Manuela Leal da Silva
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Infectious Diseases
- Computational Theory and Mathematics
- Epidemiology
- Co-authors
- Diego AllonsoRonaldo Mohana‐BorgesJonas N. CondeDiego R. CoelhoPedro G. PascuttiPaulo M. BischG CostaVânia Margaret Flosi Paschoalin
- Topics
- Protein Structure and Dynamics (5 papers)Computational Drug Discovery Methods (5 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiochemistryJournal of Virology
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Manuela Leal da Silva
18 papers receiving 250 citations
Peers
Comparison fields: 5 of 72
- Public Health, Environmental and Occupational Health 90
- Molecular Biology 81
- Infectious Diseases 65
- Computational Theory and Mathematics 32
- Epidemiology 31
Countries citing papers authored by Manuela Leal da Silva
This map shows the geographic impact of Manuela Leal da 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 Manuela Leal da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Leal da Silva more than expected).
Fields of papers citing papers by Manuela Leal da Silva
This network shows the impact of papers produced by Manuela Leal da 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 Manuela Leal da Silva. The network helps show where Manuela Leal da Silva may publish in the future.
Co-authorship network of co-authors of Manuela Leal da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Leal da Silva. A scholar is included among the top collaborators of Manuela Leal da 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 Manuela Leal da Silva. Manuela Leal da 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 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 24 | |
| 14 | 36 | |
| 15 | 40 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 9 |
About Manuela Leal da Silva
Manuela Leal da Silva is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 25 papers that have together received 250 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Virology (18 citations), Infectious Diseases (65 citations) and Public Health, Environmental and Occupational Health (90 citations). Manuela Leal da Silva has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Diego Allonso, Ronaldo Mohana‐Borges, Jonas N. Conde, Diego R. Coelho, Pedro G. Pascutti, Paulo M. Bisch, G Costa, Vânia Margaret Flosi Paschoalin, Patrícia Ribeiro Pereira and Maurício Afonso Verícimo. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemistry 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.