Diego Allonso

816 citations
30 papers · 596 · h-index 14

Impact in

Papers in

Diego Allonso

28 papers receiving 587 citations

Peers

Diego Allonso
Comparison fields: 5 of 85
  • Public Health, Environmental and Occupational Health 350
  • Infectious Diseases 228
  • Clinical Biochemistry 42
  • Virology 26
  • Immunology 91
Replace Astrid Leck with:
Astrid Leck United Kingdom
zhang zhang China
Raphael J. Eberle Brazil
Marie-Laure Chesne-Seck France
Clémentine Roucher Belgium
Mosayeb Rostamian Iran
Wouter T. M. Jansen Netherlands
Marcin Dembek United Kingdom
Aïda Sadikh Badiane Senegal
Michael J. Dagley Australia
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Citations per field
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Astrid Leck · 1×
Citations per year

Countries citing papers authored by Diego Allonso

Since Specialization
Citations

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

Fields of papers citing papers by Diego Allonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201578
3 201447
4 201342
5 201942
6 201237
7 202135
8 202132
9 201832
10 201126
11 201722
12 202318
13 202018
14 202313
15 201211
16 20199
17 20209
18 20218
19 20237
20 20236

About Diego Allonso

Diego Allonso is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Clinical Biochemistry and Computational Theory and Mathematics, having authored 30 papers that have together received 596 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (17 papers), Viral Infections and Vectors (7 papers), Malaria Research and Control (6 papers), Advanced Glycation End Products research (4 papers), Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vibrio bacteria research studies (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (350 citations), Infectious Diseases (228 citations), Clinical Biochemistry (42 citations), Virology (26 citations) and Immunology (91 citations). Diego Allonso has collaborated with scholars based in Brazil, United States and Czechia. Frequent co-authors include Ronaldo Mohana‐Borges, Jonas N. Conde, Diego R. Coelho, Manuela Leal da Silva, Luciano Neves de Medeiros, Susana Vázquez, Davis Ferreira, Marcelo Damião Ferreira de Meneses, María G. Guzmán and Carlos Augusto Fernandes. Their work appears in journals such as Scientific Reports, Journal of Virology, PLoS ONE, Journal of Clinical Virology and Computational and Structural Biotechnology Journal.

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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