Single-cell Data Visualization
Single-Cell Data Visualization is a subfield of biomedical data visualization that develops and applies computational methods for transforming high-dimensional single-cell omics measurements into graphical and often interactive representations that preserve cellular relationships and heterogeneity to support interpretation, hypothesis generation, and communication in single-cell systems biology.
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Publications
41.4K
Citations
1.8K
Authors
529
Institutions
Publications per year
2017–2026
235
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308
Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations
Mapping the Mouse Cell Atlas by Microwell-Seq
Xiaoping Han, Renying Wang, Yincong Zhou et al. · Cell · 2018 · 1.7K citations · Full text
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Broad Institute
Cambridge, United States
20 h-index
67 publications
5.7K citations
Harvard University
Cambridge, United States
17 h-index
82 publications
13.4K citations
Stanford University
Stanford, United States
17 h-index
112 publications
17.9K citations

Helmholtz Zentrum München
Munich, Germany
12 h-index
97 publications
7.1K citations
Yale University
New Haven, United States
12 h-index
91 publications
10.5K citations
University of Pennsylvania
Philadelphia, United States
12 h-index
48 publications
3.1K citations
University of California San Diego
San Diego, United States
9 h-index
34 publications
1.6K citations
Inserm
Paris, France
9 h-index
41 publications
2.3K citations
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Repository · 44 publications · 1.8K citations
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29 publications · 5.4K citations
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19 publications · 5.1K citations
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11 publications · 2.2K citations
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