Dionne Bezerra Rolim
- Epidemiology top 2%
- Biomedical Engineering top 10%
- Infectious Diseases
- Small Animals top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Timothy J. J. InglisDavid A. B. DanceSimon I HayDirek LimmathurotsakulJane P. MessinaNicholas DayCatherine L. MoyesDavid M. Pigott
- Topics
- Burkholderia infections and melioidosis (13 papers)Chemical Looping and Thermochemical Processes (3 papers)Infections and bacterial resistance (2 papers)
- Journals
- Emerging infectious diseasesAmerican Journal of Tropical Medicine and HygieneNature Microbiology
- Partner nations
- BrazilAustraliaUnited States
In The Last Decade
Dionne Bezerra Rolim
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Epidemiology 1.0k
- Biomedical Engineering 336
- Infectious Diseases 101
- Small Animals 99
- Public Health, Environmental and Occupational Health 75
Countries citing papers authored by Dionne Bezerra Rolim
This map shows the geographic impact of Dionne Bezerra Rolim'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 Dionne Bezerra Rolim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionne Bezerra Rolim more than expected).
Fields of papers citing papers by Dionne Bezerra Rolim
This network shows the impact of papers produced by Dionne Bezerra Rolim. 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 Dionne Bezerra Rolim. The network helps show where Dionne Bezerra Rolim may publish in the future.
Co-authorship network of co-authors of Dionne Bezerra Rolim
This figure shows the co-authorship network connecting the top 25 collaborators of Dionne Bezerra Rolim. A scholar is included among the top collaborators of Dionne Bezerra Rolim 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 Dionne Bezerra Rolim. Dionne Bezerra Rolim 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 | 8 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | 36 | |
| 6 | Predicted global distribution of Burkholderia pseudomallei and burden of melioidosisbreakdown → | 693 |
| 7 | 55 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 49 | |
| 11 | 50 | |
| 12 | Melioidosis in the Americas. | 63 |
| 13 | 2 | |
| 14 | 84 |
About Dionne Bezerra Rolim
Dionne Bezerra Rolim is a scholar working on Epidemiology, Endocrinology and Small Animals, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (13 papers), Chemical Looping and Thermochemical Processes (3 papers) and Infections and bacterial resistance (2 papers). The work is most often cited by research in Epidemiology (1.0k citations), Small Animals (99 citations) and Biomedical Engineering (336 citations). Dionne Bezerra Rolim has collaborated with scholars based in Brazil, Australia and United States. Frequent co-authors include Timothy J. J. Inglis, David A. B. Dance, Simon I Hay, Direk Limmathurotsakul, Jane P. Messina, Nicholas Day, Catherine L. Moyes, David M. Pigott, Sharon J. Peacock and Nick Golding. Their work appears in journals such as Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene and Nature Microbiology.
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.