Standout Papers

Biologically informed deep neural network for prostate cancer discovery 2021 2026 2022 2024209
  1. Biologically informed deep neural network for prostate cancer discovery (2021)
    Haitham Elmarakeby, Justin H. Hwang et al. Nature

Immediate Impact

48 standout
Sub-graph 1 of 18

Citing Papers

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Characterizing soil COPs eco-risk in China
2025 Standout
2 intermediate papers

Works of Camden Richter being referenced

Biologically informed deep neural network for prostate cancer discovery
2021 StandoutNature

Author Peers

Author Last Decade Papers Cites
Camden Richter 118 40 2 63 3 224
Sydney Gang 121 37 63 3 252
Jett Crowdis 147 72 63 8 290
Taylor E. Arnoff 156 52 64 10 294
Safiye Çelik 133 46 2 48 10 271
Milad Mostavi 197 69 83 6 281
George Alexandru Adam 114 42 25 2 210
Sören Richard Stahlschmidt 70 17 3 96 2 288
Euiseong Ko 192 47 28 6 274
Chengliang Dong 145 84 55 5 271
Zixiang Pan 151 32 37 6 201

All Works

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2026