Most cited papers from FlowJo (United States)

FlowJo (United States)

What are the most cited papers from FlowJo (United States)?

The most cited paper from FlowJo (United States) is "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., 2019), with 653 citations. Next come "Probability binning comparison: A metric for quantitating univariate distribution differences" (174) and "Progressive Cellular Senescence Mediates Renal Dysfunction in Ischemic Nephropathy" (107).

Published TypeFieldAccessCitations

Showing 25 of 25 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	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 Open access	28 Nov 2019	653
2	Probability binning comparison: A metric for quantitating univariate distribution differences Mario Roederer, Adam Treister, Wayne Moore et al. · Cytometry	2001	174
3	Progressive Cellular Senescence Mediates Renal Dysfunction in Ischemic Nephropathy Seo Rin Kim, Amrutesh S. Puranik, Kai Jiang et al. · Journal of the American Society of Nephrology Open access	16 Jun 2021	107
4	Probability binning comparison: a metric for quantitating multivariate distribution differences Mario Roederer, Wayne Moore, Adam Treister et al. · Cytometry Open access	2001	99
5	Data File Standard for Flow Cytometry, version FCS 3.1 Josef Špidlen et al. · Cytometry Part A Open access	24 Nov 2009	94
6	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 Open access	17 May 2021	56
7	FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows Scott M. White, John Quinn, Jennifer Enzor et al. · Frontiers in Immunology Open access	5 Nov 2021	54
8	A Guide on Analyzing Flow Cytometry Data Using Clustering Methods and Nonlinear Dimensionality Reduction (tSNE or UMAP) Thomas A. Ujas, Veronica Obregon-Perko, Ann Marie Stowe · Methods in molecular biology Book chapter	2023	40
9	Autoreactive T cell receptors with shared germline-like α chains in type 1 diabetes Peter S. Linsley, Fariba Barahmand-pour-Whitman, Elisa Balmas et al. · JCI Insight Open access	21 Nov 2021	35
10	Data Standards for Flow Cytometry Josef Špidlen, Robert C. Gentleman, Perry Haaland et al. · OMICS A Journal of Integrative Biology Open access	Jun 2006	28
11	Evaluating flow cytometer performance with weighted quadratic least squares analysis of L ED and multi‐level bead data David R. Parks, Faysal El Khettabi, Eric S. Chase et al. · Cytometry Part A Open access	3 Feb 2017	22
12	Methodology for evaluating and comparing flow cytometers: A multisite study of 23 instruments David R. Parks, Wayne Moore, Ryan R. Brinkman et al. · Cytometry Part A Open access	23 Sep 2018	21
13	Data File Standard for Flow Cytometry, Version FCS 3.2 Josef Špidlen, Wayne Moore, David R. Parks et al. · Cytometry Part A Open access	3 Sep 2020	16
14	Automated optimized parameters for t-distributed stochastic neighbor embedding improve visualization and allow analysis of large datasets Anna C. Belkina, Christopher O. Ciccolella, Rina Anno et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	24 Oct 2018	15
15	Functional CVIDs phenotype clusters identified by the integration of immune parameters after BNT162b2 boosters Eva Piano Mortari et al. · Frontiers in Immunology Open access	25 May 2023	10
16	Hepatic iNKT cells produce type 2 cytokines and restrain antiviral T cells during acute hepacivirus infection Svjetlana Raus, Jarrett Lopez-Scarim, Joshua Luthy et al. · Frontiers in Immunology Open access	9 Sep 2022	9
17	Rapid discrimination of MHC class I and killer cell lectin-like receptor allele variants by high-resolution melt analysis Alyssa Lundgren, Sharon Kim, Michael David Stadnisky et al. · Immunogenetics Open access	30 Jun 2012	6
18	Integrated machine learning approaches for flow cytometric quantification of myeloid-derived suppressor cells in acute sepsis Anthony S. Bonavia, Abigail M. Samuelsen, Joshua Luthy et al. · Frontiers in Immunology Open access	17 Nov 2022	4
19	AutoSpill: A method for calculating spillover coefficients to compensate or unmix high-parameter flow cytometry data Carlos P. Roca, Oliver T. Burton, Teresa Prezzemolo et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	29 Jun 2020	4
20	ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging Kim Blenman, Josef Špidlen, David R. Parks et al. · Cytometry Part A Open access	3 Sep 2020	3
21	Assessing the impact of autologous neutralizing antibodies on viral rebound in postnatally SHIV-infected ART-treated infant rhesus macaques Ellie Mainou, Stella J. Berendam, Veronica Obregon-Perko et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	22 Jul 2023	2
22	Comparative Analysis of Within-Host Dynamics of Acute Infection and Viral Rebound Dynamics in Postnatally SHIV-Infected ART-Treated Infant Rhesus Macaques Ellie Mainou, Stella J. Berendam, Veronica Obregon-Perko et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	23 May 2024	1
23	Expanding the conservation genomics toolbox: incorporating structural variants to enhance functional studies for species of conservation concern Jana Wold, Stephanie J. Galla, David Eccles et al. Preprint	25 Jan 2021	1
24	Assessing the impact of autologous neutralizing antibodies on rebound dynamics in postnatally SHIV-infected ART-treated infant rhesus macaques Ellie Mainou, Stella J. Berendam, Veronica Obregon-Perko et al. · bioRxiv (Cold Spring Harbor Laboratory) PreprintOpen access	3 Jun 2024	0
25	The response to BTN62b2 booster doses demonstrates that serum antibodies do not predict the establishment of immune B-cell memory in common variable immune deficiencies Eva Piano Mortari et al. · medRxiv PreprintOpen access	27 Dec 2022	0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.