Single-cell Analysis
Single-Cell Analysis is an analytical methodology in molecular and cellular biology that quantifies genomic, transcriptomic, epigenomic, proteomic or phenotypic features at the resolution of individual cells, thereby resolving cell-to-cell heterogeneity that is obscured in bulk population measurements.
5.9K
Publications
881.2K
Citations
31.6K
Authors
4.1K
Institutions
Publications per year
2017–2026
4.1K
5.9K
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Integrated analysis of multimodal single-cell data
Yuhan Hao, Stephanie Hao, Erica Andersen‐Nissen et al. · Cell · 2021 · 16K citations · Full text
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan et al. · Nature Methods · 2019 · 10.5K citations · Full text
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4.1K
Harvard University
Cambridge, United States
144 h-index
1.7K publications
716.8K citations

Howard Hughes Medical Institute
Chevy Chase, United States
128 h-index
498 publications
234.2K citations
Stanford University
Stanford, United States
120 h-index
1.8K publications
674.9K citations

Broad Institute
Cambridge, United States
108 h-index
1.5K publications
776.5K citations
Massachusetts Institute of Technology
Cambridge, United States
85 h-index
475 publications
240.7K citations
University of Cambridge
Cambridge, United Kingdom
85 h-index
610 publications
228.5K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
82 h-index
626 publications
244.8K citations
Chan Zuckerberg Initiative (United States)
Redwood City, United States
72 h-index
414 publications
143.1K citations
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250 publications · 54.5K citations
114
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179 publications · 89.5K citations
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107 publications · 77.5K citations
84
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159 publications · 58K citations
82
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PNAS · 177 publications · 22.6K citations
77
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