Standout Papers

ProteinBERT: a universal deep-learning model of protein sequence and function 2021 2026 2022 2024376
  1. ProteinBERT: a universal deep-learning model of protein sequence and function (2022)
    Nadav Brandes, Dan Ofer et al. Bioinformatics
  2. The language of proteins: NLP, machine learning & protein sequences (2021)
    Dan Ofer, Nadav Brandes et al. Computational and Structural Biotechnology Journal

Immediate Impact

11 by Nobel laureates 10 from Science/Nature 59 standout
Sub-graph 1 of 20

Citing Papers

Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
Artificial intelligence in drug development
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5 intermediate papers

Works of Dan Ofer being referenced

ProteinBERT: a universal deep-learning model of protein sequence and function
2022 Standout
The language of proteins: NLP, machine learning & protein sequences
2021 Standout

Author Peers

Author Last Decade Papers Cites
Dan Ofer 611 25 77 98 14 750
Noelia Ferruz 595 21 52 111 20 724
Nadav Brandes 723 9 67 89 16 954
Shixiang Wan 619 6 98 85 11 808
Ethan C. Alley 811 4 50 120 7 968
Katherine M. Collins 467 7 83 90 16 752
Jerico Revote 803 6 25 93 20 929
Ehsaneddin Asgari 655 2 74 155 16 813
Yanyi Chu 647 10 57 353 20 828
Hasan Zulfiqar 654 2 47 91 27 777
Marcin J. Skwark 756 12 35 62 28 982

All Works

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2026