Chee K. Tan
- Epidemiology top 10%
- Molecular Biology
- Immunology
- Public Health, Environmental and Occupational Health
- Endocrinology top 5%
- Co-authors
- Glen C. UlettAlison J. CareyAllan W. CrippsBenjamin L. DuellMark A. SchembriRichard I. WebbHelen F. Irving‐RodgersKimberly B. Ulett
- Topics
- Urinary Tract Infections Management (8 papers)Gut microbiota and health (8 papers)Immune Response and Inflammation (4 papers)
- Cited by
- EndocrinologyUrologyMicrobiology
- Partner nations
- AustraliaUnited StatesBrazil
In The Last Decade
Chee K. Tan
16 papers receiving 572 citations
Peers
Comparison fields: 5 of 83
- Epidemiology 285
- Molecular Biology 148
- Immunology 114
- Public Health, Environmental and Occupational Health 102
- Endocrinology 97
Countries citing papers authored by Chee K. Tan
This map shows the geographic impact of Chee K. 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 Chee K. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee K. Tan more than expected).
Fields of papers citing papers by Chee K. Tan
This network shows the impact of papers produced by Chee K. 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 Chee K. Tan. The network helps show where Chee K. Tan may publish in the future.
Co-authorship network of co-authors of Chee K. Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Chee K. Tan. A scholar is included among the top collaborators of Chee K. Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chee K. Tan. Chee K. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 50 | |
| 3 | 34 | |
| 4 | 18 | |
| 5 | 61 | |
| 6 | 50 | |
| 7 | Recent insights into microbial triggers of interleukin-10 production in the host and the impact on infectious disease pathogenesis | 4 |
| 8 | Innate transcriptional networks activated in bladder in response to uropathogenic Escherichia coli drive diverse biological pathways and rapid synthesis of IL-10 for defense against bacterial urinary tract infection | 2 |
| 9 | 69 | |
| 10 | 35 | |
| 11 | 65 | |
| 12 | 32 | |
| 13 | 11 | |
| 14 | 40 | |
| 15 | 82 | |
| 16 | 18 |
About Chee K. Tan
Chee K. Tan is a scholar working on Endocrinology, Microbiology and Epidemiology, having authored 16 papers that have together received 577 indexed citations. Recurring topics across this work include Urinary Tract Infections Management (8 papers), Gut microbiota and health (8 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Endocrinology (97 citations), Urology (81 citations) and Microbiology (52 citations). Chee K. Tan has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Glen C. Ulett, Alison J. Carey, Allan W. Cripps, Benjamin L. Duell, Mark A. Schembri, Richard I. Webb, Helen F. Irving‐Rodgers, Kimberly B. Ulett, Michael Crowley and William H. Benjamin. Their work appears in journals such as The Journal of Immunology, PLoS ONE and The Journal of 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.