Standout Papers

Machine learning for antimicrobial peptide identification and design 2024 202676
  1. Machine learning for antimicrobial peptide identification and design (2024)
    Fangping Wan, Felix Wong et al. Nature Reviews Bioengineering
  2. Deep-learning-enabled antibiotic discovery through molecular de-extinction (2024)
    Fangping Wan, Marcelo D. T. Torres et al. Nature Biomedical Engineering

Immediate Impact

3 by Nobel laureates 6 from Science/Nature 50 standout
Sub-graph 1 of 21

Citing Papers

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
2025 Standout
Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
1 intermediate paper

Works of Fangping Wan being referenced

Deep generative models for peptide design
2022
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
2020

Author Peers

Author Last Decade Papers Cites
Fangping Wan 784 481 132 152 16 948
Yanyi Chu 647 353 43 131 20 828
Qiankun Wang 516 286 31 74 22 918
Alex T. Müller 698 398 317 261 19 940
Tunca Doğan 805 570 16 191 27 1.1k
Laurent Jacob 763 324 18 72 27 1.2k
Hiroto Saigo 739 297 23 116 28 1.1k
Minjie Mou 637 276 18 70 30 889
Hai-Cheng Yi 751 333 55 66 38 925
Lazaros Mavridis 655 314 18 167 25 1.0k
Atanas Patronov 768 552 22 368 25 1.1k

All Works

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Rankless by CCL
2026