Diana P. Rojas

2.4k citations
30 papers · 1.0k indexed · h-index 17

Diana P. Rojas

28 papers receiving 983 citations

Peers

Diana P. Rojas
Comparison fields: 5 of 90
  • Modeling and Simulation 373
  • Infectious Diseases 504
  • Public Health, Environmental and Occupational Health 710
  • Insect Science 111
  • Business and International Management 8
Replace Hannah Clapham with:
Hannah Clapham Singapore
Mikkel Quam Sweden
Joséfina Coloma United States
Florisneide Rodrigues Barreto Brazil
Edward A. Wenger United States
João Bosco Siqueira Brazil
Neeraj Bedi Australia
Mabel Carabalí Canada
Claude Flamand France
Ross M. Boyce United States
Diana P. Rojas relative to Hannah Clapham Singapore Hannah Clapham's profile →
Citations per field
00.5×1.5×
Hannah Clapham · 1×
Citations per year

Countries citing papers authored by Diana P. Rojas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Diana P. Rojas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diana P. Rojas Line = papers co-authored together Diana P. Rojas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 202317
5 202312
6 20223
7 202125
8 202149
9 202040
10 201943
11 201934
12 20199
13 201810
14 20189
15 201840
16 201823
17 201613
18 201640
19 201638
20 2015116

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), COVID-19 epidemiological studies (13 papers), Malaria Research and Control (11 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Insect symbiosis and bacterial influences (3 papers), Virology and Viral Diseases (2 papers) and Viral Infections and Outbreaks Research (2 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 PLoS neglected tropical diseases, Nature Communications, American Journal of Tropical Medicine and Hygiene, BMC Infectious Diseases and Paediatric Respiratory Reviews.

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.

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