Daiva E. Nielsen

1.9k total citations
52 papers, 1.3k citations indexed

About

Daiva E. Nielsen is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Daiva E. Nielsen has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 19 papers in Genetics and 15 papers in Nutrition and Dietetics. Recurrent topics in Daiva E. Nielsen's work include Nutritional Studies and Diet (14 papers), Nutrition, Genetics, and Disease (14 papers) and Consumer Attitudes and Food Labeling (10 papers). Daiva E. Nielsen is often cited by papers focused on Nutritional Studies and Diet (14 papers), Nutrition, Genetics, and Disease (14 papers) and Consumer Attitudes and Food Labeling (10 papers). Daiva E. Nielsen collaborates with scholars based in Canada, United States and Australia. Daiva E. Nielsen's co-authors include Ahmed El‐Sohemy, David M. Mutch, Alaa Badawi, David W.L., Shannon Clarke, Salma A. Abdelmagid, Kaitlin Roke, Robert C. Green, Lisa M. Duizer and Karen Eny and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Daiva E. Nielsen

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daiva E. Nielsen Canada 19 469 389 321 299 273 52 1.3k
Agata Chmurzyńska Poland 20 269 0.6× 294 0.8× 734 2.3× 245 0.8× 485 1.8× 105 1.9k
Bibiana García‐Bailo Canada 18 307 0.7× 232 0.6× 206 0.6× 226 0.8× 210 0.8× 44 1.1k
Omar Ramos-López Mexico 23 245 0.5× 334 0.9× 774 2.4× 278 0.9× 696 2.5× 84 1.8k
José I. González Spain 19 280 0.6× 166 0.4× 125 0.4× 224 0.7× 238 0.9× 34 1.0k
Erika Martínez‐López Mexico 20 252 0.5× 146 0.4× 355 1.1× 175 0.6× 317 1.2× 99 1.3k
Richard Planells France 27 425 0.9× 393 1.0× 642 2.0× 460 1.5× 581 2.1× 58 2.1k
Giulia Accardi Italy 27 166 0.4× 159 0.4× 576 1.8× 194 0.6× 577 2.1× 97 2.3k
Michael A. Zulyniak United Kingdom 17 264 0.6× 82 0.2× 359 1.1× 429 1.4× 490 1.8× 51 1.4k
Valérie Marcil Canada 23 311 0.7× 202 0.5× 477 1.5× 207 0.7× 317 1.2× 93 1.7k
Caroline E. Childs United Kingdom 25 777 1.7× 84 0.2× 515 1.6× 175 0.6× 469 1.7× 41 1.6k

Countries citing papers authored by Daiva E. Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by Daiva E. Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daiva E. Nielsen. 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 Daiva E. Nielsen. The network helps show where Daiva E. Nielsen may publish in the future.

Co-authorship network of co-authors of Daiva E. Nielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Daiva E. Nielsen. A scholar is included among the top collaborators of Daiva E. Nielsen 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 Daiva E. Nielsen. Daiva E. Nielsen 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
1.
Labonté, Katherine, et al.. (2024). Disentangling inhibition toward food and non-food stimuli across two hunger levels: An fNIRS study. Appetite. 203. 107678–107678. 1 indexed citations
2.
Nielsen, Daiva E., et al.. (2024). Relationships between the Planetary Health Diet Index, its food groups, and polygenic risk of obesity in the CARTaGENE cohort. Nutrition & Metabolism. 21(1). 116–116. 1 indexed citations
3.
Labonté, Katherine & Daiva E. Nielsen. (2023). Measuring food-related inhibition with go/no-go tasks: Critical considerations for experimental design. Appetite. 185. 106497–106497. 6 indexed citations
4.
Nielsen, Daiva E., et al.. (2023). Plant‐based dietary patterns and genetic susceptibility to obesity in the CARTaGENE cohort. Obesity. 32(2). 409–422. 4 indexed citations
5.
Peters, Tricia M., et al.. (2023). Does Insulin Delivery Technology Change Our Relationship with Foods? A Scoping Review. Diabetes Technology & Therapeutics. 26(2). 136–145. 2 indexed citations
6.
Nielsen, Daiva E., et al.. (2023). An Investigation of TAS2R38 Haplotypes, Dietary Intake, and Risk Factors for Chronic Disease in the Canadian Longitudinal Study on Aging. Journal of Nutrition. 153(11). 3270–3279. 6 indexed citations
7.
Nielsen, Daiva E., Beatrice A. Boucher, Laura A. Da Costa, David J.A. Jenkins, & Ahmed El‐Sohemy. (2022). Reproducibility and validity of the Toronto-modified Harvard food frequency questionnaire in a multi-ethnic sample of young adults. European Journal of Clinical Nutrition. 77(2). 246–254. 5 indexed citations
8.
Nielsen, Daiva E., et al.. (2022). Longitudinal Patterns of Food Procurement Over the Course of the COVID-19 Pandemic: Findings From a Canadian Online Household Survey. Frontiers in Public Health. 9. 752204–752204. 7 indexed citations
9.
Nielsen, Daiva E., et al.. (2020). Healthcare Professional Clinical Actions following Nutrigenomics Testing in Practice. Public Health Genomics. 23(5-6). 237–245. 3 indexed citations
10.
11.
Wang, Jingzhou, et al.. (2018). ABO Genotype Does Not Modify the Association between the “Blood-Type” Diet and Biomarkers of Cardiometabolic Disease in Overweight Adults. Journal of Nutrition. 148(4). 518–525. 2 indexed citations
12.
Landry, Latrice, et al.. (2017). Racial minority group interest in direct-to-consumer genetic testing: findings from the PGen study. Journal of Community Genetics. 8(4). 293–301. 20 indexed citations
13.
Masih, Shannon, Lesley Plumptre, Olga Malysheva, et al.. (2015). Maternal Choline Status, but Not Fetal Genotype, Influences Cord Plasma Choline Metabolite Concentrations. Journal of Nutrition. 145(7). 1491–1497. 35 indexed citations
14.
15.
Nielsen, Daiva E. & Ahmed El‐Sohemy. (2014). Disclosure of Genetic Information and Change in Dietary Intake: A Randomized Controlled Trial. PLoS ONE. 9(11). e112665–e112665. 90 indexed citations
16.
Wang, Jingzhou, Bibiana García‐Bailo, Daiva E. Nielsen, & Ahmed El‐Sohemy. (2014). ABO Genotype, ‘Blood-Type’ Diet and Cardiometabolic Risk Factors. PLoS ONE. 9(1). e84749–e84749. 18 indexed citations
17.
Nielsen, Daiva E., Sarah C. Shih, & Ahmed El‐Sohemy. (2014). Perceptions of Genetic Testing for Personalized Nutrition: A Randomized Trial of DNA-Based Dietary Advice. Lifestyle Genomics. 7(2). 94–104. 36 indexed citations
18.
Ralston, Jessica C., Michael A. Zulyniak, Daiva E. Nielsen, et al.. (2013). Ethnic- and sex-specific associations between plasma fatty acids and markers of insulin resistance in healthy young adults. Nutrition & Metabolism. 10(1). 42–42. 15 indexed citations
19.
Kulkarni, G. V., et al.. (2012). Association of <b><i>GLUT2</i></b> and <b><i>TAS1R2</i></b> Genotypes with Risk for Dental Caries. Caries Research. 47(3). 219–225. 48 indexed citations
20.
García‐Bailo, Bibiana, Darren R. Brenner, Daiva E. Nielsen, et al.. (2011). Dietary patterns and ethnicity are associated with distinct plasma proteomic groups. American Journal of Clinical Nutrition. 95(2). 352–361. 57 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Agata Chmurzyńska Breakdown of academic impact, for papers by Bibiana García‐Bailo Breakdown of academic impact, for papers by Omar Ramos-López Breakdown of academic impact, for papers by José I. González Breakdown of academic impact, for papers by Erika Martínez‐López Breakdown of academic impact, for papers by Richard Planells Breakdown of academic impact, for papers by Giulia Accardi Breakdown of academic impact, for papers by Michael A. Zulyniak Breakdown of academic impact, for papers by Valérie Marcil Breakdown of academic impact, for papers by Caroline E. Childs
Rankless by CCL
2026