Nathalie Vachiéry

1.6k citations
68 papers · 998 indexed · h-index 19

Nathalie Vachiéry

63 papers receiving 967 citations

Peers

Nathalie Vachiéry
Comparison fields: 5 of 67
  • Parasitology 527
  • Infectious Diseases 358
  • Insect Science 211
  • Endocrinology 81
  • Microbiology 84
Replace Katja Mertens‐Scholz with:
Katja Mertens‐Scholz Germany
Dominique Martinez France
Mohammed A. Bakheit Germany
Frédéric Stachurski France
Henri-Jean Boulouis France
Andy Alhassan Japan
Raquel Escudero Spain
Lorraine Michelet France
J E Barlough United States
Hélder Cortes Portugal
Nathalie Vachiéry relative to Katja Mertens‐Scholz Germany Katja Mertens‐Scholz's profile →
Citations per field
00.5×1.5×1.8×
Katja Mertens‐Scholz · 1×
Citations per year

Countries citing papers authored by Nathalie Vachiéry

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Vachiéry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20221
3 20201
4 20186
5 20185
6 201670
7 201614
8 201514
9 20143
10
Establishment of heartwater surveillance in an enzootic situation: example in Guadeloupe, French West Indies.
20110
11 20108
12 200920
13 200917
14
Amblyomma variegatum ticks and heartwater on three Caribbean Islands
20081
15 20080
16 20087
17 20073
18 200720
19 19997
20 19988

About Nathalie Vachiéry

Nathalie Vachiéry is a scholar working on Parasitology, Microbiology and Endocrinology, having authored 68 papers that have together received 998 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (40 papers), Viral Infections and Vectors (15 papers), Vector-Borne Animal Diseases (13 papers), Mosquito-borne diseases and control (12 papers), Insect symbiosis and bacterial influences (11 papers), Animal Disease Management and Epidemiology (8 papers), Plant Virus Research Studies (7 papers) and Microbial infections and disease research (7 papers). The work is most often cited by research in Parasitology (527 citations), Infectious Diseases (358 citations) and Insect Science (211 citations). Nathalie Vachiéry has collaborated with scholars based in France, Guadeloupe and Burkina Faso. Frequent co-authors include Thierry Lefrançois, Dominique Martinez, Damien F. Meyer, Isabel Marcelino, Valérie Pinarello, Albert Bensaïd, Sophie Molia, Frédéric Stachurski, Roger Frutos and Rosalie Aprelon. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

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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