Eva L. van Donkelaar

749 total citations
16 papers, 557 citations indexed

About

Eva L. van Donkelaar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Eva L. van Donkelaar has authored 16 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Biological Psychiatry. Recurrent topics in Eva L. van Donkelaar's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Tryptophan and brain disorders (4 papers) and Stress Responses and Cortisol (3 papers). Eva L. van Donkelaar is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Tryptophan and brain disorders (4 papers) and Stress Responses and Cortisol (3 papers). Eva L. van Donkelaar collaborates with scholars based in Netherlands, United Kingdom and Spain. Eva L. van Donkelaar's co-authors include Harry W.M. Steinbusch, Arjan Blokland, Jos Prickaerts, Paul A. Kelly, Linda Ferrington, Kris Rutten, Jodi L. Pawluski, Ramón Cañete, Eva Bollen and Thierry D. Charlier and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Neuroscience.

In The Last Decade

Eva L. van Donkelaar

16 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva L. van Donkelaar Netherlands 12 176 128 120 120 95 16 557
María Bové Italy 16 170 1.0× 99 0.8× 189 1.6× 135 1.1× 93 1.0× 36 649
Tiffany E. Hill‐Smith United States 10 147 0.8× 186 1.5× 80 0.7× 122 1.0× 50 0.5× 12 551
Véronique De Smedt‐Peyrusse France 13 159 0.9× 110 0.9× 112 0.9× 143 1.2× 112 1.2× 19 921
Kyung-Ho Shin South Korea 13 169 1.0× 168 1.3× 221 1.8× 257 2.1× 59 0.6× 17 696
C. Lammers Germany 8 130 0.7× 229 1.8× 106 0.9× 198 1.6× 67 0.7× 16 599
Leonardo Machado Crema Brazil 15 109 0.6× 145 1.1× 107 0.9× 258 2.1× 51 0.5× 25 604
Lucija Tudor Croatia 16 186 1.1× 101 0.8× 193 1.6× 110 0.9× 77 0.8× 43 669
Sakineh Alijanpour Iran 14 152 0.9× 226 1.8× 95 0.8× 109 0.9× 128 1.3× 37 556
Cécile Hryhorczuk Canada 14 112 0.6× 132 1.0× 98 0.8× 121 1.0× 47 0.5× 16 840
Maria Augusta B. dos Santos Brazil 15 103 0.6× 138 1.1× 325 2.7× 245 2.0× 150 1.6× 21 672

Countries citing papers authored by Eva L. van Donkelaar

Since Specialization
Citations

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

Fields of papers citing papers by Eva L. van Donkelaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva L. van Donkelaar. 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 Eva L. van Donkelaar. The network helps show where Eva L. van Donkelaar may publish in the future.

Co-authorship network of co-authors of Eva L. van Donkelaar

This figure shows the co-authorship network connecting the top 25 collaborators of Eva L. van Donkelaar. A scholar is included among the top collaborators of Eva L. van Donkelaar 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 Eva L. van Donkelaar. Eva L. van Donkelaar 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.
Valle, Miguel, et al.. (2014). Association of serum uric acid levels to inflammation biomarkers and endothelial dysfunction in obese prepubertal children. Pediatric Diabetes. 16(6). 441–447. 39 indexed citations
2.
Donkelaar, Eva L. van, Jodi L. Pawluski, Annerieke Sierksma, et al.. (2014). Long-Term Corticosterone Exposure Decreases Insulin Sensitivity and Induces Depressive-Like Behaviour in the C57BL/6NCrl Mouse. PLoS ONE. 9(10). e106960–e106960. 50 indexed citations
3.
Donkelaar, Eva L. van, et al.. (2013). No effect of acute tryptophan depletion on phosphodiesterase inhibition–related improvements of short‐term object memory in maleWistar rats. Acta Psychiatrica Scandinavica. 128(2). 107–113. 2 indexed citations
4.
Cañete, Ramón, et al.. (2012). Short-term effects of GH treatment on coagulation, fibrinolysis, inflammation biomarkers, and insulin resistance status in prepubertal children with GH deficiency. European Journal of Endocrinology. 167(2). 255–260. 22 indexed citations
5.
Pawluski, Jodi L., Ine Rayen, Eva L. van Donkelaar, et al.. (2012). Developmental fluoxetine exposure differentially alters central and peripheral measures of the HPA system in adolescent male and female offspring. Neuroscience. 220. 131–141. 76 indexed citations
6.
Keszthelyi, Dániel, Freddy J. Troost, Daisy Jonkers, et al.. (2012). Does acute tryptophan depletion affect peripheral serotonin metabolism in the intestine?. American Journal of Clinical Nutrition. 95(3). 603–608. 35 indexed citations
7.
Colasanti, Alessandro, et al.. (2011). Effects of tryptophan depletion and tryptophan loading on the affective response to high-dose CO2 challenge in healthy volunteers. Psychopharmacology. 215(4). 739–748. 9 indexed citations
8.
Donkelaar, Eva L. van, Arjan Blokland, Linda Ferrington, et al.. (2011). Mechanism of acute tryptophan depletion: is it only serotonin?. Molecular Psychiatry. 16(7). 695–713. 98 indexed citations
9.
Chouliaras, Leonidas, Annerieke Sierksma, Günter Kenis, et al.. (2010). Gene-Environment Interaction Research and Transgenic Mouse Models of Alzheimer's Disease. International Journal of Alzheimer s Disease. 2010. 1–27. 24 indexed citations
10.
Donkelaar, Eva L. van, Arjan Blokland, C.K. Lieben, et al.. (2009). Acute tryptophan depletion in C57BL/6 mice does not induce central serotonin reduction or affective behavioural changes. Neurochemistry International. 56(1). 21–34. 22 indexed citations
11.
Donkelaar, Eva L. van, Linda Ferrington, Arjan Blokland, et al.. (2009). Acute tryptophan depletion in rats alters the relationship between cerebral blood flow and glucose metabolism independent of central serotonin. Neuroscience. 163(2). 683–694. 13 indexed citations
12.
Donkelaar, Eva L. van, Paul A. Kelly, Neil Dawson, et al.. (2009). Acute tryptophan depletion potentiates 3,4‐methylenedioxymethamphetamine‐induced cerebrovascular hyperperfusion in adult male wistar rats. Journal of Neuroscience Research. 88(7). 1557–1568. 9 indexed citations
13.
Rutten, Kris, Eva L. van Donkelaar, Linda Ferrington, et al.. (2009). Phosphodiesterase Inhibitors Enhance Object Memory Independent of Cerebral Blood Flow and Glucose Utilization in Rats. Neuropsychopharmacology. 34(8). 1914–1925. 95 indexed citations
14.
Donkelaar, Eva L. van, Daniël van den Hove, Arjan Blokland, Harry W.M. Steinbusch, & Jos Prickaerts. (2009). Stress-mediated decreases in brain-derived neurotrophic factor as potential confounding factor for acute tryptophan depletion-induced neurochemical effects. European Neuropsychopharmacology. 19(11). 812–821. 14 indexed citations
15.
Donkelaar, Eva L. van, Arjan Blokland, Günter Kenis, et al.. (2008). Pharmacokinetic and behavioural effects of acute tryptophan depletion in mice. Behavioural Pharmacology. 19. 663–663. 1 indexed citations
16.
Donkelaar, Eva L. van, Kris Rutten, Arjan Blokland, et al.. (2008). Phosphodiesterase 2 and 5 inhibition attenuates the object memory deficit induced by acute tryptophan depletion. European Journal of Pharmacology. 600(1-3). 98–104. 48 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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