James E. Bray
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Molecular Medicine top 2%
Papers in
-
- Genomics and Phylogenetic Studies 13
- Protein Structure and Dynamics 8
- Machine Learning in Bioinformatics 6
- Microbiology 18
- Bacterial Infections and Vaccines 16
- Co-authors
- Martin Maiden (34 shared papers)Keith A. Jolley (30 shared papers)Noel McCarthy (3 shared papers)Christine Orengo (11 shared papers)Melissa J. Jansen van Rensburg (5 shared papers)Udo Oppermann (6 shared papers)Sarah G. Earle (1 shared paper)Suzanne A. Ford (1 shared paper)
- Journals
- Microbial Genomics (5 papers)Journal of Clinical Microbiology (3 papers)Frontiers in Microbiology (3 papers)Chemico-Biological Interactions (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
James E. Bray
62 papers receiving 3.2k citations
James E. Bray's Hit Papers
Peers
Comparison fields: 5 of 130
- Microbiology 351
- Molecular Medicine 201
- Endocrinology 178
- Molecular Biology 1.9k
- Food Science 371
Countries citing papers authored by James E. Bray
This map shows the geographic impact of James E. Bray'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 James E. Bray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Bray more than expected).
Fields of papers citing papers by James E. Bray
This network shows the impact of papers produced by James E. Bray. 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 James E. Bray. The network helps show where James E. Bray may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Bray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MLST revisited: the gene-by-gene approach to bacterial genomics Hit paper breakdown → | 2013 | 530 |
| 2 | 2008 | 335 | |
| 3 | 2007 | 278 | |
| 4 | 2010 | 245 | |
| 5 | 1984 | 155 | |
| 6 | 1999 | 147 | |
| 7 | 2011 | 147 | |
| 8 | 1999 | 105 | |
| 9 | 2017 | 101 | |
| 10 | 2008 | 83 | |
| 11 | 1999 | 78 | |
| 12 | 2002 | 77 | |
| 13 | 2000 | 53 | |
| 14 | 2015 | 51 | |
| 15 | 2015 | 50 | |
| 16 | 2014 | 48 | |
| 17 | 2017 | 45 | |
| 18 | 2017 | 45 | |
| 19 | 2002 | 44 | |
| 20 | 2005 | 38 |
About James E. Bray
James E. Bray is a scholar working on Molecular Biology, Microbiology, Epidemiology, Materials Chemistry and Food Science, having authored 66 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (16 papers), Pneumonia and Respiratory Infections (13 papers), Genomics and Phylogenetic Studies (13 papers), Enzyme Structure and Function (9 papers), Protein Structure and Dynamics (8 papers), Antibiotic Resistance in Bacteria (7 papers), Machine Learning in Bioinformatics (6 papers) and Infective Endocarditis Diagnosis and Management (6 papers). The work is most often cited by research in Microbiology (351 citations), Molecular Medicine (201 citations), Endocrinology (178 citations), Molecular Biology (1.9k citations) and Food Science (371 citations). James E. Bray has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Martin Maiden, Keith A. Jolley, Noel McCarthy, Christine Orengo, Melissa J. Jansen van Rensburg, Udo Oppermann, Sarah G. Earle, Suzanne A. Ford, Janet M. Thornton and Brian D. Marsden. Their work appears in journals such as Microbial Genomics, Journal of Clinical Microbiology, Frontiers in Microbiology, Chemico-Biological Interactions and PLoS ONE.
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.