Julia Barrett
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 2
-
- Immunodeficiency and Autoimmune Disorders 3
- Immune responses and vaccinations 2
- interferon and immune responses 1
- Co-authors
- Jingyou Yu (5 shared papers)Daniel Sellers (4 shared papers)Dan H. Barouch (6 shared papers)Michaela Sciacca (1 shared paper)Cindy Wu (1 shared paper)Katherine McMahan (3 shared papers)Catherine Jacob-Dolan (3 shared papers)Haley VanWyk (1 shared paper)
- Journals
- npj Vaccines (2 papers)Nature (1 paper)iScience (1 paper)International Journal of Infectious Diseases (1 paper)Vaccines (1 paper)
- Partner nations
- United StatesNetherlandsSouth Africa
In The Last Decade
Julia Barrett
8 papers receiving 332 citations
Julia Barrett's Hit Papers
Peers
Comparison fields: 5 of 41
- Infectious Diseases 267
- Modeling and Simulation 20
- Health 29
- Immunology 74
- Animal Science and Zoology 28
Countries citing papers authored by Julia Barrett
This map shows the geographic impact of Julia Barrett'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 Julia Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Barrett more than expected).
Fields of papers citing papers by Julia Barrett
This network shows the impact of papers produced by Julia Barrett. 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 Julia Barrett. The network helps show where Julia Barrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Barrett, 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 | Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron Hit paper breakdown → | 2022 | 281 |
| 2 | 2023 | 18 | |
| 3 | 2019 | 11 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2025 | 4 | |
| 8 | 2022 | 4 |
About Julia Barrett
Julia Barrett is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Health and Neurology, having authored 8 papers that have together received 337 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Tuberculosis Research and Epidemiology (2 papers), vaccines and immunoinformatics approaches (2 papers), Immune responses and vaccinations (2 papers), interferon and immune responses (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (267 citations), Modeling and Simulation (20 citations), Health (29 citations), Immunology (74 citations) and Animal Science and Zoology (28 citations). Julia Barrett has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Jingyou Yu, Daniel Sellers, Dan H. Barouch, Michaela Sciacca, Cindy Wu, Katherine McMahan, Catherine Jacob-Dolan, Haley VanWyk, Abishek Chandrashekar and Ai‐ris Y. Collier. Their work appears in journals such as npj Vaccines, Nature, iScience, International Journal of Infectious Diseases and Vaccines.
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.