Florence Guillier

401 total citations
8 papers, 297 citations indexed

About

Florence Guillier is a scholar working on Biotechnology, Food Science and Infectious Diseases. According to data from OpenAlex, Florence Guillier has authored 8 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biotechnology, 6 papers in Food Science and 4 papers in Infectious Diseases. Recurrent topics in Florence Guillier's work include Antimicrobial Resistance in Staphylococcus (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Food Safety and Hygiene (3 papers). Florence Guillier is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Food Safety and Hygiene (3 papers). Florence Guillier collaborates with scholars based in France and Belgium. Florence Guillier's co-authors include Annick Ostyn, J.-A. Hennekinne, M.L. De Buyser, Sylviane Dragacci, Jacques‐Antoine Hennekinne, Sabine Herbin, Gilles Delmas, Benjamin Félix, Sophie Krys and Bertrand Lombard and has published in prestigious journals such as International Journal of Food Microbiology, Journal of Applied Microbiology and Eurosurveillance.

In The Last Decade

Florence Guillier

7 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Florence Guillier France	7	170	142	131	120	53	8	297
Noémie Vingadassalon France	8	232 1.4×	142 1.0×	99 0.8×	115 1.0×	25 0.5×	13	328
C. Lapeyre France	10	104 0.6×	169 1.2×	129 1.0×	157 1.3×	36 0.7×	18	339
Dennis E. Burson United States	12	51 0.3×	177 1.2×	197 1.5×	51 0.4×	17 0.3×	24	391
Michelle Swimley United States	7	177 1.0×	118 0.8×	50 0.4×	52 0.4×	12 0.2×	9	361
Aline Dias Paiva Brazil	9	29 0.2×	145 1.0×	75 0.6×	160 1.3×	24 0.5×	26	275
Jeļena Avsejenko Latvia	9	44 0.3×	107 0.8×	64 0.5×	21 0.2×	13 0.2×	16	175
Lucille M. Phillippe Canada	11	32 0.2×	91 0.6×	67 0.5×	123 1.0×	30 0.6×	23	303
Concordia R. Borja United States	8	174 1.0×	93 0.7×	63 0.5×	158 1.3×	12 0.2×	8	341
Danae Morales Angeles Norway	9	88 0.5×	42 0.3×	19 0.1×	176 1.5×	13 0.2×	13	278
R. Holbrook United Kingdom	8	38 0.2×	165 1.2×	194 1.5×	130 1.1×	39 0.7×	9	348

Countries citing papers authored by Florence Guillier

Since Specialization

Citations

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

Fields of papers citing papers by Florence Guillier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Guillier

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

All Works

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8 of 8 papers shown

Guillier, Florence, Bertrand Lombard, Jacques‐Antoine Hennekinne, et al.. (2025). Interlaboratory proficiency tests to assess the analytical competency of French official control laboratories for the analysis of Listeria monocytogenes, Salmonella spp. and coagulase-positive staphylococci in food. International Journal of Food Microbiology. 438. 111218–111218.

Nia, Yacine, Bertrand Lombard, Florence Guillier, et al.. (2021). Development and validation of the Standard method EN ISO 19020 - microbiology of the food chain — Horizontal method for the immunoenzymatic detection of staphylococcal enterotoxins in foodstuffs. International Journal of Food Microbiology. 354. 109319–109319. 12 indexed citations

Guillier, Laurent, et al.. (2016). Dose-response Modelling of Staphylococcal Enterotoxins Using Outbreak Data. Procedia Food Science. 7. 129–132. 14 indexed citations

Ostyn, Annick, et al.. (2011). Intra-laboratory validation of the Ridascreen® SET Total kit for detecting staphylococcal enterotoxins SEA to SEE in cheese. Letters in Applied Microbiology. 52(5). 468–474. 19 indexed citations

Ostyn, Annick, M.L. De Buyser, Florence Guillier, Sophie Krys, & J.-A. Hennekinne. (2011). Benefits of the Combined Use of Immunological- and PCR-Based Methods for Determination of Staphylococcal Enterotoxin Food Safety Criteria in Cheeses. Food Analytical Methods. 5(2). 173–178. 16 indexed citations

Hennekinne, Jacques‐Antoine, et al.. (2010). How Should Staphylococcal Food Poisoning Outbreaks Be Characterized?. Toxins. 2(8). 2106–2116. 88 indexed citations

Ostyn, Annick, M.L. De Buyser, Florence Guillier, et al.. (2010). First evidence of a food poisoning outbreak due to staphylococcal enterotoxin type E, France, 2009. Eurosurveillance. 15(13). 109 indexed citations

Hennekinne, J.-A., Florence Guillier, Sylvie Pérelle, et al.. (2006). Intralaboratory validation according to the EN ISO 16 140 Standard of the Vidas SET2 detection kit for use in official controls of staphylococcal enterotoxins in milk products. Journal of Applied Microbiology. 102(5). 1261–1272. 39 indexed citations

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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