Véronique Huchet
- Biotechnology top 1%
- Food Science top 5%
- Animal Science and Zoology top 5%
- Molecular Biology
- Plant Science
- Co-authors
- D. ThuaultYvan Le MarcJulien P. GuyonnetClaude BourgeoisPierre MafartOlivier CouvertFlorence PostollecValérie Stahl
- Topics
- Listeria monocytogenes in Food Safety (10 papers)Microbial Inactivation Methods (9 papers)Bacillus and Francisella bacterial research (4 papers)
- Partner nations
- FranceSwitzerlandNetherlands
In The Last Decade
Véronique Huchet
18 papers receiving 503 citations
Peers
Comparison fields: 5 of 85
- Biotechnology 330
- Food Science 273
- Animal Science and Zoology 111
- Molecular Biology 86
- Plant Science 57
Countries citing papers authored by Véronique Huchet
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 25 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 21 | |
| 8 | 35 | |
| 9 | 42 | |
| 10 | 12 | |
| 11 | 30 | |
| 12 | 27 | |
| 13 | 24 | |
| 14 | 57 | |
| 15 | 198 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 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 |
About Véronique Huchet
Véronique Huchet is a scholar working on Biotechnology, Food Science and Animal Science and Zoology, having authored 18 papers that have together received 525 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (10 papers), Microbial Inactivation Methods (9 papers) and Bacillus and Francisella bacterial research (4 papers). The work is most often cited by research in Biotechnology (330 citations), Food Science (273 citations) and Animal Science and Zoology (111 citations). Véronique Huchet has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include D. Thuault, Yvan Le Marc, Julien P. Guyonnet, Claude Bourgeois, Pierre Mafart, Olivier Couvert, Florence Postollec, Valérie Stahl, Mariem Ellouze and József Baranyi. Their work appears in journals such as Food Research International, International Journal of Food Microbiology and Food Microbiology.
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.