Cedric Tan
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 3
- Co-authors
- François Balloux (11 shared papers)Lucy van Dorp (11 shared papers)Damien Richard (5 shared papers)Mislav Acman (4 shared papers)Liam P. Shaw (2 shared papers)C. J. Owen (2 shared papers)Piers R. Boshier (1 shared paper)Juanita Pang (2 shared papers)
- Journals
- Infection Genetics and Evolution (2 papers)Nature Ecology & Evolution (2 papers)Nature Communications (2 papers)Journal of Clinical Virology (2 papers)Genome Medicine (1 paper)
- Partner nations
- United KingdomSingaporeFrance
In The Last Decade
Cedric Tan
19 papers receiving 1.0k citations
Cedric Tan's Hit Papers
Peers
Comparison fields: 5 of 114
- Infectious Diseases 757
- Modeling and Simulation 110
- Animal Science and Zoology 140
- Biotechnology 48
- Molecular Biology 307
Countries citing papers authored by Cedric Tan
This map shows the geographic impact of Cedric 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 Cedric Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cedric Tan more than expected).
Fields of papers citing papers by Cedric Tan
This network shows the impact of papers produced by Cedric 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 Cedric Tan. The network helps show where Cedric Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cedric 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
| # | Work | ||
|---|---|---|---|
| 1 | Emergence of genomic diversity and recurrent mutations in SARS-CoV-2 Hit paper breakdown → | 2020 | 514 |
| 2 | 2020 | 187 | |
| 3 | 2023 | 78 | |
| 4 | 2022 | 75 | |
| 5 | 2016 | 74 | |
| 6 | 2021 | 35 | |
| 7 | 2024 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | The Green Man Plus System | 2010 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 |
About Cedric Tan
Cedric Tan is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Hepatology and Clinical Biochemistry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), COVID-19 Clinical Research Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Zoonotic diseases and public health (2 papers), Plant Virus Research Studies (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Infectious Diseases (757 citations), Modeling and Simulation (110 citations), Animal Science and Zoology (140 citations), Biotechnology (48 citations) and Molecular Biology (307 citations). Cedric Tan has collaborated with scholars based in United Kingdom, Singapore and France. Frequent co-authors include François Balloux, Lucy van Dorp, Damien Richard, Mislav Acman, Liam P. Shaw, C. J. Owen, Piers R. Boshier, Juanita Pang, Arturo Torres Ortiz and Charlotte Ford. Their work appears in journals such as Infection Genetics and Evolution, Nature Ecology & Evolution, Nature Communications, Journal of Clinical Virology and Genome Medicine.
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.