Amber Kerkhofs

655 total citations
8 papers, 416 citations indexed

About

Amber Kerkhofs is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Amber Kerkhofs has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Behavioral Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Amber Kerkhofs's work include Neuroscience and Neuropharmacology Research (6 papers), Stress Responses and Cortisol (3 papers) and Neural dynamics and brain function (3 papers). Amber Kerkhofs is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Stress Responses and Cortisol (3 papers) and Neural dynamics and brain function (3 papers). Amber Kerkhofs collaborates with scholars based in Netherlands, France and United States. Amber Kerkhofs's co-authors include Lenka Mikasová, Laurent Groc, Huibert D. Mansvelder, Sander Idema, Johannes C. Baayen, Joshua Obermayer, Matthijs A. Zandbergen, Sharon M. H. Gobes, Sanne Moorman and Johan J. Bolhuis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Amber Kerkhofs

8 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amber Kerkhofs Netherlands	8	159	146	97	68	63	8	416
Henya C. Grossman United States	11	143 0.9×	192 1.3×	84 0.9×	97 1.4×	116 1.8×	13	580
Joseph G. Oberlander United States	11	142 0.9×	54 0.4×	154 1.6×	85 1.3×	114 1.8×	16	477
Sidney P. Kuo United States	9	292 1.8×	174 1.2×	87 0.9×	233 3.4×	53 0.8×	11	632
Sraboni Chaudhury United States	14	129 0.8×	99 0.7×	37 0.4×	141 2.1×	75 1.2×	22	451
Shahin Zangenehpour Canada	13	255 1.6×	300 2.1×	40 0.4×	165 2.4×	71 1.1×	25	653
Satoru M. Sato United States	8	125 0.8×	141 1.0×	85 0.9×	76 1.1×	77 1.2×	8	444
Daniel W. Bayless United States	10	131 0.8×	105 0.7×	102 1.1×	58 0.9×	214 3.4×	10	431
Leif Gibb United States	11	304 1.9×	314 2.2×	38 0.4×	109 1.6×	57 0.9×	13	589
Kenneth J. Burke United States	6	198 1.2×	153 1.0×	72 0.7×	171 2.5×	202 3.2×	7	534
David A. Townsend United States	7	362 2.3×	286 2.0×	101 1.0×	112 1.6×	59 0.9×	7	849

Countries citing papers authored by Amber Kerkhofs

Since Specialization

Citations

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

Fields of papers citing papers by Amber Kerkhofs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Kerkhofs

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

All Works

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8 of 8 papers shown

Goriounova, Natalia A., Djai B. Heyer, René Wilbers, et al.. (2018). Large and fast human pyramidal neurons associate with intelligence. eLife. 7. 96 indexed citations

Obermayer, Joshua, Tim S. Heistek, Amber Kerkhofs, et al.. (2018). Lateral inhibition by Martinotti interneurons is facilitated by cholinergic inputs in human and mouse neocortex. Nature Communications. 9(1). 4101–4101. 58 indexed citations

Kerkhofs, Amber, Paula M. Canas, Sander Idema, et al.. (2018). Caffeine Controls Glutamatergic Synaptic Transmission and Pyramidal Neuron Excitability in Human Neocortex. Frontiers in Pharmacology. 8. 899–899. 24 indexed citations

Kerkhofs, Amber, Paula M. Canas, Axelle Timmerman, et al.. (2018). Adenosine A2A Receptors Control Glutamatergic Synaptic Plasticity in Fast Spiking Interneurons of the Prefrontal Cortex. Frontiers in Pharmacology. 9. 133–133. 33 indexed citations

Mikasová, Lenka, Hui Xiong, Amber Kerkhofs, et al.. (2017). Stress hormone rapidly tunes synaptic NMDA receptor through membrane dynamics and mineralocorticoid signalling. Scientific Reports. 7(1). 8053–8053. 49 indexed citations

Sarabdjitsingh, R. Angela, Amber Kerkhofs, Lenka Mikasová, et al.. (2016). Hippocampal Fast Glutamatergic Transmission Is Transiently Regulated by Corticosterone Pulsatility. PLoS ONE. 11(1). e0145858–e0145858. 28 indexed citations

Sarabdjitsingh, R. Angela, Julie Jézéquel, Lenka Mikasová, et al.. (2014). Ultradian corticosterone pulses balance glutamatergic transmission and synaptic plasticity. Proceedings of the National Academy of Sciences. 111(39). 14265–14270. 58 indexed citations

Moorman, Sanne, et al.. (2012). Human-like brain hemispheric dominance in birdsong learning. Proceedings of the National Academy of Sciences. 109(31). 12782–12787. 70 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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