Standout Papers

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer 2023 2026 2024121
  1. Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer (2023)
    Sebastian Foersch, Ann-Christin Woerl et al. Nature Medicine

Immediate Impact

1 from Science/Nature 34 standout
Sub-graph 1 of 11

Citing Papers

Multi-OMICS approaches in cancer biology: New era in cancer therapy
2024 Standout
Deep learning based multimodal biomedical data fusion: An overview and comparative review
2024 Standout
2 intermediate papers

Works of Stefan Schulz being referenced

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
2023 Standout
Multimodal Deep Learning for Prognosis Prediction in Renal Cancer
2021

Author Peers

Author Last Decade Papers Cites
Stefan Schulz 143 38 59 119 83 11 291
Juan Antonio Retámero 105 24 68 163 80 13 273
Jing Hang 166 46 52 96 38 20 304
Shinichi Tsuchiya 51 41 73 66 47 15 332
Qiyu Zhao 175 12 39 115 79 17 290
Patricia Raciti 147 20 87 191 52 10 276
Junli Shi 99 65 67 30 63 16 320
Emmanuel Agosto‐Arroyo 141 44 38 192 78 11 308
David Spak 181 10 80 137 84 8 305
Robert S. McGee 57 56 61 74 31 12 334
Carlos F. Villamil 91 49 105 136 51 19 288

All Works

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Rankless by CCL
2026