Amber Ronteltap

1.8k total citations · 1 hit paper
38 papers, 1.2k citations indexed

About

Amber Ronteltap is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Sociology and Political Science. According to data from OpenAlex, Amber Ronteltap has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 12 papers in Genetics and 7 papers in Sociology and Political Science. Recurrent topics in Amber Ronteltap's work include Consumer Attitudes and Food Labeling (13 papers), Nutrition, Genetics, and Disease (12 papers) and Behavioral Health and Interventions (5 papers). Amber Ronteltap is often cited by papers focused on Consumer Attitudes and Food Labeling (13 papers), Nutrition, Genetics, and Disease (12 papers) and Behavioral Health and Interventions (5 papers). Amber Ronteltap collaborates with scholars based in Netherlands, United Kingdom and United States. Amber Ronteltap's co-authors include J.C.M. van Trijp, Vincent Buskens, Maarten ter Huurne, Reint Jan Renes, Rense Corten, Lynn J. Frewer, A.R.H. Fischer, A. Prins, Hilde Tobi and Hans Dagevos and has published in prestigious journals such as Trends in Food Science & Technology, Advances in Colloid and Interface Science and British Journal Of Nutrition.

In The Last Decade

Amber Ronteltap

36 papers receiving 1.2k citations

Hit Papers

Antecedents of trust in the sharing economy: A systematic... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amber Ronteltap Netherlands 18 403 372 293 252 189 38 1.2k
I.A. van der Lans Netherlands 27 723 1.8× 301 0.8× 623 2.1× 204 0.8× 812 4.3× 84 2.6k
Thomas A. Brunner Switzerland 23 560 1.4× 256 0.7× 504 1.7× 30 0.1× 567 3.0× 58 2.0k
Fabio Verneau Italy 21 564 1.4× 90 0.2× 159 0.5× 90 0.4× 481 2.5× 60 1.8k
Angela Bearth Switzerland 20 109 0.3× 521 1.4× 177 0.6× 30 0.1× 366 1.9× 62 1.5k
Mari Niva Finland 22 369 0.9× 113 0.3× 450 1.5× 64 0.3× 665 3.5× 58 1.6k
Bernadette Sütterlin Switzerland 20 343 0.9× 497 1.3× 190 0.6× 27 0.1× 366 1.9× 31 1.6k
Ellen Goddard Canada 22 429 1.1× 181 0.5× 185 0.6× 82 0.3× 530 2.8× 113 1.8k
Mary Brennan United Kingdom 19 130 0.3× 503 1.4× 176 0.6× 43 0.2× 555 2.9× 57 1.5k
Sharron Kuznesof United Kingdom 24 262 0.7× 320 0.9× 536 1.8× 225 0.9× 707 3.7× 55 2.0k
Polymeros Chrysochou Denmark 28 717 1.8× 396 1.1× 245 0.8× 14 0.1× 551 2.9× 79 1.9k

Countries citing papers authored by Amber Ronteltap

Since Specialization
Citations

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

Fields of papers citing papers by Amber Ronteltap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Ronteltap

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

All Works

20 of 20 papers shown
3.
Ronteltap, Amber, Andrea J. Bukman, Gera E. Nagelhout, et al.. (2022). Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques. BMC Nutrition. 8(1). 145–145. 15 indexed citations
4.
Bukman, Andrea J., et al.. (2020). Interpersonal determinants of eating behaviours in Dutch older adults living independently: a qualitative study. BMC Nutrition. 6(1). 55–55. 16 indexed citations
5.
Fischer, A.R.H., I.A. van der Lans, Amber Ronteltap, et al.. (2016). Willingness to pay for personalised nutrition across Europe. European Journal of Public Health. 26(4). 640–644. 26 indexed citations
6.
Fischer, A.R.H., et al.. (2015). Consumer adoption of personalised nutrition services from the perspective of a risk–benefit trade-off. Genes & Nutrition. 10(6). 42–42. 27 indexed citations
7.
Fischer, A.R.H., Amber Ronteltap, Sharron Kuznesof, et al.. (2014). Understanding Consumer Evaluations of Personalised Nutrition Services in Terms of the Privacy Calculus: A Qualitative Study. Public Health Genomics. 17(3). 127–140. 20 indexed citations
8.
Nordgren, Anders, et al.. (2013). Consumers on the Internet: ethical and legal aspects of commercialization of personalized nutrition. Genes & Nutrition. 8(4). 349–355. 23 indexed citations
9.
Dellaert, Benedict G. C., et al.. (2013). Consumers’ intention to use health recommendation systems to receive personalized nutrition advice. BMC Health Services Research. 13(1). 126–126. 24 indexed citations
10.
Ronteltap, Amber, et al.. (2012). Construal levels of healthy eating. Exploring consumers’ interpretation of health in the food context. Appetite. 59(2). 333–340. 67 indexed citations
11.
Ronteltap, Amber, et al.. (2009). Service Value Chains to Support Knowledge-Based Personalized Recommendations. Socio-Environmental Systems Modeling. 1 indexed citations
12.
Ronteltap, Amber, et al.. (2009). Nutrition Tailored to the Individual? Not Just Yet – Realigning Nutrigenomic Science with Contemporary Society. Lifestyle Genomics. 2(4-5). 184–188. 4 indexed citations
13.
Ronteltap, Amber, J.C.M. van Trijp, & Reint Jan Renes. (2008). Consumer acceptance of nutrigenomics-based personalised nutrition. British Journal Of Nutrition. 101(1). 132–144. 54 indexed citations
14.
Ronteltap, Amber & J.C.M. van Trijp. (2007). Consumer acceptance of personalised nutrition. Genes & Nutrition. 2(1). 85–87. 11 indexed citations
15.
Ronteltap, Amber, J.C.M. van Trijp, Reint Jan Renes, & Lynn J. Frewer. (2007). Consumer acceptance of technology-based food innovations: Lessons for the future of nutrigenomics. Appetite. 49(1). 1–17. 251 indexed citations
16.
Ronteltap, Amber & J.C.M. van Trijp. (2005). Consumer acceptance of Nutrigenomics-based food technology. Data Archiving and Networked Services (DANS). 88–96.
17.
Ronteltap, Amber, et al.. (2004). Sensory testing of recipes masking peanut or hazelnut for double‐blind placebo‐controlled food challenges. Allergy. 59(4). 457–460. 16 indexed citations
18.
Ronteltap, Amber, et al.. (1992). A moving optical fibre technique for structure analysis of heterogeneous products: application to different foodstuffs.. Socio-Environmental Systems Modeling. 11(2). 109–113. 3 indexed citations
19.
Prins, A., et al.. (1992). A moving optical fibre technique for structure analysis of heterogeneous products: application to the determination of the bubble-size distribution in liquid foams.. Socio-Environmental Systems Modeling. 11(2). 101–108. 6 indexed citations
20.
Ronteltap, Amber & A. Prins. (1990). The role of surface viscosity in gas diffusion in aqueous foams. II. Experimental. Colloids and Surfaces. 47. 285–298. 17 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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