Maria Célia Cervi
- Epidemiology top 10%
- Infectious Diseases top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Otávio CintraMarisa Márcia Mussi‐PinhataGeraldo DuarteEurico ArrudaAparecida Yulie YamamotoLuíz Tadeu Moraes FigueiredoJulius M. LiptakRoberto Martínez
- Topics
- HIV-related health complications and treatments (5 papers)Respiratory viral infections research (5 papers)Pneumonia and Respiratory Infections (5 papers)
- Partner nations
- BrazilItalyPhilippines
In The Last Decade
Maria Célia Cervi
29 papers receiving 442 citations
Peers
Comparison fields: 5 of 82
- Epidemiology 264
- Infectious Diseases 142
- Molecular Biology 59
- Pulmonary and Respiratory Medicine 57
- Surgery 54
Countries citing papers authored by Maria Célia Cervi
This map shows the geographic impact of Maria Célia Cervi'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 Maria Célia Cervi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Célia Cervi more than expected).
Fields of papers citing papers by Maria Célia Cervi
This network shows the impact of papers produced by Maria Célia Cervi. 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 Maria Célia Cervi. The network helps show where Maria Célia Cervi may publish in the future.
Co-authorship network of co-authors of Maria Célia Cervi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Célia Cervi. A scholar is included among the top collaborators of Maria Célia Cervi 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 Maria Célia Cervi. Maria Célia Cervi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 19 | |
| 4 | 38 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 15 | |
| 8 | Nutritional assessment and lipid profile in HIV-infected children and adolescents treated with highly active antiretroviral therapy Avaliação nutricional e do perfil lipídico em crianças e adolescentes infectadas pelo HIV tratadas com terapia antirretroviral de alta potência | 0 |
| 9 | Non-invasive estimate of liver fibrosis prevalence and risk factors in Latin American perinatally HIV-infected children | 1 |
| 10 | 20 | |
| 11 | 38 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 23 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 36 | |
| 20 | 46 |
About Maria Célia Cervi
Maria Célia Cervi is a scholar working on Infectious Diseases, Emergency Medicine and Virology, having authored 30 papers that have together received 459 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (5 papers), Respiratory viral infections research (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Infectious Diseases (142 citations), Epidemiology (264 citations) and Virology (25 citations). Maria Célia Cervi has collaborated with scholars based in Brazil, Italy and Philippines. Frequent co-authors include Otávio Cintra, Marisa Márcia Mussi‐Pinhata, Geraldo Duarte, Eurico Arruda, Aparecida Yulie Yamamoto, Luíz Tadeu Moraes Figueiredo, Julius M. Liptak, Roberto Martínez, Viviane Cunha Cardoso and Marilda Mendonça Siqueira. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.