Daniela S. Rajão
- Epidemiology top 2%
- Agronomy and Crop Science top 1%
- Infectious Diseases top 5%
- Immunology top 10%
- Animal Science and Zoology top 2%
- Co-authors
- Daniel R. PérezAmy L. VincentPhillip C. GaugerTavis K. AndersonNicola S. LewisEugenio J. AbenteCrystal L. LovingC. Joaquín Cáceres
- Topics
- Influenza Virus Research Studies (59 papers)Animal Disease Management and Epidemiology (38 papers)Respiratory viral infections research (33 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of Virology
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Daniela S. Rajão
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Epidemiology 1.1k
- Agronomy and Crop Science 681
- Infectious Diseases 513
- Immunology 287
- Animal Science and Zoology 231
Countries citing papers authored by Daniela S. Rajão
This map shows the geographic impact of Daniela S. Rajão'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 S. Rajão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela S. Rajão more than expected).
Fields of papers citing papers by Daniela S. Rajão
This network shows the impact of papers produced by Daniela S. Rajão. 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 S. Rajão. The network helps show where Daniela S. Rajão may publish in the future.
Co-authorship network of co-authors of Daniela S. Rajão
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela S. Rajão. A scholar is included among the top collaborators of Daniela S. Rajão based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela S. Rajão. Daniela S. Rajão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 40 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | 81 | |
| 14 | 35 | |
| 15 | 39 | |
| 16 | RETROVIROSES DOS ANIMAIS DOMÉSTICOS | 2 |
| 17 | 23 | |
| 18 | 21 | |
| 19 | 4 | |
| 20 | Study of bovine leukemia virus infection in water buffalos (Bubalus bubalis) in the State of Minas Gerais. | 1 |
About Daniela S. Rajão
Daniela S. Rajão is a scholar working on Agronomy and Crop Science, Epidemiology and Animal Science and Zoology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (59 papers), Animal Disease Management and Epidemiology (38 papers) and Respiratory viral infections research (33 papers). The work is most often cited by research in Agronomy and Crop Science (681 citations), Epidemiology (1.1k citations) and Infectious Diseases (513 citations). Daniela S. Rajão has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Daniel R. Pérez, Amy L. Vincent, Phillip C. Gauger, Tavis K. Anderson, Nicola S. Lewis, Eugenio J. Abente, Crystal L. Loving, C. Joaquín Cáceres, Rasna R. Walia and Pravina Kitikoon. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Virology.
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.