Standout Papers

Using Bayesian Networks to Analyze Expression Data 2000 2026 2008 2017 1.8k
  1. Using Bayesian Networks to Analyze Expression Data (2000)
    Nir Friedman, Michal Linial et al. Journal of Computational Biology
  2. ProteinBERT: a universal deep-learning model of protein sequence and function (2022)
    Nadav Brandes, Dan Ofer et al. Bioinformatics
  3. The language of proteins: NLP, machine learning & protein sequences (2021)
    Dan Ofer, Nadav Brandes et al. Computational and Structural Biotechnology Journal

Immediate Impact

38 by Nobel laureates 57 from Science/Nature 72 standout
Sub-graph 1 of 18

Citing Papers

Rapid in silico directed evolution by a protein language model with EVOLVEpro
2024 StandoutScience
Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebrates
2020 Standout
3 intermediate papers

Works of Michal Linial being referenced

ProteinBERT: a universal deep-learning model of protein sequence and function
2022 Standout
The SARS-CoV-2 Exerts a Distinctive Strategy for Interacting with the ACE2 Human Receptor
2020
and 1 more

Author Peers

Author Last Decade Papers Cites
Michal Linial 6239 1205 801 858 223 9.1k
Olivier Poch 7327 1624 382 569 169 10.4k
William R. Taylor 9395 1522 567 508 151 13.6k
Jean‐Christophe Olivo‐Marín 4049 540 1285 855 177 9.8k
Zoran Obradović 14030 1211 1671 530 204 18.1k
Roland L. Dunbrack 13202 788 1084 601 158 16.2k
Yoshihide Hayashizaki 8830 1742 1018 404 244 13.1k
Bonnie Berger 8574 2372 867 332 238 13.6k
Charles DeLisi 7822 793 445 260 238 10.9k
Temple F. Smith 11558 2110 913 389 146 15.1k
David E. Golan 7199 1762 1180 494 139 12.7k

All Works

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Rankless by CCL
2026