Laurence Depezay

776 total citations
16 papers, 543 citations indexed

About

Laurence Depezay is a scholar working on Public Health, Environmental and Occupational Health, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Laurence Depezay has authored 16 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 9 papers in Food Science and 3 papers in Nutrition and Dietetics. Recurrent topics in Laurence Depezay's work include Consumer Attitudes and Food Labeling (8 papers), Sensory Analysis and Statistical Methods (6 papers) and Obesity, Physical Activity, Diet (6 papers). Laurence Depezay is often cited by papers focused on Consumer Attitudes and Food Labeling (8 papers), Sensory Analysis and Statistical Methods (6 papers) and Obesity, Physical Activity, Diet (6 papers). Laurence Depezay collaborates with scholars based in United Kingdom, Italy and Denmark. Laurence Depezay's co-authors include Erminio Monteleone, Katherine M. Appleton, Laure Saulais, Caterina Dinnella, David Morizet, Federico J.A. Pérez-Cueto, Heather Hartwell, Ann Hemingway, Agnès Giboreau and Ann Bevan and has published in prestigious journals such as PLoS ONE, Nutrients and British Journal Of Nutrition.

In The Last Decade

Laurence Depezay

15 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence Depezay United Kingdom 11 277 193 97 78 67 16 543
Laure Saulais Canada 15 361 1.3× 295 1.5× 97 1.0× 127 1.6× 92 1.4× 39 798
Mike Gibney Ireland 15 411 1.5× 114 0.6× 115 1.2× 58 0.7× 43 0.6× 43 794
Vanessa Rodrigues Brazil 16 390 1.4× 118 0.6× 44 0.5× 61 0.8× 39 0.6× 37 550
Rui Poínhos Portugal 17 382 1.4× 118 0.6× 43 0.4× 54 0.7× 72 1.1× 75 781
Nienke de Vlieger Australia 10 346 1.2× 84 0.4× 37 0.4× 43 0.6× 90 1.3× 16 553
Aviva A. Musicus United States 15 590 2.1× 154 0.8× 107 1.1× 112 1.4× 56 0.8× 52 779
Melissa Pflugh Prescott United States 12 221 0.8× 219 1.1× 77 0.8× 73 0.9× 16 0.2× 45 541
Ana Carolina Fernandes Brazil 19 610 2.2× 212 1.1× 133 1.4× 31 0.4× 28 0.4× 52 861
Jennie Pollard United Kingdom 5 260 0.9× 116 0.6× 60 0.6× 27 0.3× 41 0.6× 5 464
Beata Piórecka Poland 10 316 1.1× 97 0.5× 65 0.7× 50 0.6× 36 0.5× 32 501

Countries citing papers authored by Laurence Depezay

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Depezay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Depezay

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

All Works

16 of 16 papers shown
1.
Broise, Patrice de La, et al.. (2021). L’alimentation sous influence : six cas de micro-célébrités sur Instagram. Communication et organisation. 60. 77–93.
2.
Hartwell, Heather, Jeffery Bray, Vanessa Rodrigues, et al.. (2020). Increasing vegetable consumption out‐of‐home: VeggiEAT and Veg+projects. Nutrition Bulletin. 45(4). 424–431. 10 indexed citations
3.
Saulais, Laure, Federico J.A. Pérez-Cueto, Katherine M. Appleton, et al.. (2019). When are “Dish of the Day” nudges most effective to increase vegetable selection?. Food Policy. 85. 15–27. 37 indexed citations
4.
Appleton, Katherine M., Caterina Dinnella, Sara Spinelli, et al.. (2019). Liking and consumption of vegetables with more appealing and less appealing sensory properties: Associations with attitudes, food neophobia and food choice motivations in European adolescents. Food Quality and Preference. 75. 179–186. 49 indexed citations
5.
Appleton, Katherine M., Caterina Dinnella, Sara Spinelli, et al.. (2018). Liking for and consumption of vegetables in European adolescents: Healthy eating, liking, food neophobia and food choice motives. Proceedings of The Nutrition Society. 77(OCE3). 1 indexed citations
6.
Pérez-Cueto, Federico J.A., Caterina Dinnella, Erminio Monteleone, et al.. (2017). Danish adolescents like their vegetables fresh rather than frozen or canned. International Journal of Gastronomy and Food Science. 9. 29–33. 10 indexed citations
7.
Cliceri, Danny, Caterina Dinnella, Laurence Depezay, et al.. (2017). Exploring salient dimensions in a free sorting task: A cross-country study within the elderly population. Food Quality and Preference. 60. 19–30. 13 indexed citations
8.
Appleton, Katherine M., Caterina Dinnella, Sara Spinelli, et al.. (2017). Consumption of a High Quantity and a Wide Variety of Vegetables Are Predicted by Different Food Choice Motives in Older Adults from France, Italy and the UK. Nutrients. 9(9). 923–923. 40 indexed citations
9.
Skov, Laurits Rohden, Annemarie Olsen, Katherine M. Appleton, et al.. (2017). Comparison of three nudge interventions (priming, default option, and perceived variety) to promote vegetable consumption in a self-service buffet setting. PLoS ONE. 12(5). e0176028–e0176028. 70 indexed citations
10.
Appleton, Katherine M., Ann Hemingway, Laure Saulais, et al.. (2016). Increasing vegetable intakes: rationale and systematic review of published interventions. European Journal of Nutrition. 55(3). 869–896. 184 indexed citations
11.
Bevan, Ann, Ann Hemingway, Katherine M. Appleton, et al.. (2016). Familiarity and liking of vegetables: Is it important for vegetable consumption?. British Journal of School Nursing. 11(3). 125–130. 7 indexed citations
12.
Saulais, Laure, et al.. (2016). Nudging vegetable consumption: An investigation of defaults as a choice architecture tool for foodservice. Appetite. 107. 691–691. 2 indexed citations
13.
Grassi, Alberto, et al.. (2013). O55 Impact de la variété de l’offre légumes sur les consommations alimentaires de personnes âgées vivant en maison de retraite. Nutrition Clinique et Métabolisme. 27. S51–S51. 1 indexed citations
14.
Morizet, David, Laurence Depezay, Pierre Combris, Delphine Picard, & Agnès Giboreau. (2012). Effect of labeling on new vegetable dish acceptance in preadolescent children. Appetite. 59(2). 399–402. 32 indexed citations
15.
Gleize, Béatrice, Franck Tourniaire, Laurence Depezay, et al.. (2012). Effect of type of TAG fatty acids on lutein and zeaxanthin bioavailability. British Journal Of Nutrition. 110(1). 1–10. 75 indexed citations
16.
Morizet, David, Laurence Depezay, P. Masse, Pierre Combris, & Agnès Giboreau. (2011). Perceptual and lexical knowledge of vegetables in preadolescent children. Appetite. 57(1). 142–147. 12 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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