Aimee Tan
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Endocrinology top 5%
Papers in
- Epidemiology 14
- Pneumonia and Respiratory Infections 12
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- Genomics and Phylogenetic Studies 5
- Co-authors
- Kate L. Seib (16 shared papers)Michael P. Jennings (8 shared papers)Evgeny A. Semchenko (1 shared paper)Ray Borrow (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)Clinical Infectious Diseases (2 papers)Scientific Reports (2 papers)Journal of Bacteriology (2 papers)Microbiology Spectrum (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Aimee Tan
34 papers receiving 855 citations
Peers
Comparison fields: 5 of 89
- Microbiology 239
- Endocrinology 111
- Biotechnology 151
- Molecular Medicine 63
- Food Science 225
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 | 128 | |
| 2 | 2004 | 100 | |
| 3 | 2012 | 95 | |
| 4 | 2005 | 77 | |
| 5 | 2018 | 57 | |
| 6 | 2015 | 52 | |
| 7 | 2008 | 36 | |
| 8 | 2016 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2017 | 25 | |
| 12 | 2010 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2018 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2003 | 11 | |
| 20 | 2015 | 11 |
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 875 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Salmonella and Campylobacter epidemiology (6 papers), Bacterial Infections and Vaccines (6 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Phylogenetic Studies (5 papers), Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Microbiology (239 citations), Endocrinology (111 citations), Biotechnology (151 citations), Molecular Medicine (63 citations) and Food Science (225 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, Evgeny A. Semchenko, Ray Borrow, 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, Clinical Infectious Diseases, Scientific Reports, Journal of Bacteriology and Microbiology Spectrum.
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.