Standout Papers

Gene ontology analysis for RNA-seq: accounting for selection bias 2010 2026 2015 2020 5.1k
  1. Gene ontology analysis for RNA-seq: accounting for selection bias (2010)
    Matthew D. Young, Matthew J. Wakefield et al. Genome biology
  2. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data (2020)
    Matthew D. Young, Sam Behjati GigaScience
  3. BBKNN: fast batch alignment of single cell transcriptomes (2019)
    Krzysztof Polański, Matthew D. Young et al. Bioinformatics
  4. Intra-tumour diversification in colorectal cancer at the single-cell level (2018)
    Sophie Roerink, Nobuo Sasaki et al. Nature

Immediate Impact

7 by Nobel laureates 10 from Science/Nature 72 standout
Sub-graph 1 of 19

Citing Papers

edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets
2025 Standout
Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution
2025 Standout
14 intermediate papers

Works of Matthew D. Young being referenced

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data
2020 Standout
BBKNN: fast batch alignment of single cell transcriptomes
2019 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
Matthew D. Young 4430 619 1226 1963 53 8.3k
Jianmin Wu 4553 412 1376 1434 84 7.6k
Rob Patro 5392 256 1021 1348 57 8.6k
Niall J. Lennon 4266 334 915 959 65 8.0k
Matthias Schlesner 4585 943 1293 1081 93 9.2k
Wei Gao 7073 816 1786 1920 79 11.3k
Chanhee Park 4577 201 827 2392 76 8.1k
Fran Supek 4348 239 1054 1192 56 7.1k
Páll Melsted 5491 235 852 1525 31 9.0k
Susan Land 4308 879 1247 1980 70 10.2k
Yunshun Chen 5515 610 1746 830 34 9.0k

All Works

Loading papers...

Rankless by CCL
2026