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

49 standout
Sub-graph 1 of 20

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 Jett Crowdis being referenced

Biologically informed deep neural network for prostate cancer discovery
2021 StandoutNature

Author Peers

Author Last Decade Papers Cites
Jett Crowdis 72 147 85 8 290
Taylor E. Arnoff 52 156 45 10 294
Camden Richter 40 118 37 3 224
Mishal Patel 33 168 29 11 316
John J. Y. Lee 54 178 30 10 300
Fleur Jeanquartier 31 87 22 14 270
Saman Farahmand 45 85 29 10 283
Chengliang Dong 84 145 46 5 271
Chunhui Cai 39 130 21 20 192
Kruthi Suvarna 29 84 17 10 216
Doyeon Ha 62 108 37 5 270

All Works

Loading papers...

Rankless by CCL
2026