Standout Papers

Protein design and variant prediction using autoregressive generative models 2021 2026 2022 2024184
  1. Protein design and variant prediction using autoregressive generative models (2021)
    Jung-Eun Shin, Adam J. Riesselman et al. Nature Communications

Immediate Impact

10 by Nobel laureates 16 from Science/Nature 79 standout
Sub-graph 1 of 21

Citing Papers

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
2025 Standout
Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
2 intermediate papers

Works of Jung-Eun Shin being referenced

Protein design and variant prediction using autoregressive generative models
2021 Standout

Author Peers

Author Last Decade Papers Cites
Jung-Eun Shin 298 49 17 113 7 333
Christophe Deprez 239 54 32 115 13 323
Adeola O. Grillo 307 35 10 141 7 353
Ku-chuan Hsiao 283 52 40 78 9 352
Alexander S. Baier 289 16 26 207 7 360
Benedikt T. Kuhn 170 26 23 61 5 283
Laurence J. Altobell 237 37 18 104 9 351
Cameron J. Glasscock 255 30 47 63 10 332
Kevin T. Boulware 271 38 38 75 6 357
Lorenz Chatwell 232 20 12 105 9 364
Yoshitaka Ueda 285 18 34 226 12 368

All Works

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2026