Standout Papers

Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations 2021 2026 2022 2024349
  1. Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations (2021)
    Wei Zheng, Chengxin Zhang et al. Cell Reports Methods
  2. I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction (2022)
    Xiaogen Zhou, Wei Zheng et al. Nature Protocols

Immediate Impact

24 by Nobel laureates 17 from Science/Nature 65 standout
Sub-graph 1 of 21

Citing Papers

Automated model building and protein identification in cryo-EM maps
2024 StandoutNature
De novo protein design—From new structures to programmable functions
2024 Standout
4 intermediate papers

Works of Robin Pearce being referenced

A New Protocol for Atomic-Level Protein Structure Modeling and Refinement Using Low-to-Medium Resolution Cryo-EM Density Maps
2020
Deep‐learning contact‐map guided protein structure prediction in CASP13
2019
and 6 more

Author Peers

Author Last Decade Papers Cites
Robin Pearce 1251 316 206 28 1.7k
Lukáš Pravda 1252 247 193 22 1.8k
José Ramón López‐Blanco 1503 265 199 25 1.9k
Karim M. ElSawy 1201 205 170 24 1.6k
T.A. Binkowski 1340 287 192 22 1.9k
Eric W. Bell 877 168 238 14 1.4k
Jean Richelle 1266 508 138 17 1.7k
Jiahua He 1123 143 233 27 1.7k
J. Mack 1073 192 194 22 1.4k
Lucy Stols 1284 307 298 22 1.8k
Jean-François Gibrat 1615 364 84 31 2.0k

All Works

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Rankless by CCL
2026