Standout Papers

Current progress and open challenges for applying deep learning across the biosciences 2022 2026 2023 2024149
  1. Current progress and open challenges for applying deep learning across the biosciences (2022)
    Nicolae Sapoval, Amirali Aghazadeh et al. Nature Communications

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 52 standout
Sub-graph 1 of 23

Citing Papers

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2 intermediate papers

Works of Mohammadamin Edrisi being referenced

Current progress and open challenges for applying deep learning across the biosciences
2022 Standout

Author Peers

Author Last Decade Papers Cites
Mohammadamin Edrisi 208 103 40 44 9 305
Herman H. H. B. M. van Haagen 243 58 19 63 7 349
Yuan Gao 257 37 42 31 23 355
Maria Krestyaninova 274 24 25 38 9 330
Christian Wiwie 193 36 60 13 7 313
Andrew E. Bruno 252 114 6 31 15 364
Jack P. Hou 258 112 18 50 7 344
Céline Rouveirol 100 23 113 45 18 260
Renqiang Min 247 42 26 43 7 344
Markus Hsi-Yang Fritz 226 49 103 61 5 324
Vivek Das 221 45 15 34 15 319

All Works

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2026