John P. Overington

Active 1988–2021

84
Papers
29,525
Citations
53
h-index
79
i10-index

Citations

Citations per year for John P. Overington1911: 1 citations1959: 1 citations1967: 1 citations1973: 1 citations1975: 1 citations1988: 2 citations1989: 6 citations1990: 26 citations1991: 17 citations1992: 21 citations1993: 37 citations1994: 83 citations1995: 57 citations1996: 30 citations1997: 36 citations1998: 37 citations1999: 32 citations2000: 50 citations2001: 62 citations2002: 40 citations2003: 65 citations2004: 64 citations2005: 67 citations2006: 71 citations2007: 103 citations2008: 126 citations2009: 147 citations2010: 168 citations2011: 229 citations2012: 308 citations2013: 398 citations2014: 410 citations2015: 526 citations2016: 581 citations2017: 633 citations2018: 698 citations2019: 1,301 citations2020: 1,329 citations2021: 1,268 citations2022: 1,023 citations2023: 922 citations2024: 1,150 citations2025: 639 citations2026: 111 citations1912–1958: no citations, so these years are not shown1960–1966: no citations, so these years are not shown1968–1972: no citations, so these years are not shown1974: no citations, so this year is not shown1976–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,705 citing papers, 20.8% of this breakdownUnited Kingdom: 1,851 citing papers, 10.4% of this breakdownChina: 1,797 citing papers, 10.1% of this breakdownGermany: 1,252 citing papers, 7% of this breakdownIndia: 595 citing papers, 3.3% of this breakdownSwitzerland: 573 citing papers, 3.2% of this breakdownFrance: 541 citing papers, 3% of this breakdownCanada: 477 citing papers, 2.7% of this breakdownItaly: 455 citing papers, 2.5% of this breakdownSpain: 425 citing papers, 2.4% of this breakdownNetherlands: 413 citing papers, 2.3% of this breakdownSweden: 398 citing papers, 2.2% of this breakdown
0%20.8%Other 30.1%

Fields

  • Computer Science38.5%
  • Biochemistry, Genetics and Molecular Biology34.2%
  • Medicine13.1%
  • Immunology and Microbiology2.8%
  • Materials Science2.5%
  • Chemistry2.4%
  • Other6.5%

Topics

  • Computational Drug Discovery Methods16.5%
  • Protein Structure and Dynamics4.8%
  • Bioinformatics and Genomic Networks4.4%
  • Machine Learning in Materials Science3.4%
  • Receptor Mechanisms and Signaling2.6%
  • Metabolomics and Mass Spectrometry Studies2.1%
  • Other66.2%

Coauthors

All papers

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  1. ChEMBL: a large-scale bioactivity database for drug discovery

    Authors: , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2011 cited by 4,451

  2. A comprehensive map of molecular drug targets

    Authors: , , , , , , , , , , - Nature Reviews Drug Discovery 2016 cited by 2,455

  3. The ChEMBL database in 2017

    Authors: , , , , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 2,414

  4. An atlas of genetic influences on human blood metabolites

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , M. Julia Brosnan, Christian Gieger, Gabi Kastenmüller, Tim D. Spector, Nicole Soranzo - Nature Genetics 2014 cited by 1,645

  5. ChEMBL web services: streamlining access to drug discovery data and utilities

    Authors: , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2015 cited by 789

  6. How many drug targets are there?

    Authors: , , - Nature Reviews Drug Discovery 2006 cited by 3,500

  7. The ChEMBL bioactivity database: an update

    Authors: , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2013 cited by 1,548

  8. The promise and peril of chemical probes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Derek Lowe, Mary M. Mader, Brian D. Marsden, Anke Mueller‐Fahrnow, Susanne Müller, Rónán C. O’Hagan, John P. Overington, Dafydd R. Owen, Saul H. Rosenberg, Ruth A. Ross, Bryan L. Roth, Matthieu Schapira, Stuart L. Schreiber, Brian K. Shoichet, M. Sundström, Giulio Superti-Furga, Jack Taunton, Leticia Toledo‐Sherman, Chris Walpole, Michael A. Walters, Timothy M. Willson, Paul Workman, Robert N. Young, William J. Zuercher - Nature Chemical Biology 2015 cited by 850

  9. SureChEMBL: a large-scale, chemically annotated patent document database

    Authors: , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2015 cited by 241

  10. Unexplored therapeutic opportunities in the human genome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anton Simeonov, Larry A. Sklar, Noel Southall, Susumu Tomita, Ilinca Tudose, Oleg Ursu, D. Vidović, Anna Waller, David Westergaard, Jeremy J. Yang, Gergely Zahoránszky-Köhalmi - Nature Reviews Drug Discovery 2018 cited by 385

  11. Probing the links between in vitro potency, ADMET and physicochemical parameters

    Authors: , , , - Nature Reviews Drug Discovery 2011 cited by 498

  12. Pharos: Collating protein information to shed light on the druggable genome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2016 cited by 318

  13. Improving the odds of drug development success through human genomics: modelling study

    Authors: , , , , , , , , , , , , - Scientific Reports 2019 cited by 272

  14. Erratum: Unexplored therapeutic opportunities in the human genome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anton Simeonov, Larry A. Sklar, Noel Southall, Susumu Tomita, Ilinca Tudose, Oleg Ursu, D. Vidović, Anna Waller, David Westergaard, Jeremy J. Yang, Gergely Zahoránszky-Köhalmi - Nature Reviews Drug Discovery 2018 cited by 323

  15. Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel

    Authors: , , , , , , - Bioinformatics, Bioinform. 2015 cited by 135

  16. UniChem: a unified chemical structure cross-referencing and identifier tracking system

    Authors: , , , , , , , , , - Journal of Cheminformatics, J. Cheminformatics 2013 cited by 182

  17. Activity, assay and target data curation and quality in the ChEMBL database

    Authors: , , , - Journal of Computer-Aided Molecular Design, J. Comput. Aided Mol. Des. 2015 cited by 177

  18. Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Cell chemical biology 2017 cited by 171

  19. The druggable genome and support for target identification and validation in drug development

    Authors: , , , , , , , , , , , , - Science Translational Medicine 2016 cited by 1,030

  20. Comprehensive characterization of the Published Kinase Inhibitor Set

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Biotechnology 2015 cited by 350

  21. PCSK9 monoclonal antibodies for the primary and secondary prevention of cardiovascular disease

    Authors: , , , , , , - Cochrane Database of Systematic Reviews 2020 cited by 126

  22. Can we rationally design promiscuous drugs?

    Authors: , , - Current Opinion in Structural Biology 2006 cited by 468

  23. Computational and Practical Aspects of Drug Repositioning

    Authors: , - Assay and Drug Development Technologies 2015 cited by 113

  24. Repurposing Vandetanib plus Everolimus for the Treatment of ACVR1 -Mutant Diffuse Intrinsic Pontine Glioma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cancer Discovery 2021 cited by 49