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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- Antibiotic Resistance in Bacteria 10
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- Antimicrobial Resistance in Staphylococcus 5
- 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)Garry S. A. Myers (2 shared papers)Mark S. Thomas (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Microbial Genomics (3 papers)Frontiers in Microbiology (2 papers)mSphere (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Bryan A. Wee
32 papers receiving 733 citations
Peers
Comparison fields: 5 of 88
- Endocrinology 160
- Molecular Medicine 143
- Applied Microbiology and Biotechnology 45
- Microbiology 121
- Immunology 178
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2010 | 96 | |
| 3 | 2013 | 79 | |
| 4 | 2018 | 54 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 49 | |
| 7 | 2010 | 36 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 24 | |
| 10 | 2013 | 22 | |
| 11 | 2017 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 8 |
About Bryan A. Wee
Bryan A. Wee is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Microbiology and Epidemiology, having authored 32 papers that have together received 741 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Bacterial biofilms and quorum sensing (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Reproductive tract infections research (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Legionella and Acanthamoeba research (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Endocrinology (160 citations), Molecular Medicine (143 citations), Applied Microbiology and Biotechnology (45 citations), Microbiology (121 citations) and Immunology (178 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, Garry S. A. Myers, Mark S. Thomas, Peter Timms and Emma L. Sweeney. Their work appears in journals such as Journal of Bacteriology, Microbial Genomics, Frontiers in Microbiology, mSphere and PLoS Pathogens.
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.