Thushan I. de Silva
- Virology top 2%
- HIV Research and Treatment 17
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 17
- HIV/AIDS drug development and treatment 10
- Antimicrobial Resistance in Staphylococcus 9
- Modeling and Simulation top 2%
- Immunology top 10%
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- Influenza Virus Research Studies 15
- Respiratory viral infections research 13
- Pneumonia and Respiratory Infections 11
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- Streptococcal Infections and Treatments 10
Thushan I. de Silva
83 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Virology 355
- Infectious Diseases 1.3k
- Modeling and Simulation 123
- Applied Microbiology and Biotechnology 47
- Immunology 355
Countries citing papers authored by Thushan I. de Silva
This map shows the geographic impact of Thushan I. de Silva'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 Thushan I. de Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thushan I. de Silva more than expected).
Fields of papers citing papers by Thushan I. de Silva
This network shows the impact of papers produced by Thushan I. de Silva. 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 Thushan I. de Silva. The network helps show where Thushan I. de Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thushan I. de Silva, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 5 | |
| 7 | SARS-CoV-2 variant biology: immune escape, transmission and fitnessbreakdown → | 2023 | 682 |
| 8 | 2022 | 6 | |
| 9 | The effect of live attenuated influenza vaccine on pneumococcal colonisation densities among children aged 24–59 months in The Gambia: a phase 4, open label, randomised, controlled trial | 2021 | 8 |
| 10 | 2021 | 8 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 45 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 25 | |
| 16 | 2018 | 7 | |
| 17 | 2015 | 15 | |
| 18 | 2011 | 10 | |
| 19 | 2010 | 37 | |
| 20 | 2005 | 9 |
About Thushan I. de Silva
Thushan I. de Silva is a scholar working on Virology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), HIV Research and Treatment (17 papers), Influenza Virus Research Studies (15 papers), Respiratory viral infections research (13 papers), Pneumonia and Respiratory Infections (11 papers), Streptococcal Infections and Treatments (10 papers), HIV/AIDS drug development and treatment (10 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). The work is most often cited by research in Virology (355 citations), Infectious Diseases (1.3k citations) and Modeling and Simulation (123 citations). Thushan I. de Silva has collaborated with scholars based in United Kingdom, Gambia and United States. Frequent co-authors include Sarah Rowland‐Jones, Joseph Hughes, William T. Harvey, Thomas P. Peacock, David L. Robertson, Alessandro M. Carabelli, William Barclay, Sharon J. Peacock, Greg J. Towers and Lucy Thorne.
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.