Standout Papers

Gene set enrichment analysis: A knowledge-based approach for interpreting... 1999 2026 2008 2017 32.9k
  1. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles (2005)
    Aravind Subramanian, Pablo Tamayo et al. Proceedings of the National Academy of Sciences
  2. Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring (1999)
    Todd R. Golub, Donna K. Slonim et al. Science
  3. The Molecular Signatures Database Hallmark Gene Set Collection (2015)
    Arthur Liberzon, Chet Birger et al. Cell Systems
  4. Molecular signatures database (MSigDB) 3.0 (2011)
    Arthur Liberzon, Aravind Subramanian et al. Bioinformatics
  5. Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation (1999)
    Pablo Tamayo, Donna K. Slonim et al. Proceedings of the National Academy of Sciences
  6. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning (2002)
    Margaret A. Shipp, Ken N. Ross et al. Nature Medicine
  7. Gene expression correlates of clinical prostate cancer behavior (2002)
    Dinesh Singh, Phillip G. Febbo et al. Cancer Cell
  8. Multiclass cancer diagnosis using tumor gene expression signatures (2001)
    Sridhar Ramaswamy, Pablo Tamayo et al. Proceedings of the National Academy of Sciences
  9. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data (2003)
    Stefano Monti, Pablo Tamayo et al. Machine Learning
  10. Metagenes and molecular pattern discovery using matrix factorization (2004)
    Jean-Philippe Brunet, Pablo Tamayo et al. Proceedings of the National Academy of Sciences
  11. GSEA-P: a desktop application for Gene Set Enrichment Analysis (2007)
    Aravind Subramanian, Kathleen Kuehn et al. Bioinformatics
  12. Expression analysis with oligonucleotide microarrays reveals that MYC regulates genes involved in growth, cell cycle, signaling, and adhesion (2000)
    Hilary A. Coller, Carla Grandori et al. Proceedings of the National Academy of Sciences
  13. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. (2003)
    Catherine L. Nutt, D.R. Mani et al. PubMed
  14. Identification of RPS14 as a 5q- syndrome gene by RNA interference screen (2008)
    Benjamin L. Ebert, Jennifer Pretz et al. Nature
  15. Chemosensitivity prediction by transcriptional profiling (2001)
    Jane Staunton, Donna K. Slonim et al. Proceedings of the National Academy of Sciences
  16. A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitors (2014)
    David J. Konieczkowski, Cory M. Johannessen et al. Cancer Discovery

Immediate Impact

4 by Nobel laureates 52 from Science/Nature 113 standout
Sub-graph 1 of 17

Citing Papers

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2019 StandoutScienceNobel
6 intermediate papers

Works of Pablo Tamayo being referenced

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
2005 Standout
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring
1999 StandoutScience
and 3 more

Author Peers

Author Last Decade Papers Cites
Pablo Tamayo 45648 319 11376 14027 140 69.8k
Jill P. Mesirov 49254 9 11689 14867 128 75.7k
Todd R. Golub 73850 14 18530 27046 227 109.1k
Chris Sander 67938 67 13143 25841 304 90.9k
Patrick O. Brown 82551 35 19771 24176 266 117.1k
Lars Juhl Jensen 47759 13 5318 7950 232 71.9k
Sayan Mukherjee 24281 1 6139 8096 123 40.6k
Matt van de Rijn 22854 2 18943 16067 250 49.3k
Minoru Kanehisa 73697 12 5206 11792 253 109.5k
Gordon K. Smyth 68030 11 13829 20147 333 118.5k
Michael B. Eisen 40932 13 12323 12717 157 59.5k

All Works

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2026