Andrew R. Leach

179 total papers · 25.6k total citations
85 papers, 14.7k citations indexed

About

Andrew R. Leach is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Andrew R. Leach has authored 85 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computational Theory and Mathematics, 55 papers in Molecular Biology and 19 papers in Spectroscopy. Recurrent topics in Andrew R. Leach's work include Computational Drug Discovery Methods (55 papers), Protein Structure and Dynamics (14 papers) and Chemical Synthesis and Analysis (14 papers). Andrew R. Leach is often cited by papers focused on Computational Drug Discovery Methods (55 papers), Protein Structure and Dynamics (14 papers) and Chemical Synthesis and Analysis (14 papers). Andrew R. Leach collaborates with scholars based in United Kingdom, United States and Germany. Andrew R. Leach's co-authors include Robin Taylor, Peter Willett, Gareth Jones, Robert C. Glen, Michael M. Hann, Valerie J. Gillet, Brian K. Shoichet, Gavin Harper, Anna Gaulton and Catherine E. Peishoff and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Andrew R. Leach

82 papers receiving 14.1k citations

Hit Papers

Development and validatio... 1996 2026 2006 2016 1997 2016 1996 2015 2001 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen
    1997 5.5k citations Gareth Jones, Peter Willett et al. Journal of Molecular Biology profile →
  2. The ChEMBL database in 2017
    2016 1.6k citations Anna Gaulton, Anne Hersey et al. Nucleic Acids Research profile →
  3. Molecular Modelling: Principles and Applications
    1996 1.4k citations Andrew R. Leach Medical Entomology and Zoology profile →
  4. An analysis of the attrition of drug candidates from four major pharmaceutical companies
    2015 945 citations Michael J. Waring, John Arrowsmith et al. Nature Reviews Drug Discovery profile →
  5. Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery
    2001 613 citations Michael M. Hann, Andrew R. Leach et al. Journal of Chemical Information and Computer Sciences profile →
  6. Prediction of Protein−Ligand Interactions. Docking and Scoring:  Successes and Gaps
    2006 504 citations Andrew R. Leach, Brian K. Shoichet et al. Journal of Medicinal Chemistry profile →
  7. The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods
    2023 422 citations Barbara Zdrazil, Eloy Félix et al. Nucleic Acids Research profile →
  8. An open source chemical structure curation pipeline using RDKit
    2020 372 citations A. Patrícia Bento, Anne Hersey et al. Journal of Cheminformatics profile →
  9. Applications of single-cell RNA sequencing in drug discovery and development
    2023 189 citations Bram Van de Sande, Joon Sang Lee et al. Nature Reviews Drug Discovery profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrew R. Leach 9.0k 6.8k 2.6k 2.0k 1.5k 85 14.7k
Christopher W. Murray 8.4k 0.9× 5.9k 0.9× 3.3k 1.2× 1.9k 0.9× 1.4k 0.9× 95 13.6k
John P. Overington 11.7k 1.3× 6.9k 1.0× 1.5k 0.6× 2.4k 1.2× 1.6k 1.0× 97 16.6k
Woody Sherman 10.1k 1.1× 5.5k 0.8× 3.1k 1.2× 1.7k 0.9× 1.5k 1.0× 105 16.6k
Robert C. Glen 8.3k 0.9× 6.0k 0.9× 2.6k 1.0× 1.6k 0.8× 2.0k 1.3× 202 14.6k
Matthias Rarey 7.7k 0.9× 6.4k 0.9× 2.2k 0.8× 2.1k 1.0× 1.4k 0.9× 176 11.7k
John J. Irwin 13.3k 1.5× 11.2k 1.6× 2.8k 1.1× 2.7k 1.3× 2.6k 1.7× 87 20.0k
Anne Hersey 6.6k 0.7× 6.3k 0.9× 1.8k 0.7× 1.6k 0.8× 1.3k 0.9× 49 11.6k
Robert Abel 11.2k 1.2× 4.2k 0.6× 2.3k 0.9× 2.9k 1.4× 917 0.6× 73 15.9k
Andrew L. Hopkins 9.1k 1.0× 4.9k 0.7× 1.9k 0.7× 796 0.4× 1.4k 0.9× 63 14.1k
Tudor I. Oprea 9.4k 1.0× 6.6k 1.0× 2.3k 0.9× 1.2k 0.6× 1.9k 1.3× 244 18.5k

Countries citing papers authored by Andrew R. Leach

Since Specialization
Citations

This map shows the geographic impact of Andrew R. Leach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew R. Leach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew R. Leach more than expected).

Fields of papers citing papers by Andrew R. Leach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew R. Leach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew R. Leach. The network helps show where Andrew R. Leach may publish in the future.

Co-authorship network of co-authors of Andrew R. Leach

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Leach. A scholar is included among the top collaborators of Andrew R. Leach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew R. Leach. Andrew R. Leach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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