Aimee Tan
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Endocrinology top 5%
Papers in
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- Bacterial Infections and Vaccines 6
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- Antibiotic Resistance in Bacteria 6
- Co-authors
- Kate L. Seib (16 shared papers)Ray Borrow (1 shared paper)Evgeny A. Semchenko (1 shared paper)Michael P. Jennings (8 shared papers)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)Microbiology Spectrum (2 papers)Journal of Bacteriology (2 papers)Scientific Reports (2 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Aimee Tan
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Microbiology 260
- Endocrinology 123
- Biotechnology 174
- Molecular Medicine 83
- Food Science 255
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2004 | 115 | |
| 3 | 2012 | 108 | |
| 4 | 2005 | 87 | |
| 5 | 2018 | 62 | |
| 6 | 2019 | 58 | |
| 7 | 2015 | 55 | |
| 8 | 2020 | 44 | |
| 9 | 2008 | 38 | |
| 10 | 2016 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2016 | 33 | |
| 13 | 2022 | 28 | |
| 14 | 2022 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2010 | 24 | |
| 17 | 2018 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2019 | 16 | |
| 20 | Human salmonellosis and peanut butter | 1996 | 14 |
About Aimee Tan
Aimee Tan is a scholar working on Microbiology, Molecular Medicine, Endocrinology, Epidemiology and Nutrition and Dietetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (12 papers), Antibiotic Resistance in Bacteria (6 papers), Trace Elements in Health (6 papers), Bacterial Infections and Vaccines (6 papers), Genomics and Phylogenetic Studies (5 papers), Bacterial Genetics and Biotechnology (5 papers), Escherichia coli research studies (5 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Microbiology (260 citations), Endocrinology (123 citations), Biotechnology (174 citations), Molecular Medicine (83 citations) and Food Science (255 citations). Aimee Tan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kate L. Seib, Ray Borrow, Evgeny A. Semchenko, Michael P. Jennings, John M. Atack, Lauren O. Bakaletz, Luke V. Blakeway, Martyn Kirk, Ian R. A. Peak and Christine L. Little. Their work appears in journals such as Epidemiology and Infection, Microbiology Spectrum, Journal of Bacteriology, Scientific Reports and Clinical Infectious Diseases.
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.