Oumar Faye

10.2k citations
194 papers · 4.9k indexed · 2 hit papers · h-index 33

Oumar Faye

175 papers receiving 4.7k citations

Hit Papers

Molecular Evolution of Zika Virus during Its Emergence in...5822013202620172021100200300400500

Peers

Oumar Faye
Comparison fields: 5 of 124
  • Infectious Diseases 2.6k
  • Public Health, Environmental and Occupational Health 3.5k
  • Modeling and Simulation 292
  • Parasitology 268
  • Insect Science 430
Replace Ousmane Faye with:
Ousmane Faye Senegal
Ousmane Faye Senegal
Valérie Caro France
Antônio Tenório Spain
Chantal Reusken Netherlands
Harvey Artsob Canada
Cynthia S. Goldsmith United States
Jan Felix Drexler Germany
Bruno Guy France
Matthias Niedrig Germany
Oumar Faye relative to Ousmane Faye Senegal Ousmane Faye's profile →
Citations per field
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Ousmane Faye · 1×
Citations per year

Countries citing papers authored by Oumar Faye

Since Specialization
Citations

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

Fields of papers citing papers by Oumar Faye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20250
4 20241
5 20241
6 20230
7 20236
8 20230
9 202250
10 202128
11 20216
12 20200
13 20202
14 20204
15 201839
16 20157
17
Distribution of the members of Anopheles gambiae and pyrethroid knock-down resistance gene (kdr) in Guinea-Bissau, West Africa.
200825
18
Prévention de l’infection en milieu chirurgical dans les hôpitaux régionaux du Sénégal
20001
19
[Malaria in the central health district of Dakar (Senegal). Entomological, parasitological and clinical data].
200021
20
Drought and malaria retreat in the Sahel West Africa [letter]
19966

About Oumar Faye

Oumar Faye is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Parasitology, having authored 194 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (93 papers), Viral Infections and Vectors (80 papers), Malaria Research and Control (57 papers), Viral Infections and Outbreaks Research (36 papers), Insect symbiosis and bacterial influences (11 papers), Dengue and Mosquito Control Research (9 papers), Agriculture and Rural Development Research (8 papers) and Fire effects on ecosystems (7 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Public Health, Environmental and Occupational Health (3.5k citations) and Modeling and Simulation (292 citations). Oumar Faye has collaborated with scholars based in Senegal, France and Germany. Frequent co-authors include Amadou Alpha Sall, Mawlouth Diallo, Ousmane Faye, Manfred Weidmann, Ousmane Faye, Diawo Diallo, Amadou A. Sall, Scott C. Weaver, Caio C. M. Freire and Paolo M. A. Zanotto. Their work appears in journals such as Nature, The Lancet and Nature Communications.

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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