Single-cell Visualization
Single-Cell Visualization is a data visualization methodology in single-cell bioinformatics that produces interactive, typically low-dimensional graphical representations of high-dimensional measurements from individual cells to enable the exploration, interpretation, and communication of cellular heterogeneity and structure.
506
Publications
59K
Citations
3K
Authors
829
Institutions
Publications per year
2017–2026
303
Parents
506
Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
Yury Goltsev, Nikolay Samusik, Julia Kennedy‐Darling et al. · Cell · 2018 · 1.6K citations · Full text
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Leiden University Medical Center, Netherlands
4 publications · 916 citations
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829
Stanford University
Stanford, United States
22 h-index
128 publications
41.1K citations
Harvard University
Cambridge, United States
21 h-index
151 publications
34.2K citations

Broad Institute
Cambridge, United States
20 h-index
85 publications
18.2K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
72 publications
6.3K citations

Howard Hughes Medical Institute
Chevy Chase, United States
16 h-index
65 publications
16.4K citations
University of Cambridge
Cambridge, United Kingdom
13 h-index
79 publications
40.5K citations
Massachusetts General Hospital
Boston, United States
11 h-index
36 publications
3.4K citations
California Institute of Technology
Pasadena, United States
11 h-index
50 publications
18.1K citations
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23 publications · 6.4K citations
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Repository · 39 publications · 1.5K citations
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22 publications · 6.7K citations
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14 publications · 754 citations
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14 publications · 2.6K citations
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