Standout Papers

Protein interaction networks revealed by proteome coevolution 2019 2026 2021 2023 882
  1. Protein interaction networks revealed by proteome coevolution (2019)
    Qian Cong, Ivan Anishchenko et al. Science
  2. De novo protein design by deep network hallucination (2021)
    Ivan Anishchenko, Samuel J. Pellock et al. Nature
  3. The trRosetta server for fast and accurate protein structure prediction (2021)
    Zongyang Du, Hong Su et al. Nature Protocols
  4. Improved protein structure refinement guided by deep learning based accuracy estimation (2021)
    Hahnbeom Park, Minkyung Baek et al. Nature Communications
  5. Improved protein structure prediction using predicted interresidue orientations (2020)
    Jianyi Yang, Ivan Anishchenko et al. Proceedings of the National Academy of Sciences
  6. Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA (2023)
    Minkyung Baek, Ryan McHugh et al. Nature Methods
  7. De novo design of luciferases using deep learning (2023)
    Hsien‐Wei Yeh, Christoffer Norn et al. Nature

Citation Impact

17 by Nobel laureates 35 from Science/Nature 70 standout
Sub-graph 1 of 16

Citing Papers

Computational design of soluble and functional membrane protein analogues
2024 StandoutNatureNobel
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery
2024 Standout

Works of Ivan Anishchenko being referenced

De novo design of luciferases using deep learning
2023 StandoutNatureNobel
De novo protein design by deep network hallucination
2021 StandoutNatureNobel

Author Peers

Author Molecular Biology Materials Chemistry CTM Last Decade Papers Cites
Ivan Anishchenko 2376 585 363 37 2.9k
Hideko Ohgusu 93 2 1 9 405
G. Box 231 8 16 530
Frank Stueber 46 1 28 668
Nigel J. Seeley 3 127 25 433
Hiroki Inui 439 3 23 704

All Works

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2026