Standout Papers

A Deep Learning Approach to Antibiotic Discovery 2019 2026 2021 2023 1.2k
  1. A Deep Learning Approach to Antibiotic Discovery (2020)
    Jonathan Stokes, Kevin Yang et al. Cell
  2. Analyzing Learned Molecular Representations for Property Prediction (2019)
    Kevin Yang, Kyle Swanson et al. Journal of Chemical Information and Modeling
  3. From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment (2023)
    Kyle Swanson, Eric Q. Wu et al. Cell
  4. Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii (2023)
    Gary Liu, Denise B. Catacutan et al. Nature Chemical Biology
  5. Generative AI for designing and validating easily synthesizable and structurally novel antibiotics (2024)
    Kyle Swanson, Gary Liu et al. Nature Machine Intelligence
  6. ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries (2024)
    Kyle Swanson, Jeremy Leitz et al. Bioinformatics

Immediate Impact

2 by Nobel laureates 16 from Science/Nature 62 standout
Sub-graph 1 of 23

Citing Papers

Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
Artificial intelligence in drug development
2025 Standout
25 intermediate papers

Works of Kyle Swanson being referenced

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
2023 Standout
A Deep Learning Approach to Antibiotic Discovery
2020 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Kyle Swanson 1357 1397 998 19 3.0k
Wengong Jin 1476 1824 1447 18 3.2k
Paul Czodrowski 2436 1189 697 37 3.9k
Michaela Spitzer 1321 877 409 17 2.6k
Teague Sterling 2778 2369 778 9 4.6k
Jessica Vamathevan 1004 763 382 17 2.1k
Kevin Yang 1112 1309 959 12 2.3k
Jianfeng Pei 3058 2309 723 86 5.0k
Michel A. Cuendet 2014 610 475 48 3.8k
Jiyao Wang 2461 1989 542 50 4.9k
Chang‐Yu Hsieh 1912 2078 1086 121 4.3k

All Works

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Rankless by CCL
2026