Standout Papers

AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority patho... 2022 2026 2023 2024115
  1. AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens (2022)
    Chenkai Li, S. Austin Hammond et al. BMC Genomics

Immediate Impact

2 from Science/Nature 53 standout
Sub-graph 1 of 19

Citing Papers

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
2025 Standout
Mass-spectrometry-based proteomics: from single cells to clinical applications
2025 StandoutNature
1 intermediate paper

Works of Chenkai Li being referenced

Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage
2022
AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens
2022 Standout

Author Peers

Author Last Decade Papers Cites
Chenkai Li 148 122 16 22 16 223
Samilla B. Rezende 224 237 23 13 280
Katarina Vielfort 184 59 19 13 296
Vijayaraghava Seshadri Sundararajan 225 79 13 13 284
Antian Wang 81 37 3 15 234
Yang Wu 140 28 9 12 225
Lisa McWilliams 98 9 4 9 10 180
Ying Zhang 108 29 23 23 181
Patrick Brendan Timmons 241 165 9 11 273
Cláudia Brito 161 18 25 13 290
Yu Liu 103 12 11 23 258

All Works

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2026