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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

OMIP‐044: 28‐color immunophenotyping of the human dendritic cell compartment
Florian Mair, Martin Prlic
Cytometry Part A (2018) Vol. 93, Iss. 4, pp. 402-405
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2019) Vol. 49, Iss. 10, pp. 1457-1973
Open Access | Times Cited: 876
Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
Anna C. Belkina, Christopher O. Ciccolella, Rina Anno, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 463
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, et al.
European Journal of Immunology (2021) Vol. 51, Iss. 12, pp. 2708-3145
Open Access | Times Cited: 315
OMIP‐069: Forty‐Color Full Spectrum Flow Cytometry Panel for Deep Immunophenotyping of Major Cell Subsets in Human Peripheral Blood
Lily M. Park, Joanne Lannigan, María C. Jaimes
Cytometry Part A (2020) Vol. 97, Iss. 10, pp. 1044-1051
Open Access | Times Cited: 272
Dendritic cell subsets and locations
Sreekumar Balan, Mansi Saxena, Nina Bhardwaj
International review of cell and molecular biology (2019), pp. 1-68
Closed Access | Times Cited: 270
Development, application and computational analysis of high-dimensional fluorescent antibody panels for single-cell flow cytometry
Jolanda Brummelman, Claudia Haftmann, Nicolás Gonzalo Núñez, et al.
Nature Protocols (2019) Vol. 14, Iss. 7, pp. 1946-1969
Closed Access | Times Cited: 181
Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre
Thomas M. Ashhurst, Felix Marsh‐Wakefield, Givanna Putri, et al.
Cytometry Part A (2021) Vol. 101, Iss. 3, pp. 237-253
Open Access | Times Cited: 128
OMIP‐102: 50‐color phenotyping of the human immune system with in‐depth assessment of T cells and dendritic cells
A Konecny, Peter L. Mage, Aaron J. Tyznik, et al.
Cytometry Part A (2024) Vol. 105, Iss. 6, pp. 430-436
Open Access | Times Cited: 19
A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level
Florian Mair, Jami R. Erickson, Valentin Voillet, et al.
Cell Reports (2020) Vol. 31, Iss. 1, pp. 107499-107499
Open Access | Times Cited: 94
Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma?
Anuradha Ray, Matthew Camiolo, Anne M. Fitzpatrick, et al.
Physiological Reviews (2020) Vol. 100, Iss. 3, pp. 983-1017
Open Access | Times Cited: 86
Current trends in flow cytometry automated data analysis software
Melissa Cheung, Jonathan J. Campbell, Liam Whitby, et al.
Cytometry Part A (2021) Vol. 99, Iss. 10, pp. 1007-1021
Open Access | Times Cited: 77
An updated guide for the perplexed: cytometry in the high-dimensional era
Thomas Liechti, Lukas M. Weber, Thomas M. Ashhurst, et al.
Nature Immunology (2021) Vol. 22, Iss. 10, pp. 1190-1197
Closed Access | Times Cited: 67
Integrated analysis of multimodal single-cell data with structural similarity
Yingxin Cao, Laiyi Fu, Jie Wu, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 21, pp. e121-e121
Open Access | Times Cited: 61
Costimulatory Molecules and Immune Checkpoints Are Differentially Expressed on Different Subsets of Dendritic Cells
Claudia Carenza, Francesca Calcaterra, Ferdinando Oriolo, et al.
Frontiers in Immunology (2019) Vol. 10
Open Access | Times Cited: 70
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 spectral flow cytometry
Fairooz Sahir, Jericha M. Mateo, Martin Steinhoff, et al.
Cytometry Part A (2020) Vol. 105, Iss. 5, pp. 404-410
Open Access | Times Cited: 57
A regulatory T cell signature distinguishes the immune landscape of COVID-19 patients from those with other respiratory infections
Sarah C. Vick, Marie Frutoso, Florian Mair, et al.
Science Advances (2021) Vol. 7, Iss. 46
Open Access | Times Cited: 41
Reproducibility of Flow Cytometry Through Standardization: Opportunities and Challenges
Tomáš Kalina
Cytometry Part A (2019) Vol. 97, Iss. 2, pp. 137-147
Open Access | Times Cited: 54
A Comprehensive Workflow for Applying Single-Cell Clustering and Pseudotime Analysis to Flow Cytometry Data
Janine Melsen, Monique M. van Ostaijen-ten Dam, Arjan C. Lankester, et al.
The Journal of Immunology (2020) Vol. 205, Iss. 3, pp. 864-871
Open Access | Times Cited: 43
The Whole Body as the System in Systems Immunology
Maya M.L. Poon, Donna L. Färber
iScience (2020) Vol. 23, Iss. 9, pp. 101509-101509
Open Access | Times Cited: 43
AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data
Carlos P. Roca, Oliver T. Burton, Václav Gergelits, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 33
CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
Simone Puccio, Giorgio Grillo, Giorgia Alvisi, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Spectral Flow Cytometry Methods and Pipelines for Comprehensive Immunoprofiling of Human Peripheral Blood and Bone Marrow
Milos Spasic, Esther R. Ogayo, Adrienne M. Parsons, et al.
Cancer Research Communications (2024) Vol. 4, Iss. 3, pp. 895-910
Open Access | Times Cited: 5
OMIP‐051 – 28‐color flow cytometry panel to characterize B cells and myeloid cells
Thomas Liechti, Mario Roederer
Cytometry Part A (2018) Vol. 95, Iss. 2, pp. 150-155
Open Access | Times Cited: 46
EuroFlow Lymphoid Screening Tube (LST) data base for automated identification of blood lymphocyte subsets
Juan Flores‐Montero, Georgiana Grigore, Rafael Fluxá, et al.
Journal of Immunological Methods (2019) Vol. 475, pp. 112662-112662
Open Access | Times Cited: 41
Transcriptional profiling reveals monocyte-related macrophages phenotypically resembling DC in human intestine
Lisa Richter, Ole J.B. Landsverk, Nader Atlasy, et al.
Mucosal Immunology (2018) Vol. 11, Iss. 5, pp. 1512-1523
Open Access | Times Cited: 40
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