C Tham
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in ⓘ
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- Hepatitis C virus research 6
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 6
- Viral Infections and Outbreaks Research 4
- Co-authors
- Antonio Bertoletti (15 shared papers)Anthony T. Tan (8 shared papers)Jenny G. Low (8 shared papers)Shirin Kalimuddin (6 shared papers)Adeline Chia (6 shared papers)Nina Le Bert (4 shared papers)Lin‐Fa Wang (3 shared papers)Martin Linster (2 shared papers)
In The Last Decade
C Tham
16 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Infectious Diseases 1.7k
- Modeling and Simulation 190
- Neurology 396
- Immunology 501
- Hepatology 157
Countries citing papers authored by C Tham
This map shows the geographic impact of C Tham'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 C Tham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Tham more than expected).
Fields of papers citing papers by C Tham
This network shows the impact of papers produced by C Tham. 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 C Tham. The network helps show where C Tham may publish in the future.
Co-authors
The 25 scholars most cited alongside C Tham, 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 | SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls Hit paper breakdown → | 2020 | 1224 |
| 2 | Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patients Hit paper breakdown → | 2021 | 440 |
| 3 | 2021 | 103 | |
| 4 | 2018 | 58 | |
| 5 | 2021 | 48 | |
| 6 | 2019 | 47 | |
| 7 | 2021 | 35 | |
| 8 | 2022 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2013 | 16 | |
| 13 | 2015 | 8 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2019 | 0 |
About C Tham
C Tham is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Immunology and Virology, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Hepatitis C virus research (6 papers), COVID-19 Clinical Research Studies (6 papers), Viral Infections and Outbreaks Research (4 papers), Immunotherapy and Immune Responses (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (190 citations), Neurology (396 citations), Immunology (501 citations) and Hepatology (157 citations). C Tham has collaborated with scholars based in Singapore, Italy and Germany. Frequent co-authors include Antonio Bertoletti, Anthony T. Tan, Jenny G. Low, Shirin Kalimuddin, Adeline Chia, Nina Le Bert, Lin‐Fa Wang, Martin Linster, Wan Ni Chia and Kamini Kunasegaran. Their work appears in journals such as Journal of Hepatology, Med, Digestive and Liver Disease, Infection Genetics and Evolution and PLoS Biology.
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.