Standout Papers

Early prediction of circulatory failure in the intensive care unit using machine learning 2020 2026 2022 2024215
  1. Early prediction of circulatory failure in the intensive care unit using machine learning (2020)
    Stephanie L. Hyland, Martin Faltys et al. Nature Medicine

Immediate Impact

2 from Science/Nature 58 standout
Sub-graph 1 of 24

Citing Papers

G protein-coupled receptors (GPCRs): advances in structures, mechanisms and drug discovery
2024 Standout
A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
2024 Standout
2 intermediate papers

Works of Max Horn being referenced

Early prediction of circulatory failure in the intensive care unit using machine learning
2020 Standout
TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets
2017

Author Peers

Author Last Decade Papers Cites
Max Horn 178 184 31 70 14 443
Annelaura Bach Nielsen 134 182 12 122 17 468
Anthony Lin 85 89 17 65 14 395
Marianne Johansson Jørgensen 135 236 34 21 14 458
Ben J. Marafino 74 122 10 42 16 403
Jens Schierbeck 164 103 8 36 24 470
Simon Meyer Lauritsen 125 236 34 20 7 390
Tielman Van Vleck 111 112 8 120 15 447
Artuur Leeuwenberg 46 186 9 43 22 441
Jeremy C. Weiss 115 107 8 19 25 404
Andrew P. Michelson 128 59 16 81 31 419

All Works

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2026