Standout Papers

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data 1995 2026 2005 2015 1.6k
  1. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (1995)
    David Heckerman, Dan Geiger et al. Machine Learning
  2. Efficient Control of Population Structure in Model Organism Association Mapping (2008)
    Hyun Min Kang, Noah Zaitlen et al. Genetics
  3. Learning Bayesian networks: The combination of knowledge and statistical data (1995)
    David Heckerman, Dan Geiger et al. Machine Learning
  4. FaST linear mixed models for genome-wide association studies (2011)
    Christoph Lippert, Jennifer Listgarten et al. Nature Methods

Immediate Impact

9 by Nobel laureates 12 from Science/Nature 76 standout
Sub-graph 1 of 17

Citing Papers

Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Peptide-binding specificity prediction using fine-tuned protein structure prediction networks
2023 StandoutNobel
2 intermediate papers

Works of David Heckerman being referenced

FaST linear mixed models for genome-wide association studies
2011 Standout
Broad and Gag-Biased HIV-1 Epitope Repertoires Are Associated with Lower Viral Loads
2008

Author Peers

Author Last Decade Papers Cites
David Heckerman 4701 2504 2895 185 13.6k
Thomas Lengauer 1142 1716 12928 339 23.5k
Terence P. Speed 1801 296 18922 364 32.9k
Temple F. Smith 1772 235 11558 146 15.1k
Chul‐Su Yang 2169 115 2933 196 10.9k
Anders Krogh 2615 196 19212 125 31.5k
Jeremy M. G. Taylor 1522 1287 5023 393 21.2k
Xingquan Zhu 3888 347 861 333 12.2k
David Haussler 6647 137 24130 260 37.6k
Daphne Koller 5486 57 7456 149 17.9k
Kazuyuki Aihara 3772 246 3519 683 15.0k

All Works

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2026