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 57 standout
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2 intermediate papers

Works of I. Fisk being referenced

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

Author Peers

Author Last Decade Papers Cites
I. Fisk 48 28 387 108 52 22 512
Astrid Maaß 28 25 338 70 27 26 588
Julianus Pfeuffer 28 87 331 34 12 13 470
Debojyoti Dutta 74 5 281 93 21 16 529
Cam Macdonell 13 10 358 29 34 10 506
Charalampos Moschopoulos 48 5 345 106 10 14 612
James Southern 38 15 274 31 37 15 626
Wolfgang Fleischmann 7 14 538 39 30 11 637
Didier Devaurs 10 3 364 132 52 24 613
Stefan Richter 6 9 356 113 75 28 537
Stefan J. Zasada 97 84 210 111 59 24 465

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2026