Waldely O. Dias
- Epidemiology top 10%
- Immunology
- Microbiology top 2%
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Luciana C. C. LeiteEliane N. MiyajiIsaı́as RawMartha M. TanizakiPaulo Lee HoIvan P. NascimentoNathalie WinterBrigitte Gicquel
- Topics
- Bacterial Infections and Vaccines (12 papers)Pneumonia and Respiratory Infections (10 papers)Tuberculosis Research and Epidemiology (6 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsInfection and ImmunityFrontiers in Immunology
- Partner nations
- BrazilFranceUnited States
In The Last Decade
Waldely O. Dias
24 papers receiving 554 citations
Peers
Comparison fields: 5 of 58
- Epidemiology 278
- Immunology 196
- Microbiology 172
- Infectious Diseases 172
- Molecular Biology 96
Countries citing papers authored by Waldely O. Dias
This map shows the geographic impact of Waldely O. Dias'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 Waldely O. Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waldely O. Dias more than expected).
Fields of papers citing papers by Waldely O. Dias
This network shows the impact of papers produced by Waldely O. Dias. 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 Waldely O. Dias. The network helps show where Waldely O. Dias may publish in the future.
Co-authorship network of co-authors of Waldely O. Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Waldely O. Dias. A scholar is included among the top collaborators of Waldely O. Dias 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 Waldely O. Dias. Waldely O. Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 31 | |
| 4 | 25 | |
| 5 | 17 | |
| 6 | 22 | |
| 7 | 41 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 50 | |
| 12 | 18 | |
| 13 | 45 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 35 | |
| 17 | 2 | |
| 18 | 34 | |
| 19 | 31 | |
| 20 | A Bordetella pertussis acellular vaccine candidate: antigenic characterization and antibody induction. | 3 |
About Waldely O. Dias
Waldely O. Dias is a scholar working on Microbiology, Infectious Diseases and Parasitology, having authored 24 papers that have together received 565 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (12 papers), Pneumonia and Respiratory Infections (10 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Microbiology (172 citations), Infectious Diseases (172 citations) and Immunology (196 citations). Waldely O. Dias has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Luciana C. C. Leite, Eliane N. Miyaji, Isaı́as Raw, Martha M. Tanizaki, Paulo Lee Ho, Ivan P. Nascimento, Nathalie Winter, Brigitte Gicquel, Wagner Quintilio and Rino Rappuoli. Their work appears in journals such as Biochemical and Biophysical Research Communications, Infection and Immunity and Frontiers in Immunology.
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.