Diana P. Rojas
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 5%
- Modeling and Simulation top 0.5%
- Epidemiology
- Insect Science top 5%
- Co-authors
- Ira M. LonginiM. Elizabeth HalloranLuis VillarElsa SartiAdeshina I. AdekunleEmma S. McBrydeMichael T. MeehanOyelola A. Adegboye
- Topics
- Mosquito-borne diseases and control (24 papers)Viral Infections and Vectors (16 papers)COVID-19 epidemiological studies (13 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
Diana P. Rojas
28 papers receiving 983 citations
Peers
Comparison fields: 5 of 90
- Public Health, Environmental and Occupational Health 710
- Infectious Diseases 504
- Modeling and Simulation 373
- Epidemiology 117
- Insect Science 111
Countries citing papers authored by Diana P. Rojas
This map shows the geographic impact of Diana P. Rojas'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 Diana P. Rojas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana P. Rojas more than expected).
Fields of papers citing papers by Diana P. Rojas
This network shows the impact of papers produced by Diana P. Rojas. 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 Diana P. Rojas. The network helps show where Diana P. Rojas may publish in the future.
Co-authorship network of co-authors of Diana P. Rojas
This figure shows the co-authorship network connecting the top 25 collaborators of Diana P. Rojas. A scholar is included among the top collaborators of Diana P. Rojas 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 Diana P. Rojas. Diana P. Rojas 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 | 5 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 49 | |
| 9 | 40 | |
| 10 | 43 | |
| 11 | 34 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 40 | |
| 16 | 23 | |
| 17 | 13 | |
| 18 | 40 | |
| 19 | 38 | |
| 20 | 116 |
About Diana P. Rojas
Diana P. Rojas is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (24 papers), Viral Infections and Vectors (16 papers) and COVID-19 epidemiological studies (13 papers). The work is most often cited by research in Modeling and Simulation (373 citations), Infectious Diseases (504 citations) and Public Health, Environmental and Occupational Health (710 citations). Diana P. Rojas has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Ira M. Longini, M. Elizabeth Halloran, Luis Villar, Elsa Sarti, Adeshina I. Adekunle, Emma S. McBryde, Michael T. Meehan, Oyelola A. Adegboye, Natalie E. Dean and Stefano Merler. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.