Gaya K. Amarasinghe
- Infectious Diseases top 0.5%
- Viral Infections and Outbreaks Research 50
- Viral Infections and Vectors 48
- Viral gastroenteritis research and epidemiology 23
- SARS-CoV-2 and COVID-19 Research 13
- Virology top 2%
- Immunology top 5%
- interferon and immune responses 19
- Emergency Medical Services top 1%
- Epidemiology top 2%
- Hepatitis B Virus Studies 11
- Respiratory viral infections research 8
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- RNA and protein synthesis mechanisms 7
- Co-authors
- Christopher F. BaslerDaisy W. LeungMichael F. SummersReed S. ShabmanRyan B. TurnerRoberto N. De GuzmanIlhem MessaoudiDominika Borek
- Partner nations
- United StatesHong KongChina
In The Last Decade
Gaya K. Amarasinghe
105 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 2.6k
- Virology 386
- Immunology 902
- Emergency Medical Services 255
- Epidemiology 995
Countries citing papers authored by Gaya K. Amarasinghe
This map shows the geographic impact of Gaya K. Amarasinghe'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 Gaya K. Amarasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaya K. Amarasinghe more than expected).
Fields of papers citing papers by Gaya K. Amarasinghe
This network shows the impact of papers produced by Gaya K. Amarasinghe. 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 Gaya K. Amarasinghe. The network helps show where Gaya K. Amarasinghe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaya K. Amarasinghe, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 4 | |
| 6 | Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown → | 2023 | 116 |
| 7 | 2023 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 91 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 1 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 40 | |
| 18 | 2014 | 130 | |
| 19 | 2009 | 127 | |
| 20 | 2009 | 126 |
About Gaya K. Amarasinghe
Gaya K. Amarasinghe is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 108 papers that have together received 4.7k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (50 papers), Viral Infections and Vectors (48 papers), Viral gastroenteritis research and epidemiology (23 papers), interferon and immune responses (19 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Hepatitis B Virus Studies (11 papers), Respiratory viral infections research (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Virology (386 citations) and Immunology (902 citations). Gaya K. Amarasinghe has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Christopher F. Basler, Daisy W. Leung, Michael F. Summers, Reed S. Shabman, Ryan B. Turner, Roberto N. De Guzman, Ilhem Messaoudi, Dominika Borek, Parameshwaran Ramanan and Kathleen C. Prins. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.