Maylis Douine

2.0k citations
81 papers · 1.3k · h-index 18

Impact in

Papers in

Maylis Douine

72 papers receiving 1.2k citations

Peers

Maylis Douine
Comparison fields: 5 of 97
  • Public Health, Environmental and Occupational Health 715
  • Infectious Diseases 291
  • Parasitology 90
  • Modeling and Simulation 55
  • Epidemiology 180
Replace Ruth Aralí Martínez-Vega with:
Ruth Aralí Martínez-Vega Colombia
Pablo Chaparro Colombia
Brenda Rivera-García United States
Charsey Cole Porse United States
Cássia Fernanda Estofolete Brazil
Dirk Haselow United States
Claude Flamand France
Aglaêr Alves da Nóbrega Brazil
Sylvain Aldighieri United States
Francisco Saúte Mozambique
Maylis Douine relative to Ruth Aralí Martínez-Vega Colombia Ruth Aralí Martínez-Vega's profile →
Citations per field
00.5×1.5×1.8×
Ruth Aralí Martínez-Vega · 1×
Citations per year

Countries citing papers authored by Maylis Douine

Since Specialization
Citations

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

Fields of papers citing papers by Maylis Douine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018258
2 201790
3 201683
4 202072
5 202048
6 201845
7 201739
8 202132
9 201731
10 202130
11 202127
12 201527
13 201925
14 201922
15 202020
16 202218
17 201618
18 202118
19 201718
20 202116

About Maylis Douine

Maylis Douine is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Malaria Research and Control (21 papers), Mosquito-borne diseases and control (19 papers), Zoonotic diseases and public health (10 papers), Viral Infections and Vectors (6 papers), Cervical Cancer and HPV Research (6 papers), Global Maternal and Child Health (6 papers), Migration, Identity, and Health (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (715 citations), Infectious Diseases (291 citations), Parasitology (90 citations), Modeling and Simulation (55 citations) and Epidemiology (180 citations). Maylis Douine has collaborated with scholars based in French Guiana, France and Brazil. Frequent co-authors include Mathieu Nacher, Antoine A. Adenis, L. Musset, Magalie Demar, Stephen Vreden, Hélène Hiwat, Loïc Epelboin, Alice Sanna, Yann Lambert and Félix Djossou. Their work appears in journals such as Malaria Journal, BMC Public Health, Frontiers in Public Health, PLoS neglected tropical diseases and Vaccines.

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