Uriel Kitron

77 papers receiving 4.4k citations

Peers

Uriel Kitron
Comparison fields: 5 of 108
  • Parasitology 891
  • Infectious Diseases 2.0k
  • Public Health, Environmental and Occupational Health 2.9k
  • Insect Science 876
  • Modeling and Simulation 298
Replace Gabriel L. Hamer with:
Gabriel L. Hamer United States
Gonzalo M. Vazquez‐Prokopec United States
Roberto Rosà Italy
Douglas Eric Norris United States
Guy F. M. Hendrickx Belgium
Anna E. Jolles United States
Nicole Lynn Gottdenker United States
Javier Lucientes Spain
Marilyn O. Ruiz United States
Dawn M. Wesson United States
Uriel Kitron relative to Gabriel L. Hamer United States Gabriel L. Hamer's profile →
Citations per field
00.5×1.5×
Gabriel L. Hamer · 1×
Citations per year

Countries citing papers authored by Uriel Kitron

Since Specialization
Citations

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

Fields of papers citing papers by Uriel Kitron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009326
2 1998292
3 2002282
4 2010219
5 2008216
6 2008178
7 2010149
8 2011135
9 2007133
10 2006124
11 2011109
12 2011107
13 2011100
14 200898
15 200097
16 201193
17 201381
18 200481
19 200880
20 200470

About Uriel Kitron

Uriel Kitron is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Insect Science, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 77 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (43 papers), Viral Infections and Vectors (32 papers), Insect symbiosis and bacterial influences (14 papers), Malaria Research and Control (12 papers), Trypanosoma species research and implications (12 papers), Insect-Plant Interactions and Control (10 papers), Vector-borne infectious diseases (9 papers) and Insect Pest Control Strategies (7 papers). The work is most often cited by research in Parasitology (891 citations), Infectious Diseases (2.0k citations), Public Health, Environmental and Occupational Health (2.9k citations), Insect Science (876 citations) and Modeling and Simulation (298 citations). Uriel Kitron has collaborated with scholars based in United States, Argentina and Brazil. Frequent co-authors include Edward D. Walker, Marilyn O. Ruiz, Gabriel L. Hamer, Tony L. Goldberg, Jeffrey D. Brawn, Scott R. Loss, Luis Fernando Chaves, Ricardo E. Gürtler, William Marshall Brown and Juan M. Gurevitz. Their work appears in journals such as Journal of Medical Entomology, Vector-Borne and Zoonotic Diseases, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases and Parasites & Vectors.

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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