Bryan A. Wee
Impact in
- Endocrinology top 5%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antimicrobial Resistance in Staphylococcus 5
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- Gut microbiota and health 3
- Co-authors
- Scott A. Beatson (7 shared papers)Bram van Bunnik (4 shared papers)J. Ross Fitzgerald (10 shared papers)Dishon Muloi (1 shared paper)Wilhelmina M. Huston (5 shared papers)Nicola K. Petty (2 shared papers)Peter Timms (4 shared papers)Mark S. Thomas (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Microbial Genomics (3 papers)PLoS ONE (2 papers)mSphere (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Bryan A. Wee
32 papers receiving 790 citations
Peers
Comparison fields: 5 of 87
- Endocrinology 164
- Molecular Medicine 125
- Applied Microbiology and Biotechnology 42
- Microbiology 115
- Immunology 170
Countries citing papers authored by Bryan A. Wee
This map shows the geographic impact of Bryan A. Wee'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 Bryan A. Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan A. Wee more than expected).
Fields of papers citing papers by Bryan A. Wee
This network shows the impact of papers produced by Bryan A. Wee. 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 Bryan A. Wee. The network helps show where Bryan A. Wee may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan A. Wee, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2010 | 100 | |
| 3 | 2013 | 80 | |
| 4 | 2018 | 59 | |
| 5 | 2020 | 57 | |
| 6 | 2021 | 54 | |
| 7 | 2010 | 40 | |
| 8 | 2017 | 36 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2013 | 22 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 9 |
About Bryan A. Wee
Bryan A. Wee is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Microbiology and Endocrinology, having authored 33 papers that have together received 803 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Reproductive tract infections research (5 papers), Vibrio bacteria research studies (4 papers), Legionella and Acanthamoeba research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Gut microbiota and health (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Endocrinology (164 citations), Molecular Medicine (125 citations), Applied Microbiology and Biotechnology (42 citations), Microbiology (115 citations) and Immunology (170 citations). Bryan A. Wee has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Scott A. Beatson, Bram van Bunnik, J. Ross Fitzgerald, Dishon Muloi, Wilhelmina M. Huston, Nicola K. Petty, Peter Timms, Mark S. Thomas, Garry S. A. Myers and Jacques Ravel. Their work appears in journals such as Journal of Bacteriology, Microbial Genomics, PLoS ONE, mSphere and Frontiers in Microbiology.
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.