Laëtitia Fabre

59 total papers · 2.0k total citations
35 papers, 1.2k citations indexed

About

Laëtitia Fabre is a scholar working on Food Science, Endocrinology and Molecular Medicine. According to data from OpenAlex, Laëtitia Fabre has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Food Science, 21 papers in Endocrinology and 20 papers in Molecular Medicine. Recurrent topics in Laëtitia Fabre's work include Salmonella and Campylobacter epidemiology (25 papers), Antibiotic Resistance in Bacteria (20 papers) and Vibrio bacteria research studies (11 papers). Laëtitia Fabre is often cited by papers focused on Salmonella and Campylobacter epidemiology (25 papers), Antibiotic Resistance in Bacteria (20 papers) and Vibrio bacteria research studies (11 papers). Laëtitia Fabre collaborates with scholars based in France, Belgium and United States. Laëtitia Fabre's co-authors include François‐Xavier Weill, Patrick A. D. Grimont, Simon Le Hello, Axel Cloeckaert, Marie Demartin, Sylvie Issenhuth-Jeanjean, Benoît Doublet, Vincent Cattoir, Renaud Lailler and María Pardos de la Gándara and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Laëtitia Fabre

35 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Laëtitia Fabre 729 625 529 255 236 35 1.2k
E. Chaslus-Dancla 745 1.0× 857 1.4× 401 0.8× 267 1.0× 259 1.1× 40 1.5k
Martin Day 647 0.9× 712 1.1× 640 1.2× 156 0.6× 198 0.8× 29 1.4k
Susanne Karlsmose Pedersen 823 1.1× 682 1.1× 466 0.9× 214 0.8× 175 0.7× 21 1.4k
Anna Maria Dionisi 935 1.3× 610 1.0× 473 0.9× 156 0.6× 247 1.0× 50 1.4k
Sylvie Baucheron 693 1.0× 919 1.5× 465 0.9× 272 1.1× 206 0.9× 29 1.4k
Shengli Xia 482 0.7× 528 0.8× 500 0.9× 257 1.0× 131 0.6× 48 1.3k
Karine Praud 600 0.8× 746 1.2× 378 0.7× 148 0.6× 193 0.8× 23 1.0k
Hazem Ramadan 425 0.6× 477 0.8× 298 0.6× 241 0.9× 142 0.6× 68 1.1k
Judit Pászti 357 0.5× 613 1.0× 354 0.7× 274 1.1× 140 0.6× 46 1.1k
Dariusz Wasyl 705 1.0× 687 1.1× 351 0.7× 225 0.9× 151 0.6× 84 1.4k

Countries citing papers authored by Laëtitia Fabre

Since Specialization
Citations

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

Fields of papers citing papers by Laëtitia Fabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Fabre

This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Fabre. A scholar is included among the top collaborators of Laëtitia Fabre 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 Fabre. Laëtitia Fabre 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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