Caroline van Heijningen

2.0k total citations
15 papers, 1.5k citations indexed

About

Caroline van Heijningen is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Caroline van Heijningen has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 6 papers in Cognitive Neuroscience and 5 papers in Physiology. Recurrent topics in Caroline van Heijningen's work include Circadian rhythm and melatonin (10 papers), Sleep and Wakefulness Research (6 papers) and Dietary Effects on Health (4 papers). Caroline van Heijningen is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Sleep and Wakefulness Research (6 papers) and Dietary Effects on Health (4 papers). Caroline van Heijningen collaborates with scholars based in Netherlands, France and Mexico. Caroline van Heijningen's co-authors include Andries Kalsbeek, Ruud M. Buijs, Jan van der Vliet, Susanne E. la Fleur, Susanne la Fleur, Cathy Cailotto, Paul Pévet, Joke Wortel, Eric Fliers and Johannes A. Romijn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Caroline van Heijningen

15 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline van Heijningen Netherlands 13 1.2k 670 376 225 125 15 1.5k
Wendy Foulds Mathes United States 13 1.2k 1.0× 579 0.9× 362 1.0× 393 1.7× 54 0.4× 19 1.9k
Matthew P. Butler United States 22 850 0.7× 562 0.8× 230 0.6× 154 0.7× 200 1.6× 56 1.4k
Stylianos Nicolaı̈dis France 25 854 0.7× 560 0.8× 514 1.4× 390 1.7× 174 1.4× 67 1.9k
A. R. Kennedy United Kingdom 9 1.6k 1.4× 850 1.3× 220 0.6× 217 1.0× 47 0.4× 9 1.9k
Domenico Tupone United States 19 923 0.8× 899 1.3× 460 1.2× 203 0.9× 166 1.3× 39 1.7k
Olga Karatayev United States 24 868 0.7× 320 0.5× 429 1.1× 440 2.0× 115 0.9× 46 1.6k
S. Aou Japan 17 601 0.5× 381 0.6× 295 0.8× 303 1.3× 78 0.6× 33 1.3k
Zhen Fang Huang Cao China 13 811 0.7× 321 0.5× 486 1.3× 410 1.8× 63 0.5× 20 1.5k
Tamas L. Horvath United States 7 1.8k 1.6× 856 1.3× 351 0.9× 346 1.5× 32 0.3× 7 2.3k
Jaber Danguir France 22 624 0.5× 446 0.7× 514 1.4× 244 1.1× 177 1.4× 35 1.2k

Countries citing papers authored by Caroline van Heijningen

Since Specialization
Citations

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

Fields of papers citing papers by Caroline van Heijningen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline van Heijningen. 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 Caroline van Heijningen. The network helps show where Caroline van Heijningen may publish in the future.

Co-authorship network of co-authors of Caroline van Heijningen

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

All Works

15 of 15 papers shown
1.
Cate, Carel ten, Caroline van Heijningen, & Willem Zuidema. (2010). Reply to Gentner et al.: As simple as possible, but not simpler. Proceedings of the National Academy of Sciences. 107(16). 10 indexed citations
2.
Cailotto, Cathy, Jun Lei, Jan van der Vliet, et al.. (2009). Effects of Nocturnal Light on (Clock) Gene Expression in Peripheral Organs: A Role for the Autonomic Innervation of the Liver. PLoS ONE. 4(5). e5650–e5650. 106 indexed citations
3.
Kalsbeek, Andries, Ewout Foppen, Ingrid Schalij, et al.. (2008). Circadian Control of the Daily Plasma Glucose Rhythm: An Interplay of GABA and Glutamate. PLoS ONE. 3(9). e3194–e3194. 96 indexed citations
4.
Hoek, Anita M. van den, Caroline van Heijningen, Janny P. Schröder-van der Elst, et al.. (2008). Intracerebroventricular Administration of Neuropeptide Y Induces Hepatic Insulin Resistance via Sympathetic Innervation. Diabetes. 57(9). 2304–2310. 101 indexed citations
5.
Cailotto, Cathy, Caroline van Heijningen, Jan van der Vliet, et al.. (2007). Daily Rhythms in Metabolic Liver Enzymes and Plasma Glucose Require a Balance in the Autonomic Output to the Liver. Endocrinology. 149(4). 1914–1925. 79 indexed citations
6.
Wu, Ying‐Hui, David F. Fischer, Andries Kalsbeek, et al.. (2006). Pineal clock gene oscillation is disturbed in Alzheimer's disease, due to functional disconnection from the “master clock”. The FASEB Journal. 20(11). 1874–1876. 141 indexed citations
7.
Verzijden, Machteld N., et al.. (2006). Song discrimination learning in zebra finches induces highly divergent responses to novel songs. Proceedings of the Royal Society B Biological Sciences. 274(1607). 295–301. 32 indexed citations
8.
Cailotto, Cathy, Susanne E. la Fleur, Caroline van Heijningen, et al.. (2005). The suprachiasmatic nucleus controls the daily variation of plasma glucose via the autonomic output to the liver: are the clock genes involved?. Data Archiving and Networked Services (DANS). 4 indexed citations
9.
Kreier, Felix, Yolanda S. Kap, Thomas C. Mettenleiter, et al.. (2005). Tracing from Fat Tissue, Liver, and Pancreas: A Neuroanatomical Framework for the Role of the Brain in Type 2 Diabetes. Endocrinology. 147(3). 1140–1147. 154 indexed citations
10.
Cailotto, Cathy, Susanne E. la Fleur, Caroline van Heijningen, et al.. (2005). The suprachiasmatic nucleus controls the daily variation of plasma glucose via the autonomic output to the liver: are the clock genes involved?. European Journal of Neuroscience. 22(10). 2531–2540. 150 indexed citations
11.
Kramer, Klaas, Heleen van de Weerd, Caroline van Heijningen, et al.. (2004). Effect of Conditioning on the Increase of Heart Rate and Body Temperature Provoked by Handling in the Mouse. Alternatives to Laboratory Animals. 32(1_suppl). 177–181. 26 indexed citations
12.
Kalsbeek, Andries, Susanne la Fleur, Caroline van Heijningen, & Ruud M. Buijs. (2004). Suprachiasmatic GABAergic Inputs to the Paraventricular Nucleus Control Plasma Glucose Concentrations in the Rat via Sympathetic Innervation of the Liver. Journal of Neuroscience. 24(35). 7604–7613. 200 indexed citations
13.
Kalsbeek, Andries, M. Ruiter, Susanne E. la Fleur, Caroline van Heijningen, & Ruud M. Buijs. (2003). The Diurnal Modulation of Hormonal Responses in the Rat Varies with Different Stimuli. Journal of Neuroendocrinology. 15(12). 1144–1155. 58 indexed citations
14.
Perreau‐Lenz, Stéphanie, Andries Kalsbeek, Marie‐Laure Garidou, et al.. (2003). Suprachiasmatic control of melatonin synthesis in rats: inhibitory and stimulatory mechanisms. European Journal of Neuroscience. 17(2). 221–228. 163 indexed citations
15.
Fleur, Susanne E. la, et al.. (2003). The Daily Rhythm in Plasma Glucagon Concentrations in the Rat Is Modulated by the Biological Clock and by Feeding Behavior. Diabetes. 52(7). 1709–1715. 140 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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