Standout Papers

Obtaining genetics insights from deep learning via explainable artificial intelligence 2022 2026 2023 2024157
  1. Obtaining genetics insights from deep learning via explainable artificial intelligence (2022)
    Gherman Novakovsky, Nick Dexter et al. Nature Reviews Genetics

Immediate Impact

1 by Nobel laureates 19 standout
Sub-graph 1 of 9

Citing Papers

Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare
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Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
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2 intermediate papers

Works of Nick Dexter being referenced

Obtaining genetics insights from deep learning via explainable artificial intelligence
2022 Standout

Author Peers

Author Last Decade Papers Cites
Nick Dexter 30 70 12 97 39 11 256
Melvin K. Simmons 5 42 77 17 14 309
Ravishankar R. Vallabhajosyula 14 18 215 6 8 290
P. Hall 29 69 5 33 11 16 303
Botond Cseke 7 95 105 7 15 285
Ci‐Ren Jiang 11 55 3 95 8 14 309
Artin Armagan 19 98 2 54 29 7 293
Aurora Torrente 4 48 2 141 16 17 276
Rui M. Castro 11 60 4 15 44 13 168
Ling Zhou 11 83 6 25 8 23 306
Arne Kovac 17 40 19 15 48 8 239

All Works

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2026