A.R. Bradley

3.3k citations
29 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

A.R. Bradley

28 papers receiving 1.3k citations

Hit Papers

NGL viewer: web-based molecular graphics for large complexes 2018 · 370 citations
3700+2+5Years since publication100200300

Peers

A.R. Bradley
Comparison fields: 5 of 122
  • Computational Theory and Mathematics 512
  • Molecular Biology 968
  • Structural Biology 19
  • Materials Chemistry 415
  • Biophysics 35
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A.R. Bradley relative to José M. Duarte United States José M. Duarte's profile →
Citations per field
00.5×1.5×
José M. Duarte · 1×
Citations per year

Countries citing papers authored by A.R. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Bradley. 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 A.R. Bradley. The network helps show where A.R. Bradley may publish in the future.

Co-authors

The 25 scholars most cited alongside A.R. Bradley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A.R. Bradley Line = papers co-authored together A.R. Bradley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NGL viewer: web-based molecular graphics for large complexes
Hit paper breakdown →
2018370
2 2017175
3 2020161
4 2015100
5 201894
6 202163
7 201658
8 202149
9 200449
10 201730
11 201929
12 202328
13 201720
14 202015
15 201712
16 201712
17 202211
18 20157
19 20227
20 20147

About A.R. Bradley

A.R. Bradley is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Pharmacology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (11 papers), Machine Learning in Materials Science (5 papers), Protein Degradation and Inhibitors (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Click Chemistry and Applications (3 papers), Enzyme Structure and Function (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (512 citations), Molecular Biology (968 citations), Structural Biology (19 citations), Materials Chemistry (415 citations) and Biophysics (35 citations). A.R. Bradley has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Charlotte M. Deane, Fergus Imrie, José M. Duarte, Peter W. Rose, Andreas Prlić, Yana Valasatava, Alexander Rose, Mihaela van der Schaar, Brian D. Marsden and F. von Delft. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Chemical Science, PLoS Computational Biology and Acta Crystallographica Section D Structural Biology.

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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