Maïté Aubry

1.7k citations
43 papers · 1.0k · h-index 17

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • COVID-19 epidemiological studies

Papers in

Maïté Aubry

40 papers receiving 977 citations

Peers

Maïté Aubry
Comparison fields: 5 of 85
  • Infectious Diseases 749
  • Modeling and Simulation 134
  • Public Health, Environmental and Occupational Health 795
  • Endocrinology 31
  • Management of Technology and Innovation 41
Replace Cássia Fernanda Estofolete with:
Cássia Fernanda Estofolete Brazil
Luis Villar Colombia
Sumadhya Deepika Fernando Sri Lanka
Ananda Wijewickrama Sri Lanka
Henri‐Pierre Mallet France
Nivedita Gupta India
Pik Pin Goh Malaysia
Laksiri Gomes Sri Lanka
Sory Ibrahim Diawara Mali
Dominique Eyrolle‐Guignot France
Maïté Aubry relative to Cássia Fernanda Estofolete Brazil Cássia Fernanda Estofolete's profile →
Citations per field
00.5×10.3×
Cássia Fernanda Estofolete · 1×
Citations per year

Countries citing papers authored by Maïté Aubry

Since Specialization
Citations

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

Fields of papers citing papers by Maïté Aubry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017135
2 2015110
3 2015106
4 201887
5 201655
6 201745
7 202042
8 201541
9 201838
10 201434
11 201229
12 201828
13 201828
14 201727
15 201722
16 201920
17 201716
18 201715
19 201715
20 201914

About Maïté Aubry

Maïté Aubry is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Epidemiology and Sociology and Political Science, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (35 papers), Viral Infections and Vectors (28 papers), Malaria Research and Control (15 papers), COVID-19 epidemiological studies (9 papers), Virology and Viral Diseases (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (4 papers) and Zoonotic diseases and public health (3 papers). The work is most often cited by research in Infectious Diseases (749 citations), Modeling and Simulation (134 citations), Public Health, Environmental and Occupational Health (795 citations), Endocrinology (31 citations) and Management of Technology and Innovation (41 citations). Maïté Aubry has collaborated with scholars based in French Polynesia, France and United States. Frequent co-authors include Didier Musso, Van‐Mai Cao‐Lormeau, Julien Broult, Anita Teissier, Claudine Roche, Sylvie Paulous, Philippe Desprès, Vaea Richard, Jennifer Green and Marion C. Lanteri. Their work appears in journals such as International Journal of Infectious Diseases, Emerging infectious diseases, Transfusion, Nature Communications and Eurosurveillance.

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