Véronique Huchet

750 total citations
18 papers, 525 citations indexed

About

Véronique Huchet is a scholar working on Biotechnology, Food Science and Molecular Biology. According to data from OpenAlex, Véronique Huchet has authored 18 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biotechnology, 8 papers in Food Science and 5 papers in Molecular Biology. Recurrent topics in Véronique Huchet's work include Listeria monocytogenes in Food Safety (10 papers), Microbial Inactivation Methods (9 papers) and Bacillus and Francisella bacterial research (4 papers). Véronique Huchet is often cited by papers focused on Listeria monocytogenes in Food Safety (10 papers), Microbial Inactivation Methods (9 papers) and Bacillus and Francisella bacterial research (4 papers). Véronique Huchet collaborates with scholars based in France, Switzerland and Netherlands. Véronique Huchet's co-authors include D. Thuault, Yvan Le Marc, Claude Bourgeois, Julien P. Guyonnet, Pierre Mafart, Olivier Couvert, Florence Postollec, Valérie Stahl, Mariem Ellouze and Catherine Denis and has published in prestigious journals such as Food Research International, International Journal of Food Microbiology and Food Microbiology.

In The Last Decade

Véronique Huchet

18 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Huchet France 11 330 273 111 86 57 18 525
Valérie Stahl France 14 356 1.1× 386 1.4× 116 1.0× 188 2.2× 44 0.8× 23 632
Valquíria Ros‐Polski Canada 6 221 0.7× 201 0.7× 97 0.9× 43 0.5× 89 1.6× 8 414
LA Mellefont Australia 13 502 1.5× 420 1.5× 148 1.3× 99 1.2× 31 0.5× 17 697
Rita S. Inácio Portugal 10 282 0.9× 298 1.1× 132 1.2× 76 0.9× 114 2.0× 20 552
T. Wijtzes Netherlands 9 415 1.3× 303 1.1× 138 1.2× 91 1.1× 50 0.9× 9 597
Hjörleifur Einarsson Iceland 10 171 0.5× 231 0.8× 91 0.8× 151 1.8× 27 0.5× 21 511
S. Monfort Spain 14 494 1.5× 326 1.2× 112 1.0× 49 0.6× 93 1.6× 19 637
Beyza Hatice Ulusoy Cyprus 12 86 0.3× 234 0.9× 115 1.0× 109 1.3× 76 1.3× 33 461
H. G. A. M. Cuppers Netherlands 7 327 1.0× 213 0.8× 108 1.0× 52 0.6× 63 1.1× 7 478
Poliana Mendes de Souza Spain 11 145 0.4× 222 0.8× 103 0.9× 34 0.4× 36 0.6× 19 371

Countries citing papers authored by Véronique Huchet

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Huchet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Huchet

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

All Works

18 of 18 papers shown
1.
Marc, Yvan Le, et al.. (2024). Growth limits of psychrotrophic Bacillus cereus as a function of temperature, pH, water activity, and lactic or acetic acid. Microbial Risk Analysis. 27-28. 100310–100310. 4 indexed citations
2.
Couvert, Olivier, et al.. (2023). Effects of carbon dioxide and oxygen on the growth rate of various food spoilage bacteria. Food Microbiology. 114. 104289–104289. 25 indexed citations
3.
Long, Nicolas Nguyen Van, et al.. (2023). Impact of sodium chloride and carbon dioxide on conidial germination and radial growth of Penicillium camemberti. Food Microbiology. 115. 104309–104309. 1 indexed citations
4.
Marc, Yvan Le, Florence Postollec, Véronique Huchet, & Mariem Ellouze. (2022). Modelling the thermal inactivation of spores from different phylogenetic groups of Bacillus cereus. International Journal of Food Microbiology. 368. 109607–109607. 9 indexed citations
5.
Long, Nicolas Nguyen Van, Audrey Pawtowski, Georges Barbier, et al.. (2022). Impact of water activity on the radial growth of fungi in a dairy environment. Food Research International. 157. 111247–111247. 7 indexed citations
6.
Marc, Yvan Le, et al.. (2021). A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato. International Journal of Food Microbiology. 349. 109241–109241. 15 indexed citations
7.
Marc, Yvan Le, Leen Baert, Florence Postollec, et al.. (2021). The effect of pH on the growth rate of Bacillus cereus sensu lato: Quantifying strain variability and modelling the combined effects of temperature and pH. International Journal of Food Microbiology. 360. 109420–109420. 21 indexed citations
8.
Couvert, Olivier, et al.. (2018). Modelling the effect of oxygen concentration on bacterial growth rates. Food Microbiology. 77. 21–25. 35 indexed citations
9.
10.
Guillard, Valérie, Olivier Couvert, Valérie Stahl, et al.. (2017). MAP-OPT: A software for supporting decision-making in the field of modified atmosphere packaging of fresh non respiring foods. HAL (Le Centre pour la Communication Scientifique Directe). 2(1). 28–47. 12 indexed citations
11.
Guillard, Valérie, Olivier Couvert, Valérie Stahl, et al.. (2016). Validation of a predictive model coupling gas transfer and microbial growth in fresh food packed under modified atmosphere. Food Microbiology. 58. 43–55. 30 indexed citations
12.
Valerio, Francesca, Mariaelena Di Biase, Véronique Huchet, et al.. (2014). Comparison of three Bacillus amyloliquefaciens strains growth behaviour and evaluation of the spoilage risk during bread shelf-life. Food Microbiology. 45(Pt A). 2–9. 27 indexed citations
13.
Huchet, Véronique, et al.. (2013). Development and application of a predictive model of Aspergillus candidus growth as a tool to improve shelf life of bakery products. Food Microbiology. 36(2). 254–259. 24 indexed citations
14.
Augustin, Jean-Christophe, Hélène Bergis, Graziella Midelet, et al.. (2010). Design of challenge testing experiments to assess the variability of Listeria monocytogenes growth in foods. Food Microbiology. 28(4). 746–754. 57 indexed citations
15.
Marc, Yvan Le, Véronique Huchet, Claude Bourgeois, et al.. (2002). Modelling the growth kinetics of Listeria as a function of temperature, pH and organic acid concentration. International Journal of Food Microbiology. 73(2-3). 219–237. 198 indexed citations
16.
Huchet, Véronique, D. Thuault, & C. M. Bourgeois. (1997). The stereoselectivity of the use of lactic acid byClostridium tyrobutyricum. Food Microbiology. 14(3). 227–230. 4 indexed citations
17.
18.
Huchet, Véronique, D. Thuault, & C. M. Bourgeois. (1995). Development of a model predicting the effects of pH, lactic acid, glycerol and sodium chloride content on the growth of vegetative cells of Clostridium tyrobutyricum in a culture medium [modelling of the growth]. 4 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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