Diégo Ayala
Impact in
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- Mosquito-borne diseases and control
- Malaria Research and Control
- Insect Science top 1%
- Insect symbiosis and bacterial influences
Papers in
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- Mosquito-borne diseases and control 40
- Malaria Research and Control 27
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- Insect symbiosis and bacterial influences 15
- Co-authors
- Carlo Costantini (15 shared papers)Didier Fontenille (12 shared papers)Frédéric Simard (12 shared papers)Christophe Paupy (20 shared papers)Marco Pombi (7 shared papers)Nora J. Besansky (5 shared papers)Nil Rahola (19 shared papers)Kenji Osé (3 shared papers)
- Journals
- Parasites & Vectors (6 papers)Evolutionary Applications (5 papers)Scientific Reports (4 papers)Molecular Ecology (4 papers)Ecology and Evolution (3 papers)
- Partner nations
- FranceGabonUnited States
In The Last Decade
Diégo Ayala
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 86
- Public Health, Environmental and Occupational Health 1.3k
- Insect Science 540
- Parasitology 138
- Infectious Diseases 236
- Genetics 356
Countries citing papers authored by Diégo Ayala
This map shows the geographic impact of Diégo Ayala'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 Diégo Ayala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diégo Ayala more than expected).
Fields of papers citing papers by Diégo Ayala
This network shows the impact of papers produced by Diégo Ayala. 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 Diégo Ayala. The network helps show where Diégo Ayala may publish in the future.
Co-authors
The 25 scholars most cited alongside Diégo Ayala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 198 | |
| 2 | 2020 | 173 | |
| 3 | 2009 | 166 | |
| 4 | 2017 | 155 | |
| 5 | 2009 | 96 | |
| 6 | 2012 | 76 | |
| 7 | 2014 | 72 | |
| 8 | 2014 | 60 | |
| 9 | 2010 | 58 | |
| 10 | 2022 | 58 | |
| 11 | 2021 | 56 | |
| 12 | 2019 | 55 | |
| 13 | 2015 | 51 | |
| 14 | 2020 | 48 | |
| 15 | 2018 | 48 | |
| 16 | 2018 | 45 | |
| 17 | 2011 | 45 | |
| 18 | 2016 | 44 | |
| 19 | 2016 | 42 | |
| 20 | 2021 | 39 |
About Diégo Ayala
Diégo Ayala is a scholar working on Public Health, Environmental and Occupational Health, Insect Science, Infectious Diseases, Molecular Biology and Genetics, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (40 papers), Malaria Research and Control (27 papers), Insect symbiosis and bacterial influences (15 papers), Insect Resistance and Genetics (9 papers), Viral Infections and Vectors (8 papers), Vector-borne infectious diseases (6 papers), Genetic diversity and population structure (5 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.3k citations), Insect Science (540 citations), Parasitology (138 citations), Infectious Diseases (236 citations) and Genetics (356 citations). Diégo Ayala has collaborated with scholars based in France, Gabon and United States. Frequent co-authors include Carlo Costantini, Didier Fontenille, Frédéric Simard, Christophe Paupy, Marco Pombi, Nora J. Besansky, Nil Rahola, Kenji Osé, Pierre Kengne and Wamdaogo M. Guelbéogo. Their work appears in journals such as Parasites & Vectors, Evolutionary Applications, Scientific Reports, Molecular Ecology and Ecology and Evolution.
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.