Bernadeta Dadonaite
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 2
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- Influenza Virus Research Studies 8
- Respiratory viral infections research 3
- Animal Science and Zoology top 10%
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- vaccines and immunoinformatics approaches 4
- RNA and protein synthesis mechanisms 4
- CRISPR and Genetic Engineering 2
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- interferon and immune responses 4
- Co-authors
- Ervin FodorJesse D. BloomAriana Ghez FarrellLorena E. BrownSanja TrifkovicBrad GilbertsonMichael L. KnightAlain Laederach
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Bernadeta Dadonaite
20 papers receiving 670 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Infectious Diseases 354
- Epidemiology 247
- Animal Science and Zoology 69
- Virology 24
- Molecular Biology 320
Countries citing papers authored by Bernadeta Dadonaite
This map shows the geographic impact of Bernadeta Dadonaite'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 Bernadeta Dadonaite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernadeta Dadonaite more than expected).
Fields of papers citing papers by Bernadeta Dadonaite
This network shows the impact of papers produced by Bernadeta Dadonaite. 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 Bernadeta Dadonaite. The network helps show where Bernadeta Dadonaite may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernadeta Dadonaite, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 44 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 15 | |
| 10 | A pseudovirus system enables deep mutational scanning of the full SARS-CoV-2 spikebreakdown → | 2023 | 85 |
| 11 | 2023 | 23 | |
| 12 | Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolutionbreakdown → | 2022 | 157 |
| 13 | 2022 | 18 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 157 | |
| 16 | 2019 | 1 | |
| 17 | 2016 | 33 | |
| 18 | 2016 | 71 | |
| 19 | Eradication of Diseases | 2014 | 1 |
| 20 | 2013 | 5 |
About Bernadeta Dadonaite
Bernadeta Dadonaite is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 21 papers that have together received 678 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Influenza Virus Research Studies (8 papers), vaccines and immunoinformatics approaches (4 papers), interferon and immune responses (4 papers), RNA and protein synthesis mechanisms (4 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Infectious Diseases (354 citations), Epidemiology (247 citations) and Animal Science and Zoology (69 citations). Bernadeta Dadonaite has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Ervin Fodor, Jesse D. Bloom, Ariana Ghez Farrell, Lorena E. Brown, Sanja Trifkovic, Brad Gilbertson, Michael L. Knight, Alain Laederach, William W. Hannon and Steven Rockman. Their work appears in journals such as Nature, Science and Cell.
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.