Standout Papers

Evaluating eligibility criteria of oncology trials using real-world data and AI 2021 2026 2022 2024155
  1. Evaluating eligibility criteria of oncology trials using real-world data and AI (2021)
    Ruishan Liu, Shemra Rizzo et al. Nature

Immediate Impact

3 from Science/Nature 25 standout
Sub-graph 1 of 12

Citing Papers

Causal machine learning for predicting treatment outcomes
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Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
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2 intermediate papers

Works of Ryan Copping being referenced

Learning from data with structured missingness
2023
Evaluating eligibility criteria of oncology trials using real-world data and AI
2021 StandoutNature

Author Peers

Author Last Decade Papers Cites
Ryan Copping 96 59 43 90 9 315
Samuel Whipple 94 48 54 87 9 279
Arturo López Pineda 40 34 24 49 15 320
G. Caleb Alexander 56 16 18 161 11 367
Alind Gupta 26 9 43 43 20 271
Grace Hsu 64 60 67 63 13 256
Jules T. Mitchel 59 10 15 66 15 335
Zhanglong Ji 49 32 8 8 12 295
Gaurav Singal 16 76 109 26 23 322
Martín-José Sepúlveda 8 33 41 13 7 253
Annemieke Witteveen 16 145 48 20 22 332

All Works

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Rankless by CCL
2026