Standout Papers

Machine-learning methods for ligand–protein molecular docking 2021 2026 2022 2024186
  1. Machine-learning methods for ligand–protein molecular docking (2021)
    Stéphanie Baud, Luiz Angelo Steffenel et al. Drug Discovery Today

Immediate Impact

2 by Nobel laureates 28 from Science/Nature 60 standout
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Citing Papers

Direct radical functionalization of native sugars
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Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient
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2 intermediate papers

Works of Stéphanie Baud being referenced

Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics
2018
Proline and Glycine Control Protein Self-Organization into Elastomeric or Amyloid Fibrils
2006

Author Peers

Author Last Decade Papers Cites
Stéphanie Baud 749 190 290 293 48 1.4k
Emory H. Braswell 827 77 161 286 50 1.5k
Manuel Dauchez 644 180 195 130 80 1.3k
Nicolas Floquet 877 162 180 88 45 1.3k
Michael Lammers 1292 80 90 435 46 1.9k
Xiong Liu 758 219 106 219 88 1.6k
Lou de Leij 1023 99 194 157 51 1.9k
Bernhard Schlott 1051 305 189 121 61 1.7k
Marianna M. Long 620 145 558 119 45 1.4k
Chikako Sato 1307 115 151 708 80 2.0k
Roger Vassy 818 198 107 181 51 1.5k

All Works

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2026