John Westbrook

22.0k total citations · 4 hit papers
103 papers, 9.6k citations indexed

About

John Westbrook is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, John Westbrook has authored 103 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 49 papers in Materials Chemistry and 13 papers in Spectroscopy. Recurrent topics in John Westbrook's work include Enzyme Structure and Function (43 papers), Protein Structure and Dynamics (38 papers) and Genetics, Bioinformatics, and Biomedical Research (17 papers). John Westbrook is often cited by papers focused on Enzyme Structure and Function (43 papers), Protein Structure and Dynamics (38 papers) and Genetics, Bioinformatics, and Biomedical Research (17 papers). John Westbrook collaborates with scholars based in United States, United Kingdom and Germany. John Westbrook's co-authors include Helen M. Berman, Philip E. Bourne, Zukang Feng, Christine Zardecki, Bohdan Schneider, Wolfgang F. Bluhm, Talapady N. Bhat, Gary L. Gilliland, Helge Weissig and Jasmine Young and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Bioinformatics.

In The Last Decade

John Westbrook

101 papers receiving 9.4k citations

Hit Papers

The Protein Data Bank 1992 2026 2003 2014 2002 1992 2010 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Westbrook United States 39 7.0k 2.3k 1.4k 791 616 103 9.6k
John L. Klepeis United States 24 7.0k 1.0× 1.9k 0.8× 1.8k 1.3× 970 1.2× 819 1.3× 33 10.6k
Michael P. Eastwood United States 27 6.2k 0.9× 1.8k 0.8× 1.4k 1.0× 802 1.0× 888 1.4× 42 8.8k
Viktor Horn̆ák United States 29 6.7k 1.0× 1.8k 0.8× 1.1k 0.8× 651 0.8× 964 1.6× 48 8.6k
Jason Swails United States 15 7.2k 1.0× 1.5k 0.6× 1.6k 1.1× 989 1.3× 717 1.2× 19 10.3k
Lauren Wickstrom United States 17 6.3k 0.9× 1.3k 0.6× 1.3k 0.9× 817 1.0× 617 1.0× 23 8.8k
Bruce Tidor United States 52 6.6k 0.9× 1.8k 0.8× 828 0.6× 538 0.7× 907 1.5× 130 9.0k
Nikolay V. Dokholyan United States 66 10.3k 1.5× 2.4k 1.0× 1.1k 0.8× 495 0.6× 636 1.0× 370 14.7k
Olgun Guvench United States 28 5.7k 0.8× 1.6k 0.7× 1.2k 0.9× 1.4k 1.8× 764 1.2× 53 9.4k
Jie Liang United States 38 6.3k 0.9× 1.6k 0.7× 1.3k 1.0× 464 0.6× 405 0.7× 186 8.7k
Philippe Derreumaux France 56 7.8k 1.1× 1.6k 0.7× 1.4k 1.0× 336 0.4× 723 1.2× 223 10.2k

Countries citing papers authored by John Westbrook

Since Specialization
Citations

This map shows the geographic impact of John Westbrook'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 John Westbrook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Westbrook more than expected).

Fields of papers citing papers by John Westbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Westbrook. 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 John Westbrook. The network helps show where John Westbrook may publish in the future.

Co-authorship network of co-authors of John Westbrook

This figure shows the co-authorship network connecting the top 25 collaborators of John Westbrook. A scholar is included among the top collaborators of John Westbrook 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 John Westbrook. John Westbrook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Choudhary, Preeti, Zukang Feng, John M. Berrisford, et al.. (2024). PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank. Database. 2024. 6 indexed citations
2.
Feng, Zukang, John Westbrook, Raul Sala, et al.. (2021). Enhanced validation of small-molecule ligands and carbohydrates in the Protein Data Bank. Structure. 29(4). 393–400.e1. 21 indexed citations
3.
Vallat, Brinda, Benjamin Webb, Hongsuda Tangmunarunkit, et al.. (2021). New system for archiving integrative structures. Acta Crystallographica Section D Structural Biology. 77(12). 1486–1496. 25 indexed citations
4.
Lin, Dawei, Jonathan Crabtree, Ingrid Dillo, et al.. (2020). The TRUST Principles for digital repositories. Scientific Data. 7(1). 144–144. 189 indexed citations breakdown →
5.
Segura, Joan, Yana Rose, John Westbrook, S.K. Burley, & José M. Duarte. (2020). RCSB Protein Data Bank 1D tools and services. Bioinformatics. 36(22-23). 5526–5527. 19 indexed citations
6.
Westbrook, John, et al.. (2020). Impact of the Protein Data Bank on antineoplastic approvals. Drug Discovery Today. 25(5). 837–850. 20 indexed citations
7.
Goodsell, David S., Christine Zardecki, Luigi Di Costanzo, et al.. (2019). RCSB Protein Data Bank: Enabling biomedical research and drug discovery. Protein Science. 29(1). 52–65. 233 indexed citations
8.
Laurel, Haak, et al.. (2019). Recommendations for Supporting ORCID in Repositories. Figshare.
9.
Fong, Carlton J., et al.. (2015). Behavioral, Psychological, Educational, and Vocational Interventions to Facilitate Employment Outcomes for Cancer Survivors: A Systematic Review. Campbell Systematic Reviews. 11(1). 1–81. 10 indexed citations
11.
Trewhella, Jill, Wayne A. Hendrickson, Gerard J. Kleywegt, et al.. (2013). Report of the wwPDB Small-Angle Scattering Task Force: Data Requirements for Biomolecular Modeling and the PDB. Structure. 21(6). 875–881. 60 indexed citations
12.
Berman, Helen M., John Westbrook, Andrei Kouranov, et al.. (2008). The protein structure initiative structural genomics knowledgebase. Nucleic Acids Research. 37(Database). D365–D368. 80 indexed citations
13.
Berman, Helen M. & John Westbrook. (2004). The Impact of Structural Genomics on the Protein Data Bank. PubMed. 4(4). 247–252. 24 indexed citations
14.
Berman, Helen M., Talapady N. Bhat, Wolfgang F. Bluhm, et al.. (2002). The Protein Data Bank (PDB) | NIST. Acta Crystallographica Section D Biological Crystallography. 58. 4 indexed citations
15.
Feng, Zukang, et al.. (2002). Data annotation, processing methods, and tools at the PDB and NDB. Acta Crystallographica Section A Foundations of Crystallography. 58(s1). c214–c214. 1 indexed citations
16.
Westbrook, John. (2002). The Protein Data Bank: unifying the archive. Nucleic Acids Research. 30(1). 245–248. 229 indexed citations
17.
Gendron, Patrick, Russ B. Altman, James W. Brown, et al.. (2002). RNAML: A standard syntax for exchanging RNA information. RNA. 8(6). 707–717. 76 indexed citations
18.
Bhat, Talapady N., Philip E. Bourne, Zukang Feng, et al.. (2001). The PDB Data Uniformity Project | NIST. Nucleic Acids Research. 29(1). 1 indexed citations
19.
Berman, Helen M., Anke Gelbin, & John Westbrook. (1996). Nucleic acid crystallography: A view from the nucleic acid database. Progress in Biophysics and Molecular Biology. 66(3). 255–288. 20 indexed citations
20.
Berman, Helen M., Wilma K. Olson, D. L. Beveridge, et al.. (1992). The nucleic acid database. A comprehensive relational database of three-dimensional structures of nucleic acids. Biophysical Journal. 63(3). 751–759. 800 indexed citations breakdown →

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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