Läétitia Ninove

3.5k citations
78 papers · 1.8k indexed · h-index 26
Topics
Viral Infections and Vectors (19 papers)Influenza Virus Research Studies (16 papers)Mosquito-borne diseases and control (16 papers)

In The Last Decade

Läétitia Ninove

78 papers receiving 1.8k citations

Peers

Läétitia Ninove
Comparison fields: 5 of 104
  • Infectious Diseases 1.1k
  • Epidemiology 699
  • Public Health, Environmental and Occupational Health 554
  • Molecular Biology 169
  • Health 158
Replace I‐Ching Sam with:
I‐Ching Sam Malaysia
Doris Altmann Germany
Rory Gunson United Kingdom
Stefano Boros Italy
Erica Dueger United States
Todd F. Hatchette Canada
Youngmee Jee South Korea
Nobuhiko Okabe Japan
Vishal Kapoor United States
Katie Ewer United Kingdom
Läétitia Ninove relative to I‐Ching Sam Malaysia I‐Ching Sam's profile →
Citations per field
00.5×1.5×
I‐Ching Sam · 1×
Citations per year

Countries citing papers authored by Läétitia Ninove

Since Specialization
Citations

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

Fields of papers citing papers by Läétitia Ninove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Läétitia Ninove

This figure shows the co-authorship network connecting the top 25 collaborators of Läétitia Ninove. A scholar is included among the top collaborators of Läétitia Ninove based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Läétitia Ninove. Läétitia Ninove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 15
3 5
4
BNT162b2 mRNA Covid-19 Vaccine in AYA with cancer: a monocentric experience
2
5 9
6 18
7 6
8 14
9 44
10 19
11 2
12 11
13 17
14 27
15 71
16 10
17 42
18 22
19 3
20 19

About Läétitia Ninove

Läétitia Ninove is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (19 papers), Influenza Virus Research Studies (16 papers) and Mosquito-borne diseases and control (16 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Virology (135 citations) and Modeling and Simulation (129 citations). Läétitia Ninove has collaborated with scholars based in France, United States and Burkina Faso. Frequent co-authors include Xavier de Lamballerie, Rémi N. Charrel, Christine Zandotti, Antoine Nougaırède, Didier Raoult, Nicolas Salez, Céline Gazin, Laurence Thirion, Boris Pastorino and Philippe Gautret. Their work appears in journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.

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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