Aimee Tan
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Endocrinology top 5%
Papers in
- Epidemiology 13
- Pneumonia and Respiratory Infections 11
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- Genomics and Phylogenetic Studies 5
- Co-authors
- Kate L. Seib (16 shared papers)Michael P. Jennings (8 shared papers)Ray Borrow (1 shared paper)Evgeny A. Semchenko (1 shared paper)John M. Atack (7 shared papers)Lauren O. Bakaletz (4 shared papers)Luke V. Blakeway (8 shared papers)Martyn Kirk (3 shared papers)
- Journals
- Epidemiology and Infection (3 papers)Journal of Bacteriology (2 papers)Clinical Infectious Diseases (2 papers)Microbiology Spectrum (2 papers)Scientific Reports (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Aimee Tan
34 papers receiving 934 citations
Peers
Comparison fields: 5 of 89
- Microbiology 242
- Endocrinology 119
- Biotechnology 174
- Food Science 248
- Molecular Medicine 59
Countries citing papers authored by Aimee Tan
This map shows the geographic impact of Aimee Tan'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 Aimee Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimee Tan more than expected).
Fields of papers citing papers by Aimee Tan
This network shows the impact of papers produced by Aimee Tan. 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 Aimee Tan. The network helps show where Aimee Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Aimee Tan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2004 | 114 | |
| 3 | 2012 | 107 | |
| 4 | 2005 | 88 | |
| 5 | 2018 | 58 | |
| 6 | 2015 | 55 | |
| 7 | 2008 | 37 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2017 | 33 | |
| 11 | 2022 | 27 | |
| 12 | 2017 | 25 | |
| 13 | 2022 | 24 | |
| 14 | 2010 | 24 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2003 | 14 | |
| 19 | 2003 | 13 | |
| 20 | 2021 | 12 |
About Aimee Tan
Aimee Tan is a scholar working on Epidemiology, Molecular Biology, Microbiology, Food Science and Molecular Medicine, having authored 35 papers that have together received 961 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Bacterial Infections and Vaccines (6 papers), Trace Elements in Health (5 papers), Antibiotic Resistance in Bacteria (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Escherichia coli research studies (5 papers), Genomics and Phylogenetic Studies (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Microbiology (242 citations), Endocrinology (119 citations), Biotechnology (174 citations), Food Science (248 citations) and Molecular Medicine (59 citations). Aimee Tan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kate L. Seib, Michael P. Jennings, Ray Borrow, Evgeny A. Semchenko, John M. Atack, Lauren O. Bakaletz, Luke V. Blakeway, Martyn Kirk, C.L. Little and Ian R. Peak. Their work appears in journals such as Epidemiology and Infection, Journal of Bacteriology, Clinical Infectious Diseases, Microbiology Spectrum and Scientific Reports.
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.