Phil Bradley
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 2
- Advanced biosensing and bioanalysis techniques 1
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- David Baker (2 shared papers)Kira M.S. Misura (1 shared paper)Chu Wang (1 shared paper)Ora Schueler‐Furman (1 shared paper)Frank DiMaio (1 shared paper)Andrew Leaver‐Fay (1 shared paper)Ingemar André (1 shared paper)Bonnie Berger (4 shared papers)
- Journals
- Nucleic Acids Research (1 paper)Journal of Computational Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Science (1 paper)
- Partner nations
- United StatesSwedenSouth Africa
In The Last Decade
Phil Bradley
8 papers receiving 527 citations
Peers
Comparison fields: 5 of 85
- Structural Biology 10
- Molecular Biology 429
- Materials Chemistry 163
- Ecology 76
- Microbiology 14
Countries citing papers authored by Phil Bradley
This map shows the geographic impact of Phil 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 Phil Bradley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Bradley more than expected).
Fields of papers citing papers by Phil Bradley
This network shows the impact of papers produced by Phil 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 Phil Bradley. The network helps show where Phil Bradley may publish in the future.
Co-authors
The 24 scholars most cited alongside Phil Bradley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 224 | |
| 2 | 2011 | 161 | |
| 3 | 2001 | 94 | |
| 4 | 2002 | 32 | |
| 5 | 2001 | 7 | |
| 6 | 2002 | 6 | |
| 7 | 2018 | 4 | |
| 8 | 2019 | 2 |
About Phil Bradley
Phil Bradley is a scholar working on Molecular Biology, Ecology, Materials Chemistry, Genetics and Immunology, having authored 8 papers that have together received 530 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers), Enzyme Structure and Function (2 papers), Bacteriophages and microbial interactions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Structural Biology (10 citations), Molecular Biology (429 citations), Materials Chemistry (163 citations), Ecology (76 citations) and Microbiology (14 citations). Phil Bradley has collaborated with scholars based in United States, Sweden and South Africa. Frequent co-authors include David Baker, Kira M.S. Misura, Chu Wang, Ora Schueler‐Furman, Frank DiMaio, Andrew Leaver‐Fay, Ingemar André, Bonnie Berger, Matthew Menke and Lenore Cowen. Their work appears in journals such as Nucleic Acids Research, Journal of Computational Biology, Proceedings of the National Academy of Sciences, PLoS ONE and Science.
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.