Mathilde Bellon

433 citations
8 papers · 194 · h-index 5

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Mathilde Bellon

7 papers receiving 192 citations

Peers

Mathilde Bellon
Comparison fields: 5 of 50
  • Infectious Diseases 112
  • Neurology 73
  • Modeling and Simulation 17
  • Neurology 24
  • General Dentistry 3
Replace Karine Beiruti Wiegler with:
Karine Beiruti Wiegler Israel
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Marie H. Pahus Denmark
Robert B. Dorey United Kingdom
Anthea Mitchell United States
Felix Dewald Germany
Sang Hyun South Korea
Maria de Fátima Vasco Aragão Brazil
Dorsaf Slama France
Mathilde Bellon relative to Karine Beiruti Wiegler Israel Karine Beiruti Wiegler's profile →
Citations per field
00.5×
Karine Beiruti Wiegler · 1×
Citations per year

Countries citing papers authored by Mathilde Bellon

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Bellon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202074
2 202073
3 202319
4 202114
5 20227
6 20234
7
A point source dengue outbreak in Canadian tourists in Barbados.
19983
8 20250

About Mathilde Bellon

Mathilde Bellon is a scholar working on Infectious Diseases, Modeling and Simulation, Neurology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 194 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Long-Term Effects of COVID-19 (1 paper), Travel-related health issues (1 paper), Mosquito-borne diseases and control (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Infectious Diseases (112 citations), Neurology (73 citations), Modeling and Simulation (17 citations), Neurology (24 citations) and General Dentistry (3 citations). Mathilde Bellon has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Isabella Eckerle, Laurent Kaiser, Pascal Cherpillod, Nathalie Lambeng, Patrice H. Lalive, Christine Deffert, Manuel Schibler, Arnaud G. L’Huillier, Stéphanie Baggio and Sabine Yerly. Their work appears in journals such as Clinical Infectious Diseases, PLoS ONE, Nature Communications, EBioMedicine and PubMed.

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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