Standout Papers

Using deep learning to annotate the protein universe 2022 2026 2023 2024150
  1. Using deep learning to annotate the protein universe (2022)
    Maxwell L. Bileschi, David Belanger et al. Nature Biotechnology

Immediate Impact

2 by Nobel laureates 11 from Science/Nature 51 standout
Sub-graph 1 of 17

Citing Papers

Perils and opportunities in using large language models in psychological research
2024 Standout
Rapid in silico directed evolution by a protein language model with EVOLVEpro
2024 StandoutScience
3 intermediate papers

Works of David Belanger being referenced

ProteInfer, deep neural networks for protein functional inference
2023
Using deep learning to annotate the protein universe
2022 Standout

Author Peers

Author Last Decade Papers Cites
David Belanger 195 24 36 10 249
Sabrina de Azevedo Silveira 185 12 1 74 18 282
René Rahn 133 59 30 6 209
Sandra Viknander 201 10 28 9 234
Ruijiang Li 169 10 46 13 230
Luca Pireddu 182 48 42 21 286
Simona Povilonienė 173 10 21 7 216
Vinodh J Sahayasheela 111 24 19 16 229
R. Clyde White 114 22 1 57 14 227
Shen Niu 264 12 36 14 296
Drew Bryant 222 8 50 14 264

All Works

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2026