric complex multivariate datasets

  Citation: 745

  Authors: Mario, Joshua L., Martha C.

• Letter to the editor

  Citation: 694

  Authors: J., J., H., J.

• Normalization of mass cytometry data with bead standards

  Citation: 676

  Authors: Rachel, Erin F., Astraea, Smita, Karen, Wendy, Dana, Garry P., Sean C.

• Phenotype and function of human T lymphocyte subsets: Consensus and issues

  Citation: 589

  Authors: Victor, Rene A. W., Federica, Mario

• Isolation, cultivation, and characterization of human mesenchymal stem cells

  Citation: 484

  Authors: Dolly, Andreas, Cornelia, Viktoria, Verena

• Intracellular phospho‐protein staining techniques for flow cytometry: Monitoring single cell signaling events

  Citation: 465

  Authors: Peter O., Garry P.

• Efficacy of MitoTracker Greenâ„¢ and CMXrosamine to measure changes in mitochondrial membrane potentials in living cells and tissues

  Citation: 410

  Authors: W., N., M.

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