Kate Doyle

15 papers receiving 587 citations

Hit Papers

Persistence of Zika Virus in Body Fluids — Final Report20172026202020232017100200300

Peers

Kate Doyle
Comparison fields: 5 of 76
  • Public Health, Environmental and Occupational Health 419
  • Infectious Diseases 394
  • Epidemiology 169
  • Modeling and Simulation 63
  • General Health Professions 45
Replace SagarC Galwankar with:
SagarC Galwankar United States
Ana Paula Lopes de Melo Brazil
Jane Y. Carter Kenya
Marília Lavocat Nunes Brazil
Teegwendé Valérie Porgo Canada
Mayumi Duarte Wakimoto Brazil
Brenda Rivera-García Puerto Rico
Olivier Rollot France
Marcos Vinícius da Silva Pone Brazil
Saulo Duarte Passos Brazil
Kate Doyle relative to SagarC Galwankar United States SagarC Galwankar's profile →
Citations per field
00.5×4.4×
SagarC Galwankar · 1×
Citations per year

Countries citing papers authored by Kate Doyle

Since Specialization
Citations

This map shows the geographic impact of Kate Doyle'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 Kate Doyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Doyle more than expected).

Fields of papers citing papers by Kate Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Doyle. 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 Kate Doyle. The network helps show where Kate Doyle may publish in the future.

Co-authorship network of co-authors of Kate Doyle

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Doyle. A scholar is included among the top collaborators of Kate Doyle 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 Kate Doyle. Kate Doyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 35
2 17
3
Novel Integration of Clinical Research Data Collection with Intervention Softwares: Implementation in Two Community Resource Referral Trials.
1
4 2
5 2
6 6
7 15
8 37
9 21
10
HIV Infection, Risk, Prevention, and Testing Behaviors Among Heterosexuals at Increased Risk for HIV Infection: National HIV Behavioral Surveillance, 17 U.S. Cities, 2016
10
11 2
12 39
13 20
14
Persistence of Zika Virus in Body Fluids — Final Reportbreakdown →
347
15 47

About Kate Doyle

Kate Doyle is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 601 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (5 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Infectious Diseases (394 citations), Public Health, Environmental and Occupational Health (419 citations) and Modeling and Simulation (63 citations). Kate Doyle has collaborated with scholars based in United States, Puerto Rico and Uganda. Frequent co-authors include Gabriela Paz‐Bailey, Tyler M. Sharp, Eli S. Rosenberg, Jorge L. Muñoz‐Jordán, Luisa I. Alvarado, Matthew Lozier, Laura E. Adams, Liore Klein, Gilberto A. Santiago and Freddy A. Medina. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and The Journal of Infectious 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026