Débora Andrade-Silva
- Genetics top 5%
- Virology top 2%
- Molecular Biology
- Paleontology top 5%
- Microbiology top 5%
- Co-authors
- Inácio L.M. Junqueira-de-AzevedoSolange M.T. SerranoPaulo Lee HoAndré ZelanisMarisa Maria Teixeira da RochaEliane N. MiyajiMichelle DarrieuxDaniela M. Ferreira
- Topics
- Venomous Animal Envenomation and Studies (19 papers)Rabies epidemiology and control (14 papers)Amphibian and Reptile Biology (7 papers)
- Cited by
- VirologyMicrobiologyPaleontology
- Journals
- Scientific ReportsInternational Journal of Biological MacromoleculesMolecular & Cellular Proteomics
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Débora Andrade-Silva
23 papers receiving 645 citations
Peers
Comparison fields: 5 of 51
- Genetics 472
- Virology 265
- Molecular Biology 215
- Paleontology 126
- Microbiology 122
Countries citing papers authored by Débora Andrade-Silva
This map shows the geographic impact of Débora Andrade-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 Débora Andrade-Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Débora Andrade-Silva more than expected).
Fields of papers citing papers by Débora Andrade-Silva
This network shows the impact of papers produced by Débora Andrade-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 Débora Andrade-Silva. The network helps show where Débora Andrade-Silva may publish in the future.
Co-authorship network of co-authors of Débora Andrade-Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Débora Andrade-Silva. A scholar is included among the top collaborators of Débora Andrade-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 Débora Andrade-Silva. Débora Andrade-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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 31 | |
| 15 | 35 | |
| 16 | 32 | |
| 17 | 54 | |
| 18 | 47 | |
| 19 | 123 | |
| 20 | 46 |
About Débora Andrade-Silva
Débora Andrade-Silva is a scholar working on Virology, Genetics and Aging, having authored 25 papers that have together received 649 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (19 papers), Rabies epidemiology and control (14 papers) and Amphibian and Reptile Biology (7 papers). The work is most often cited by research in Virology (265 citations), Microbiology (122 citations) and Paleontology (126 citations). Débora Andrade-Silva has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Inácio L.M. Junqueira-de-Azevedo, Solange M.T. Serrano, Paulo Lee Ho, André Zelanis, Marisa Maria Teixeira da Rocha, Eliane N. Miyaji, Michelle Darrieux, Daniela M. Ferreira, Luciana C. C. Leite and Maria Leonor S. Oliveira. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules and Molecular & Cellular Proteomics.
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.