Standout Papers

Structure-based protein function prediction using graph convolutional networks 2021 2026 2022 2024416
  1. Structure-based protein function prediction using graph convolutional networks (2021)
    Vladimir Gligorijević, P. Douglas Renfrew et al. Nature Communications

Immediate Impact

2 by Nobel laureates 5 from Science/Nature 55 standout
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2 intermediate papers

Works of Daniel Berenberg being referenced

Structure-based protein function prediction using graph convolutional networks
2021 Standout

Author Peers

Author Last Decade Papers Cites
Daniel Berenberg 430 6 6 110 59 6 512
I. Fisk 387 6 108 52 22 512
Subu Subramanian 356 1 1 57 43 8 469
Ben Krause 322 2 1 58 41 21 466
Isaac T. Yonemoto 290 7 71 24 14 474
Saad Haider 240 50 37 12 445
Cam Macdonell 358 5 29 34 10 506
Judith D. Cohn 346 1 1 110 100 15 443
Elisa Cilia 437 1 63 85 18 539
Wenzhi Mao 322 3 1 75 73 11 428
Kuang Lin 349 1 30 107 8 417

All Works

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2026