Standout Papers

Dimensionality reduction for visualizing single-cell data using UMAP 2018 2026 2020 2023 2.8k
  1. Dimensionality reduction for visualizing single-cell data using UMAP (2018)
    Étienne Becht, Leland McInnes et al. Nature Biotechnology
  2. Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cells (2019)
    Zhaoyuan Liu, Yaqi Gu et al. Cell

Immediate Impact

1 by Nobel laureates 16 from Science/Nature 51 standout
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Citing Papers

Spatial proteomics in neurons at single-protein resolution
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Works of Immanuel Kwok being referenced

Dimensionality reduction for visualizing single-cell data using UMAP
2018 Standout

Author Peers

Author Last Decade Papers Cites
Immanuel Kwok 1080 1849 233 402 12 3.3k
Philipp Angerer 994 3066 178 422 10 4.0k
Wouter Saelens 1410 2682 282 484 18 3.9k
Qi Mao 850 2136 266 444 36 3.6k
Samuel L. Wolock 908 2271 163 365 15 3.3k
Jeffrey A. Farrell 1071 3346 258 524 16 4.6k
Vân Anh Huynh‐Thu 1182 3512 313 552 25 4.8k
Romain Lopez 615 2098 95 240 10 2.6k
Eli R. Zunder 1175 2968 199 604 29 4.2k
Prapti Pokharel 1089 2770 273 515 5 3.8k
Vito Riccardo Tomaso Zanotelli 867 2175 360 903 17 3.5k

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