Mathilde Paul

1.7k citations
76 papers · 1.1k · h-index 20

Impact in

Papers in

Mathilde Paul

72 papers receiving 1.1k citations

Peers

Mathilde Paul
Comparison fields: 5 of 95
  • Agronomy and Crop Science 636
  • Infectious Diseases 400
  • Modeling and Simulation 86
  • Applied Microbiology and Biotechnology 33
  • Epidemiology 549
Replace Guillaume Fournié with:
Guillaume Fournié United Kingdom
Joerg Henning Australia
Nitish Debnath Bangladesh
Paritosh Kumar Biswas Bangladesh
Flavie Goutard France
Timothée Vergne France
Paul R. Bessell United Kingdom
Pascal Hendrikx France
Wantanee Kalpravidh Thailand
Weerapong Thanapongtharm Thailand
Mathilde Paul relative to Guillaume Fournié United Kingdom Guillaume Fournié's profile →
Citations per field
00.5×1.5×
Guillaume Fournié · 1×
Citations per year

Countries citing papers authored by Mathilde Paul

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200983
2 201160
3 201848
4 202048
5 201938
6 201638
7 201338
8 202038
9 201337
10 202133
11 201432
12
[Potential risk factors for Toxoplasma gondii infection in cases with recently acquired toxoplasmosis].
199829
13 201828
14 202423
15 202223
16 202023
17 201922
18 202021
19 202120
20 201920

About Mathilde Paul

Mathilde Paul is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Animal Science and Zoology and Pollution, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (47 papers), Influenza Virus Research Studies (31 papers), Viral Infections and Vectors (18 papers), Livestock and Poultry Management (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Zoonotic diseases and public health (6 papers), COVID-19 epidemiological studies (6 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Agronomy and Crop Science (636 citations), Infectious Diseases (400 citations), Modeling and Simulation (86 citations), Applied Microbiology and Biotechnology (33 citations) and Epidemiology (549 citations). Mathilde Paul has collaborated with scholars based in France, Thailand and United Kingdom. Frequent co-authors include Jean‐Luc Guérin, Claire Guinat, Christian Ducrot, François Roger, Weerapong Thanapongtharm, Mattias Delpont, Marius Gilbert, Timothée Vergne, Chaithep Poolkhet and Jean‐Pierre Vaillancourt. Their work appears in journals such as Preventive Veterinary Medicine, Transboundary and Emerging Diseases, PLoS ONE, Veterinary Research 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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