Rafaella Albuquerque e Silva
- Epidemiology
- Public Health, Environmental and Occupational Health
- Insect Science
- Parasitology
- Infectious Diseases
- Co-authors
- Renato Vieira AlvesVeruska Maia da CostaRodrigo Gurgel‐GonçalvesMarcos Takashi ObaraMárcio Costa VinhaesStefan Vilges de OliveiraCláudia Mendonça BezerraPedro Albajar-Viñas
- Topics
- Research on Leishmaniasis Studies (4 papers)Trypanosoma species research and implications (4 papers)Insect symbiosis and bacterial influences (2 papers)
- Partner nations
- BrazilSao Tome and Principe
In The Last Decade
Rafaella Albuquerque e Silva
5 papers receiving 70 citations
Peers
Comparison fields: 5 of 25
- Epidemiology 56
- Public Health, Environmental and Occupational Health 48
- Insect Science 28
- Parasitology 14
- Infectious Diseases 5
Countries citing papers authored by Rafaella Albuquerque e Silva
This map shows the geographic impact of Rafaella Albuquerque e Silva'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 Rafaella Albuquerque e Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafaella Albuquerque e Silva more than expected).
Fields of papers citing papers by Rafaella Albuquerque e Silva
This network shows the impact of papers produced by Rafaella Albuquerque e Silva. 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 Rafaella Albuquerque e Silva. The network helps show where Rafaella Albuquerque e Silva may publish in the future.
Co-authorship network of co-authors of Rafaella Albuquerque e Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Rafaella Albuquerque e Silva. A scholar is included among the top collaborators of Rafaella Albuquerque e Silva 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 Rafaella Albuquerque e Silva. Rafaella Albuquerque e Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 12 |
About Rafaella Albuquerque e Silva
Rafaella Albuquerque e Silva is a scholar working on Ecological Modeling, Public Health, Environmental and Occupational Health and Insect Science, having authored 6 papers that have together received 71 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (4 papers), Trypanosoma species research and implications (4 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Insect Science (28 citations), Parasitology (14 citations) and Public Health, Environmental and Occupational Health (48 citations). Rafaella Albuquerque e Silva has collaborated with scholars based in Brazil and Sao Tome and Principe. Frequent co-authors include Renato Vieira Alves, Veruska Maia da Costa, Rodrigo Gurgel‐Gonçalves, Marcos Takashi Obara, Márcio Costa Vinhaes, Stefan Vilges de Oliveira, Cláudia Mendonça Bezerra, Pedro Albajar-Viñas, João Carlos Pinto Dias and Fred Luciano Neves Santos. Their work appears in journals such as Acta Tropica, Parasites & Vectors and Memórias do Instituto Oswaldo Cruz.
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.