Standout Papers

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells 2020 2026 2022 2024252
  1. Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells (2020)
    Brent M. Kuenzi, Jisoo Park et al. Cancer Cell

Immediate Impact

4 from Science/Nature 54 standout
Sub-graph 1 of 23

Citing Papers

Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy
2024 Standout
Deep learning in spectral analysis: Modeling and imaging
2024 Standout
2 intermediate papers

Works of Kyle S. Sanchez being referenced

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
2020 Standout
Disruption of NSD1 in Head and Neck Cancer Promotes Favorable Chemotherapeutic Responses Linked to Hypomethylation
2018

Author Peers

Author Last Decade Papers Cites
Kyle S. Sanchez 270 121 25 89 6 386
Jouhyun Jeon 258 62 12 102 15 419
Huaicheng Sun 229 81 12 92 10 352
José Liñares-Blanco 195 181 9 27 10 371
Disong Wang 223 87 6 53 7 422
Ksenia Lezhnina 210 105 13 52 8 350
Suleiman A. Khan 242 144 14 49 19 341
Changcheng Lu 300 245 13 46 9 395
Weiqi Xia 231 64 3 52 9 371
Yihong Yu 279 80 29 73 13 440
Kristina Preuer 242 250 30 28 2 346

All Works

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Rankless by CCL
2026