Fernanda G. Paião
- Co-authors
- Massami ShimokomakiNilce Maria Martinez-RossiFernanda Cristina de Albuquerque MaranhãoLetı́cia Sayuri MurateAdriana Aparecida DrovalAlexandre ObaSandra Helena PrudêncioAna Lúcia Fachin
- Topics
- Animal Nutrition and Physiology (8 papers)Meat and Animal Product Quality (7 papers)Phytoplasmas and Hemiptera pathogens (3 papers)
- Partner nations
- Brazil
In The Last Decade
Fernanda G. Paião
20 papers receiving 383 citations
Peers
Comparison fields: 5 of 70
- Animal Science and Zoology 171
- Epidemiology 116
- Food Science 84
- Molecular Biology 68
- Cell Biology 68
Countries citing papers authored by Fernanda G. Paião
This map shows the geographic impact of Fernanda G. Paião'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 Fernanda G. Paião with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda G. Paião more than expected).
Fields of papers citing papers by Fernanda G. Paião
This network shows the impact of papers produced by Fernanda G. Paião. 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 Fernanda G. Paião. The network helps show where Fernanda G. Paião may publish in the future.
Co-authorship network of co-authors of Fernanda G. Paião
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda G. Paião. A scholar is included among the top collaborators of Fernanda G. Paião 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 Fernanda G. Paião. Fernanda G. Paião is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 29 | |
| 7 | 37 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 44 | |
| 11 | 9 | |
| 12 | 17 | |
| 13 | 61 | |
| 14 | 50 | |
| 15 | 33 | |
| 16 | 5 | |
| 17 | 53 | |
| 18 | 11 | |
| 19 | Detecção de Xylella fastidiosa em Cicadelíneos coletados em lavouras cafeeiras no estado do Paraná | 1 |
| 20 | Presença de Xylella fastidiosa em quatro espécies de cigarrinhas da família cicadellidae coletadas em viveiros de café no estado do Paraná | 1 |
About Fernanda G. Paião
Fernanda G. Paião is a scholar working on Horticulture, Animal Science and Zoology and Food Science, having authored 20 papers that have together received 398 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (8 papers), Meat and Animal Product Quality (7 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). The work is most often cited by research in Animal Science and Zoology (171 citations), Horticulture (6 citations) and Food Science (84 citations). Fernanda G. Paião has collaborated with scholars based in Brazil. Frequent co-authors include Massami Shimokomaki, Nilce Maria Martinez-Rossi, Fernanda Cristina de Albuquerque Maranhão, Letı́cia Sayuri Murate, Adriana Aparecida Droval, Alexandre Oba, Sandra Helena Prudêncio, Ana Lúcia Fachin, Gislayne Trindade Vilas-Bôas and Laurival A. Vilas-Bôas. Their work appears in journals such as LWT, BMC Microbiology and Journal of Medical Microbiology.
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.