Standout Papers

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography 2023 2026 202496
  1. Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography (2023)
    Peter G. Mikhael, Jeremy Wohlwend et al. Journal of Clinical Oncology

Immediate Impact

2 from Science/Nature 58 standout
Sub-graph 1 of 21

Citing Papers

MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
2024 Standout
MetaboAnalystR 4.0: a unified LC-MS workflow for global metabolomics
2024 Standout
1 intermediate paper

Works of Gigin Lin being referenced

Longitudinal urinary metabolomic profiling reveals metabolites for asthma development in early childhood
2018

Author Peers

Author Last Decade Papers Cites
Gigin Lin 966 778 474 557 132 2.6k
Molly Brewer 525 619 832 320 94 3.4k
Meritxell Arenas 654 330 298 371 140 2.2k
Anthony M. Magliocco 485 331 1317 1038 136 4.1k
Xiaojun Chen 241 967 898 213 191 2.8k
Hiroyuki Yoshida 632 105 354 447 118 2.4k
Toralf Reimer 325 569 541 448 197 4.1k
Francesmary Modugno 119 572 811 506 94 3.7k
Christian Seitz 158 1113 504 1049 95 3.2k
Aleksandra Gentry‐Maharaj 199 243 1032 175 84 2.4k
Zhen‐Yu He 242 301 847 738 175 3.2k

All Works

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Rankless by CCL
2026