Kyle Ryff

29 papers receiving 602 citations

Peers

Kyle Ryff
Comparison fields: 5 of 63
  • Infectious Diseases 389
  • Modeling and Simulation 83
  • Public Health, Environmental and Occupational Health 466
  • Parasitology 60
  • Insect Science 62
Replace Ana Carolina Bernardes Terzian with:
Ana Carolina Bernardes Terzian Brazil
Ingrid B. Rabe United States
Rome Buathong Thailand
Danai Pervanidou Greece
M. P. Mammen United States
Luisa I. Alvarado Puerto Rico
Natalie Kwit United States
Rogério Valls de Souza Brazil
Eleonora Benedetti Italy
José Luis San Martín United States
Kyle Ryff relative to Ana Carolina Bernardes Terzian Brazil Ana Carolina Bernardes Terzian's profile →
Citations per field
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Ana Carolina Bernardes Terzian · 1×
Citations per year

Countries citing papers authored by Kyle Ryff

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Ryff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Ryff, 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 Kyle Ryff Line = papers co-authored together Kyle Ryff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201679
3 201658
4 201551
5 201638
6 201437
7 201934
8 201627
9 201925
10 201922
11 202119
12 201919
13 202316
14 202014
15 202213
16 201813
17 201910
18 20179
19 20247
20 20207

About Kyle Ryff

Kyle Ryff is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation and Sociology and Political Science, having authored 31 papers that have together received 625 indexed citations. Recurring topics across this work include Viral Infections and Vectors (21 papers), Mosquito-borne diseases and control (19 papers), Malaria Research and Control (9 papers), COVID-19 epidemiological studies (5 papers), Leptospirosis research and findings (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Insect symbiosis and bacterial influences (2 papers) and Burkholderia infections and melioidosis (2 papers). The work is most often cited by research in Infectious Diseases (389 citations), Modeling and Simulation (83 citations), Public Health, Environmental and Occupational Health (466 citations), Parasitology (60 citations) and Insect Science (62 citations). Kyle Ryff has collaborated with scholars based in Puerto Rico, United States and Uganda. Frequent co-authors include Tyler M. Sharp, Brenda Rivera-García, Jorge L. Muñoz‐Jordán, Harold S. Margolis, Stephen H. Waterman, Laura E. Adams, Gabriela Paz‐Bailey, Matthew Lozier, Dana Thomas and Miguel Valencia‐Prado. Their work appears in journals such as PLoS neglected tropical diseases, MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, The Journal of Infectious Diseases and PLoS Currents.

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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