Standout Papers

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning 2019 2026 2021 2023 408
  1. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning (2019)
    Pablo Gaínza, Freyr Sverrisson et al. Nature Methods

Immediate Impact

4 by Nobel laureates 6 from Science/Nature 58 standout
Sub-graph 1 of 23

Citing Papers

An evaluation framework for clinical use of large language models in patient interaction tasks
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Artificial intelligence in drug development
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1 intermediate paper

Works of Freyr Sverrisson being referenced

Fast end-to-end learning on protein surfaces
2021
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
2019 Standout

Author Peers

Author Last Decade Papers Cites
Freyr Sverrisson 381 187 14 115 5 471
Yuemin Bian 289 270 12 104 19 506
Bruce S. Duncan 262 101 18 128 10 412
Heval Ataş 351 290 3 91 10 505
Thamani Dahoun 305 235 3 69 6 523
Ricardo Arcila 265 238 4 73 4 534
Kuzma Khrabrov 312 392 21 262 2 556
Matthew Ragoza 358 337 4 166 6 527
Zhaorong Li 413 167 12 39 17 575
Peiran Jiang 349 114 12 40 12 533
Kaitlyn Gayvert 364 241 3 85 18 570

All Works

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2026