Cytometry Part A

Papers
(The H4-Index of Cytometry Part A is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre95
Little to no expression of angiotensin‐converting enzyme‐2 on most human peripheral blood immune cells but highly expressed on tissue macrophages84
Monocyte HLA‐DR Measurement by Flow Cytometry in COVID‐19 Patients: An Interim Review63
Current trends in flow cytometry automated data analysis software56
Development of a 43 color panel for the characterization of conventional and unconventional T‐cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using sp45
Application‐based guidelines for best practices in plant flow cytometry42
The evolution of spectral flow cytometry37
Reference standards for flow cytometric estimation of absolute nuclear DNA content in plants35
Comprehensive Phenotyping of Human Dendritic Cells and Monocytes31
PeacoQC: Peak‐based selection of high quality cytometry data29
CD169 and CD64 could help differentiate bacterial from CoVID‐19 or other viral infections in the Emergency Department29
A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID‐1927
Deep learning based digital cell profiles for risk stratification of urine cytology images26
Full spectrum flow cytometry and mass cytometry: A 32‐marker panel comparison24
Semi‐automated background removal limits data loss and normalizes imaging mass cytometry data24
OMIP‐079: Cell cycle of CD4+ and CD8+ naïve/memory T cell subsets, and of Treg cells from mouse spleen24
MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue images23
OMIP 071: A 31‐Parameter Flow Cytometry Panel for In‐Depth Immunophenotyping of Human T‐Cell Subsets Using Surface Markers22
Comprehensive phenotyping of human peripheral blood B lymphocytes in healthy conditions22
Chromosome analysis and sorting20
Isolation of plant nuclei for estimation of nuclear DNA content: Overview and best practices20
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