Thiago Cerqueira‐Silva
- Infectious Diseases top 5%
- Health top 5%
- Public Health, Environmental and Occupational Health
- Modeling and Simulation top 5%
- Neurology
- Co-authors
- Manoel Barral‐NettoViviane BoaventuraMaurício L. BarretoGuilherme Loureiro WerneckVinícius de Araújo OliveiraGerson Oliveira PennaJuracy BertoldoEnny S. Paixão
- Topics
- Mosquito-borne diseases and control (10 papers)SARS-CoV-2 and COVID-19 Research (9 papers)Vaccine Coverage and Hesitancy (9 papers)
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Thiago Cerqueira‐Silva
41 papers receiving 441 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 276
- Health 130
- Public Health, Environmental and Occupational Health 94
- Modeling and Simulation 57
- Neurology 55
Countries citing papers authored by Thiago Cerqueira‐Silva
This map shows the geographic impact of Thiago Cerqueira‐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 Thiago Cerqueira‐Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thiago Cerqueira‐Silva more than expected).
Fields of papers citing papers by Thiago Cerqueira‐Silva
This network shows the impact of papers produced by Thiago Cerqueira‐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 Thiago Cerqueira‐Silva. The network helps show where Thiago Cerqueira‐Silva may publish in the future.
Co-authorship network of co-authors of Thiago Cerqueira‐Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Thiago Cerqueira‐Silva. A scholar is included among the top collaborators of Thiago Cerqueira‐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 Thiago Cerqueira‐Silva. Thiago Cerqueira‐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 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 69 | |
| 14 | 35 | |
| 15 | 16 | |
| 16 | 30 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | 27 | |
| 20 | 4 |
About Thiago Cerqueira‐Silva
Thiago Cerqueira‐Silva is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 48 papers that have together received 448 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Vaccine Coverage and Hesitancy (9 papers). The work is most often cited by research in Health (130 citations), Infectious Diseases (276 citations) and Modeling and Simulation (57 citations). Thiago Cerqueira‐Silva has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Manoel Barral‐Netto, Viviane Boaventura, Maurício L. Barreto, Guilherme Loureiro Werneck, Vinícius de Araújo Oliveira, Gerson Oliveira Penna, Juracy Bertoldo, Enny S. Paixão, Neil Pearce and Renzo Flores-Ortiz. Their work appears in journals such as Nature Medicine, Nature Communications and PLoS ONE.
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.