Daniela Santoro Rosa
- Immunology top 2%
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 15
- Virology top 5%
- HIV Research and Treatment 18
-
- Mosquito-borne diseases and control 19
- Infectious Diseases top 5%
- Viral Infections and Vectors 10
- SARS-CoV-2 and COVID-19 Research 8
- Parasitology top 5%
-
- vaccines and immunoinformatics approaches 14
-
- Trypanosoma species research and implications 7
- Co-authors
- Juliana de Souza ApostólicoSilvia Beatriz BoscardinEdécio Cunha‐NetoVictória Alves Santos LunardelliGennaro De LiberoRobert L. ModlinCraig T. MoritaYoshimasa Tanaka
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (5 papers)The Journal of Immunology (1 paper)
- Partner nations
- BrazilUnited StatesSingapore
In The Last Decade
Daniela Santoro Rosa
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 122
- Immunology 963
- Virology 163
- Public Health, Environmental and Occupational Health 595
- Infectious Diseases 336
- Parasitology 114
Countries citing papers authored by Daniela Santoro Rosa
This map shows the geographic impact of Daniela Santoro Rosa'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 Daniela Santoro Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Santoro Rosa more than expected).
Fields of papers citing papers by Daniela Santoro Rosa
This network shows the impact of papers produced by Daniela Santoro Rosa. 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 Daniela Santoro Rosa. The network helps show where Daniela Santoro Rosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Santoro Rosa, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 10 | |
| 15 | 2017 | 15 | |
| 16 | 2016 | 224 | |
| 17 | 2015 | 19 | |
| 18 | 2011 | 7 | |
| 19 | 2010 | 61 | |
| 20 | 2010 | 43 |
About Daniela Santoro Rosa
Daniela Santoro Rosa is a scholar working on Virology, Immunology and Infectious Diseases, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (19 papers), Immune Cell Function and Interaction (19 papers), HIV Research and Treatment (18 papers), Immunotherapy and Immune Responses (15 papers), vaccines and immunoinformatics approaches (14 papers), Viral Infections and Vectors (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Trypanosoma species research and implications (7 papers). The work is most often cited by research in Immunology (963 citations), Virology (163 citations) and Public Health, Environmental and Occupational Health (595 citations). Daniela Santoro Rosa has collaborated with scholars based in Brazil, United States and Singapore. Frequent co-authors include Juliana de Souza Apostólico, Silvia Beatriz Boscardin, Edécio Cunha‐Neto, Victória Alves Santos Lunardelli, Gennaro De Libero, Robert L. Modlin, Craig T. Morita, Yoshimasa Tanaka, Michael B. Brenner and Susumu Sano. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.