Laëtitia Gardès

80 total papers · 1.4k total citations
33 papers, 870 citations indexed

About

Laëtitia Gardès is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Laëtitia Gardès has authored 33 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Agronomy and Crop Science and 17 papers in Infectious Diseases. Recurrent topics in Laëtitia Gardès's work include Vector-Borne Animal Diseases (23 papers), Animal Disease Management and Epidemiology (16 papers) and Viral Infections and Vectors (16 papers). Laëtitia Gardès is often cited by papers focused on Vector-Borne Animal Diseases (23 papers), Animal Disease Management and Epidemiology (16 papers) and Viral Infections and Vectors (16 papers). Laëtitia Gardès collaborates with scholars based in France, Morocco and United Kingdom. Laëtitia Gardès's co-authors include Claire Garros, Thomas Balenghien, Ignace Rakotoarivony, Xavier Allène, Thierry Baldet, Elvina Viennet, Renaud Lancelot, Jérémy Bouyer, Catherine Moulia and Didier Crochet and has published in prestigious journals such as PLoS ONE, Annals of Botany and PLoS neglected tropical diseases.

In The Last Decade

Laëtitia Gardès

32 papers receiving 855 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laëtitia Gardès	459	381	326	315	142	33	870
F. R. Holbrook	548 1.2×	353 0.9×	272 0.8×	372 1.2×	63 0.4×	41	841
A. L. Dyce	634 1.4×	369 1.0×	252 0.8×	383 1.2×	52 0.4×	37	779
Bruno Mathieu	743 1.6×	551 1.4×	237 0.7×	573 1.8×	39 0.3×	49	1.1k
Mourad Belhouchet	454 1.0×	260 0.7×	217 0.7×	670 2.1×	90 0.6×	16	961
T. Omori	380 0.8×	165 0.4×	148 0.5×	479 1.5×	117 0.8×	43	748
Gian Luca Autorino	392 0.9×	420 1.1×	100 0.3×	447 1.4×	83 0.6×	38	900
Karien Labuschagne	817 1.8×	578 1.5×	332 1.0×	560 1.8×	27 0.2×	45	1.0k
Nonito Pagès	430 0.9×	270 0.7×	133 0.4×	449 1.4×	58 0.4×	48	786
Ignace Rakotoarivony	452 1.0×	331 0.9×	216 0.7×	395 1.3×	28 0.2×	44	840
Carolina Probst	551 1.2×	658 1.7×	81 0.2×	363 1.2×	66 0.5×	37	963

Countries citing papers authored by Laëtitia Gardès

Since Specialization

Citations

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

Fields of papers citing papers by Laëtitia Gardès

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Gardès

This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Gardès. A scholar is included among the top collaborators of Laëtitia Gardès 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 Laëtitia Gardès. Laëtitia Gardès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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