Pui San Tan
- Infectious Diseases top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Epidemiology top 10%
- Applied Microbiology and Biotechnology top 0.5%
- Co-authors
- Benjamin HaalandJulia Hippisley–CoxCarol CouplandGilberto LopesChristopher ButlerPaul AveyardPeter WatkinsonDavid A Harrison
- Topics
- COVID-19 Clinical Research Studies (10 papers)Lung Cancer Treatments and Mutations (8 papers)Influenza Virus Research Studies (4 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Pui San Tan
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 521
- Pulmonary and Respiratory Medicine 477
- Oncology 397
- Epidemiology 250
- Applied Microbiology and Biotechnology 233
Countries citing papers authored by Pui San Tan
This map shows the geographic impact of Pui San 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 Pui San Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pui San Tan more than expected).
Fields of papers citing papers by Pui San Tan
This network shows the impact of papers produced by Pui San 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 Pui San Tan. The network helps show where Pui San Tan may publish in the future.
Co-authorship network of co-authors of Pui San Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Pui San Tan. A scholar is included among the top collaborators of Pui San 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 Pui San Tan. Pui San 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 | 10 | |
| 2 | 8 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 110 | |
| 7 | 63 | |
| 8 | Association between pre-existing respiratory disease and its treatment, and severe COVID-19: a population cohort studybreakdown → | 169 |
| 9 | 20 | |
| 10 | The challenge of antimicrobial resistance: What economics can contributebreakdown → | 401 |
| 11 | 46 | |
| 12 | 12 | |
| 13 | 22 | |
| 14 | 21 | |
| 15 | 20 | |
| 16 | 38 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 67 | |
| 20 | 12 |
About Pui San Tan
Pui San Tan is a scholar working on Applied Microbiology and Biotechnology, Oncology and Infectious Diseases, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Lung Cancer Treatments and Mutations (8 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (233 citations), Infectious Diseases (521 citations) and Molecular Medicine (84 citations). Pui San Tan has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Benjamin Haaland, Julia Hippisley–Cox, Carol Coupland, Gilberto Lopes, Christopher Butler, Paul Aveyard, Peter Watkinson, David A Harrison, A. Sarah Walker and Duncan Young. Their work appears in journals such as Science, Journal of Clinical Oncology and PLoS ONE.
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.