Fernando Couto Motta
- Infectious Diseases top 5%
- Epidemiology
- Molecular Biology
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Paola Cristina ResendeMarilda Mendonça SiqueiraTúlio Machado FumianMarize Pereira MiagostovichJuliana da Silva Ribeiro de AndradeTatiana PradoCamille Ferreira MannarinoAdriana Gonçalves Maranhão
- Topics
- Influenza Virus Research Studies (18 papers)Respiratory viral infections research (18 papers)SARS-CoV-2 and COVID-19 Research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEWater Research
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Fernando Couto Motta
35 papers receiving 474 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 272
- Epidemiology 202
- Molecular Biology 109
- Biomedical Engineering 89
- Public Health, Environmental and Occupational Health 38
Countries citing papers authored by Fernando Couto Motta
This map shows the geographic impact of Fernando Couto Motta'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 Fernando Couto Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Couto Motta more than expected).
Fields of papers citing papers by Fernando Couto Motta
This network shows the impact of papers produced by Fernando Couto Motta. 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 Fernando Couto Motta. The network helps show where Fernando Couto Motta may publish in the future.
Co-authorship network of co-authors of Fernando Couto Motta
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Couto Motta. A scholar is included among the top collaborators of Fernando Couto Motta 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 Fernando Couto Motta. Fernando Couto Motta 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 158 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | 9 |
About Fernando Couto Motta
Fernando Couto Motta is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 37 papers that have together received 488 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (18 papers), Respiratory viral infections research (18 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). The work is most often cited by research in Infectious Diseases (272 citations), Epidemiology (202 citations) and Modeling and Simulation (21 citations). Fernando Couto Motta has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Paola Cristina Resende, Marilda Mendonça Siqueira, Túlio Machado Fumian, Marize Pereira Miagostovich, Juliana da Silva Ribeiro de Andrade, Tatiana Prado, Camille Ferreira Mannarino, Adriana Gonçalves Maranhão, Ana Lúcia Fontes Eppinghaus and Philippe Grellier. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Research.
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.