Bryan A. Wee
Impact in
- Endocrinology top 2%
- Legionella and Acanthamoeba research
- Escherichia coli research studies
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- Antibiotic Use and Resistance
Papers in
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- Legionella and Acanthamoeba research 4
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- Reproductive tract infections research 5
- Co-authors
- Bram A. D. van Bunnik (4 shared papers)Scott A. Beatson (7 shared papers)Dishon M. Muloi (1 shared paper)J. Ross Fitzgerald (10 shared papers)Nicola K. Petty (2 shared papers)Wilhelmina May Huston (5 shared papers)Garry S. A. Myers (2 shared papers)Emma Louise Sweeney (1 shared paper)
- Journals
- Microbial Genomics (4 papers)Journal of Bacteriology (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
35 papers receiving 953 citations
Peers
Comparison fields: 5 of 65
- Endocrinology 184
- Applied Microbiology and Biotechnology 69
- Molecular Medicine 152
- Microbiology 126
- Insect Science 73
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 132 | |
| 2 | 2010 | 98 | |
| 3 | 2013 | 84 | |
| 4 | 2022 | 68 | |
| 5 | 2020 | 65 | |
| 6 | 2018 | 61 | |
| 7 | 2021 | 59 | |
| 8 | 2010 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2017 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2017 | 23 | |
| 13 | 2023 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 15 |
About Bryan A. Wee
Bryan A. Wee is a scholar working on Endocrinology, Microbiology, Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 36 papers that have together received 972 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Reproductive tract infections research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Cystic Fibrosis Research Advances (4 papers), Legionella and Acanthamoeba research (4 papers), Antibiotic Use and Resistance (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Endocrinology (184 citations), Applied Microbiology and Biotechnology (69 citations), Molecular Medicine (152 citations), Microbiology (126 citations) and Insect Science (73 citations). Bryan A. Wee has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Bram A. D. van Bunnik, Scott A. Beatson, Dishon M. Muloi, J. Ross Fitzgerald, Nicola K. Petty, Wilhelmina May Huston, Garry S. A. Myers, Emma Louise Sweeney, JOHN A. B. ALLAN and Francesca D. Frentiu. Their work appears in journals such as Microbial Genomics, Journal of Bacteriology, 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.