Cell Population Visualization
Cell Population Visualization is a computational method that enables the representation and interpretation of collective behaviors, spatial distributions, and phenotypic heterogeneities within a group of individual cells derived from single-cell data, distinguished by its focus on aggregate-level patterns rather than single-cell-resolution details.
48
Publications
5.7K
Citations
355
Authors
139
Institutions
Publications per year
2017–2026
18
Parents
48
Construction of a human cell landscape at single-cell level
Xiaoping Han, Ziming Zhou, Lijiang Fei et al. · Nature · 2020 · 1.3K citations
Life Sciences, Biology, Cell Biology +14
CellExplorer: A framework for visualizing and characterizing single neurons
Peter Petersen, Joshua H. Siegle, Nicholas A. Steinmetz et al. · Neuron · 2021 · 163 citations · Full text
1–5 of 48
355
2
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2
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2
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2
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Leiden University Medical Center, Netherlands
2 publications · 306 citations
2
h-index
1–5 of 355
139

Lund University
Lund, Sweden
3 h-index
14 publications
319 citations
University of Washington
Seattle, United States
3 h-index
3 publications
337 citations
National Institutes of Health
Bethesda, United States
2 h-index
6 publications
152 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
9 publications
1.5K citations
University of California San Diego
San Diego, United States
2 h-index
8 publications
399 citations

North Tyneside General Hospital
North Shields, United Kingdom
2 h-index
5 publications
627 citations

University of Minnesota
Minneapolis, United States
2 h-index
5 publications
279 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
216 citations
1–8 of 139
3 publications · 2.2K citations
3
h-index
2 publications · 1.4K citations
2
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2 publications · 46 citations
2
h-index
2 publications · 298 citations
2
h-index
JI · 2 publications · 40 citations
2
h-index
1–5