Daniela Brites
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
Papers in
-
- Tuberculosis Research and Epidemiology 29
- Epidemiology 22
- Mycobacterium research and diagnosis 22
- Co-authors
- Sébastien Gagneux (30 shared papers)Fabrizio Menardo (5 shared papers)Louis Du Pasquier (5 shared papers)Chloé Loiseau (12 shared papers)Sònia Borrell (17 shared papers)Christian Beisel (6 shared papers)Mireia Coscollá (4 shared papers)Dieter Ebert (3 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Pathogens (2 papers)Epidemics (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Daniela Brites
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 840
- Epidemiology 657
- Immunology 237
- Molecular Medicine 56
- Microbiology 68
Countries citing papers authored by Daniela Brites
This map shows the geographic impact of Daniela Brites'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 Daniela Brites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Brites more than expected).
Fields of papers citing papers by Daniela Brites
This network shows the impact of papers produced by Daniela Brites. 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 Daniela Brites. The network helps show where Daniela Brites may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Brites, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 204 | |
| 2 | 2018 | 128 | |
| 3 | 2008 | 127 | |
| 4 | 2018 | 92 | |
| 5 | 2019 | 85 | |
| 6 | 2017 | 84 | |
| 7 | 2011 | 58 | |
| 8 | 2017 | 51 | |
| 9 | 2019 | 50 | |
| 10 | 2020 | 42 | |
| 11 | 2023 | 40 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2015 | 26 | |
| 16 | 2013 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2020 | 19 | |
| 20 | 2011 | 18 |
About Daniela Brites
Daniela Brites is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (29 papers), Mycobacterium research and diagnosis (22 papers), Genomics and Phylogenetic Studies (8 papers), Invertebrate Immune Response Mechanisms (6 papers), RNA and protein synthesis mechanisms (4 papers), Neurobiology and Insect Physiology Research (4 papers), Insect symbiosis and bacterial influences (4 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Infectious Diseases (840 citations), Epidemiology (657 citations), Immunology (237 citations), Molecular Medicine (56 citations) and Microbiology (68 citations). Daniela Brites has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Sébastien Gagneux, Fabrizio Menardo, Louis Du Pasquier, Chloé Loiseau, Sònia Borrell, Christian Beisel, Mireia Coscollá, Dieter Ebert, Sebastián Duchêne and Andrej Trauner. Their work appears in journals such as PLoS ONE, PLoS Pathogens, Epidemics, Antimicrobial Agents and Chemotherapy and PLoS neglected tropical diseases.
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.