Eline M. van der Beek

6.7k total citations · 1 hit paper
148 papers, 4.9k citations indexed

About

Eline M. van der Beek is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Eline M. van der Beek has authored 148 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Pediatrics, Perinatology and Child Health, 52 papers in Nutrition and Dietetics and 41 papers in Physiology. Recurrent topics in Eline M. van der Beek's work include Birth, Development, and Health (62 papers), Obesity, Physical Activity, Diet (32 papers) and Gestational Diabetes Research and Management (32 papers). Eline M. van der Beek is often cited by papers focused on Birth, Development, and Health (62 papers), Obesity, Physical Activity, Diet (32 papers) and Gestational Diabetes Research and Management (32 papers). Eline M. van der Beek collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Eline M. van der Beek's co-authors include V.M. Wiegant, Ruud M. Buijs, Lucilla Poston, Lucien F. Harthoorn, Annemarie Oosting, Lidewij Schipper, Rob van den Hurk, Diane Kegler, I.F. Palm and Andries Kalsbeek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Eline M. van der Beek

146 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nutritional psychiatry: Towards improving mental health by what you eat

2019 245 citations Eline M. van der Beek et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eline M. van der Beek Netherlands	40	1.3k	1.3k	1.0k	879	831	148	4.9k
Elena Zambrano Mexico	34	2.2k 1.7×	556 0.4×	1.1k 1.1×	744 0.8×	849 1.0×	138	3.8k
Joseph A. Majzoub United States	48	1.0k 0.8×	438 0.3×	1.1k 1.1×	907 1.0×	332 0.4×	132	6.6k
Kevin L. Grove United States	48	2.2k 1.7×	1.3k 1.0×	2.6k 2.6×	597 0.7×	974 1.2×	141	8.3k
Deborah M. Sloboda Canada	39	2.4k 1.8×	522 0.4×	717 0.7×	1.0k 1.2×	1.0k 1.2×	124	4.7k
Agneta Holmäng Sweden	37	826 0.6×	350 0.3×	1.0k 1.0×	756 0.9×	457 0.5×	98	4.4k
Andreas Plagemann Germany	45	4.1k 3.1×	1.0k 0.8×	1.7k 1.7×	1.5k 1.7×	2.1k 2.6×	133	6.8k
Minoru Irahara Japan	42	993 0.8×	349 0.3×	470 0.5×	1.6k 1.8×	625 0.8×	318	6.2k
Annemieke C. Heijboer Netherlands	43	565 0.4×	1.0k 0.8×	934 0.9×	666 0.8×	106 0.1×	235	6.1k
I. C. McMillen Australia	35	3.7k 2.8×	584 0.5×	1.3k 1.3×	592 0.7×	1.6k 1.9×	125	5.3k
Andrew N. Margioris Greece	48	567 0.4×	333 0.3×	941 0.9×	658 0.7×	280 0.3×	145	7.5k

Countries citing papers authored by Eline M. van der Beek

Since Specialization

Citations

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

Fields of papers citing papers by Eline M. van der Beek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eline M. van der Beek. 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 Eline M. van der Beek. The network helps show where Eline M. van der Beek may publish in the future.

Co-authorship network of co-authors of Eline M. van der Beek

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Fan, et al.. (2024). Characterization of milk oligosaccharide and sialic acid content and their influence on brain sialic acid in a lean mouse model for gestational diabetes. Heliyon. 10(3). e24539–e24539. 5 indexed citations

Espinoza, Félix, Daniel R. González, Rodrigo Moore‐Carrasco, et al.. (2024). Shortcomings, limitations and gaps in physiological roles of extracellular vesicles in obesity. The Journal of Physiology. 2 indexed citations

Macdonald, Ian, Eline M. van der Beek, & Aristea Binia. (2024). Achievements, Challenges, and Future Direction in Early Life Nutrition. Nestlé Nutrition Institute Workshop series. 100. 1–15. 1 indexed citations

Misgina, Kebede Haile, et al.. (2023). Influence of perinatal distress on adverse birth outcomes: A prospective study in the Tigray region, northern Ethiopia. PLoS ONE. 18(7). e0287686–e0287686.

Salas, Rodrigo, Fabián Pardo, Adriana Grismaldo, et al.. (2022). Glycaemia dynamics in gestational diabetes mellitus. Biochimica et Biophysica Acta (BBA) - General Subjects. 1866(7). 130134–130134. 6 indexed citations

Yong, Heng Yaw, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, et al.. (2022). Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?. PLoS ONE. 17(8). e0272253–e0272253. 2 indexed citations

Harvey, Louise, Ruurd M. van Elburg, & Eline M. van der Beek. (2021). Macrosomia and large for gestational age in Asia: One size does not fit all. Journal of obstetrics and gynaecology research. 47(6). 1929–1945. 32 indexed citations

Yong, Heng Yaw, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, et al.. (2021). Higher Parity, Pre-Pregnancy BMI and Rate of Gestational Weight Gain Are Associated with Gestational Diabetes Mellitus in Food Insecure Women. International Journal of Environmental Research and Public Health. 18(5). 2694–2694. 12 indexed citations

Yong, Heng Yaw, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, et al.. (2021). Beverage Intake and the Risk of Gestational Diabetes Mellitus: The SECOST. Nutrients. 13(7). 2208–2208. 9 indexed citations

10.

Misgina, Kebede Haile, H. Marike Boezen, Eline M. van der Beek, Afework Mulugeta, & Henk Groen. (2021). What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia. BMJ Open. 11(6). e043484–e043484. 4 indexed citations

11.

Gremmels, Hendrik, Kimberley E. Wever, Nina D. Paauw, et al.. (2020). Prenatal Amino Acid Supplementation to Improve Fetal Growth: A Systematic Review and Meta-Analysis. Nutrients. 12(9). 2535–2535. 54 indexed citations

12.

Yong, Heng Yaw, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, et al.. (2020). The association between dietary patterns before and in early pregnancy and the risk of gestational diabetes mellitus (GDM): Data from the Malaysian SECOST cohort. PLoS ONE. 15(1). e0227246–e0227246. 16 indexed citations

13.

Yong, Heng Yaw, et al.. (2020). Vitamin D status is associated with high BMI, working status and gravidity among pregnant Malaysian women. Malaysian Journal of Nutrition. 26(1). 129–139. 6 indexed citations

14.

Yong, Heng Yaw, Zalilah Mohd Shariff, Barakatun Nisak Mohd Yusof, et al.. (2019). Associations between the dietary patterns of pregnant Malaysian women and ethnicity, education, and early pregnancy waist circumference: A prospective cohort study. Nutrition Research and Practice. 13(3). 230–230. 8 indexed citations

15.

García‐Patterson, Apolonia, Montserrat Balsells, Jennifer M. Yamamoto, et al.. (2018). Usual dietary treatment of gestational diabetes mellitus assessed after control diet in randomized controlled trials: subanalysis of a systematic review and meta-analysis. Acta Diabetologica. 56(2). 237–240. 13 indexed citations

16.

Heijning, Bert J. M. van de, Bernd Stahl, Maaike W. Schaart, et al.. (2017). Fatty acid and amino acid content and composition of human milk in thecourse of lactation. 4(3). 1–14. 1 indexed citations

17.

Castanys‐Muñoz, Esther, Kathy Kennedy, Eurídice Castañeda‐Gutiérrez, et al.. (2017). Systematic review indicates postnatal growth in term infants born small‐for‐gestational‐age being associated with later neurocognitive and metabolic outcomes. Acta Paediatrica. 106(8). 1230–1238. 66 indexed citations

18.

Barton, Sheila J., Sherry Ngo, Paula Costello, et al.. (2017). DNA methylation of Th2 lineage determination genes at birth is associated with allergic outcomes in childhood. Clinical & Experimental Allergy. 47(12). 1599–1608. 31 indexed citations

19.

Broersen, Laus M., Nick van Wijk, Paul J.M. Savelkoul, et al.. (2012). A Specific Multi-Nutrient Diet Reduces Alzheimer-Like Pathology in Young Adult AβPPswe/PS1dE9 Mice. Journal of Alzheimer s Disease. 33(1). 177–190. 40 indexed citations

20.

Simonian, Sharon X., et al.. (1999). Fluctuating Estrogen and Progesterone Receptor Expression in Brainstem Norepinephrine Neurons through the Rat Estrous Cycle*. Endocrinology. 140(7). 3255–3263. 134 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