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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:

Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy, et al.
Nature Biotechnology (2018) Vol. 37, Iss. 1, pp. 38-44
Open Access | Times Cited: 4358

Showing 1-25 of 4358 citing articles:

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John J. Healy
arXiv (Cornell University) (2018)
Open Access | Times Cited: 6125
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan, et al.
Nature Methods (2019) Vol. 16, Iss. 12, pp. 1289-1296
Open Access | Times Cited: 5462
Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection
Xin Zou, Ke Chen, Jiawei Zou, et al.
Frontiers of Medicine (2020) Vol. 14, Iss. 2, pp. 185-192
Open Access | Times Cited: 2260
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
Molecular Systems Biology (2019) Vol. 15, Iss. 6
Open Access | Times Cited: 1658
Clonal replacement of tumor-specific T cells following PD-1 blockade
Kathryn E. Yost, Ansuman T. Satpathy, Daniel K. Wells, et al.
Nature Medicine (2019) Vol. 25, Iss. 8, pp. 1251-1259
Open Access | Times Cited: 1128
Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition
Allison J. Greaney, Tyler N. Starr, Pavlo Gilchuk, et al.
Cell Host & Microbe (2020) Vol. 29, Iss. 1, pp. 44-57.e9
Open Access | Times Cited: 1058
Exploring tissue architecture using spatial transcriptomics
Anjali Rao, Dalia Barkley, Gustavo S. França, et al.
Nature (2021) Vol. 596, Iss. 7871, pp. 211-220
Open Access | Times Cited: 959
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: 863
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Bram Van de Sande, Christopher Flerin, Kristofer Davie, et al.
Nature Protocols (2020) Vol. 15, Iss. 7, pp. 2247-2276
Closed Access | Times Cited: 824
The art of using t-SNE for single-cell transcriptomics
Dmitry Kobak, Philipp Berens
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 810
Visualizing structure and transitions in high-dimensional biological data
Kevin R. Moon, David van Dijk, Zheng Wang, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 12, pp. 1482-1492
Open Access | Times Cited: 798
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Geng Chen, Baitang Ning, Tieliu Shi
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 792
Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion
Ansuman T. Satpathy, Jeffrey M. Granja, Kathryn E. Yost, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 8, pp. 925-936
Open Access | Times Cited: 774
Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19
Aymeric Silvin, Nicolas Chapuis, Garett Dunsmore, et al.
Cell (2020) Vol. 182, Iss. 6, pp. 1401-1418.e18
Open Access | Times Cited: 769
Pan-cancer single-cell landscape of tumor-infiltrating T cells
Liangtao Zheng, Shishang Qin, Wen Si, et al.
Science (2021) Vol. 374, Iss. 6574
Closed Access | Times Cited: 765
TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment
Dongqing Sun, Jin Wang, Ya Han, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D1420-D1430
Open Access | Times Cited: 743
Extrafollicular B cell responses correlate with neutralizing antibodies and morbidity in COVID-19
Matthew C. Woodruff, Richard P. Ramonell, Doan C. Nguyen, et al.
Nature Immunology (2020) Vol. 21, Iss. 12, pp. 1506-1516
Open Access | Times Cited: 666
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Lihua Zhang, Qing Nie
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 643
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Ruben Dries, Qian Zhu, Rui Dong, et al.
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 597
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans
The Tabula Sapiens Consortium, Robert C. Jones, Jim Karkanias, et al.
Science (2022) Vol. 376, Iss. 6594
Open Access | Times Cited: 596
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 582
Peripheral T cell expansion predicts tumour infiltration and clinical response
Thomas D. Wu, Shravan Madireddi, Patrícia E. de Almeida, et al.
Nature (2020) Vol. 579, Iss. 7798, pp. 274-278
Closed Access | Times Cited: 576
Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19
Yapeng Su, Daniel Chen, Dan Yuan, et al.
Cell (2020) Vol. 183, Iss. 6, pp. 1479-1495.e20
Open Access | Times Cited: 542
Homeostatic mini-intestines through scaffold-guided organoid morphogenesis
Mikhail Nikolaev, Olga Mitrofanova, Nicolas Broguière, et al.
Nature (2020) Vol. 585, Iss. 7826, pp. 574-578
Closed Access | Times Cited: 539
Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection
Xuemei Xie, Qiang Shi, Peng Wu, et al.
Nature Immunology (2020) Vol. 21, Iss. 9, pp. 1119-1133
Open Access | Times Cited: 535
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