Standout Papers

Machine learning in chemoinformatics and drug discovery 2018 2026 2020 2023 588
  1. Machine learning in chemoinformatics and drug discovery (2018)
    Stefano Rensi, Wen Torng et al. Drug Discovery Today

Immediate Impact

7 by Nobel laureates 15 from Science/Nature 61 standout
Sub-graph 1 of 22

Citing Papers

Computational design of soluble and functional membrane protein analogues
2024 StandoutNatureNobel
De novo protein design—From new structures to programmable functions
2024 Standout
2 intermediate papers

Works of Wen Torng being referenced

3D deep convolutional neural networks for amino acid environment similarity analysis
2017

Author Peers

Author Last Decade Papers Cites
Wen Torng 607 677 59 326 7 986
Eloy Félix 488 550 37 204 11 850
Xiaozhe Wan 545 636 35 423 13 1.1k
Matthias Zentgraf 497 451 56 258 14 899
Nils Weskamp 554 553 28 200 19 832
Xiaoqin Tan 608 617 58 244 24 956
Elif Özkırımlı 923 929 27 372 5 1.1k
Philipp Eiden 506 837 65 735 9 1.1k
Anh‐Tien Ton 591 758 41 191 13 1.2k
Kevin McCloskey 528 716 56 613 10 1.1k
Lukas Friedrich 477 552 100 306 24 866

All Works

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Rankless by CCL
2026