Kristel van Eijk

3.7k total citations · 1 hit paper
6 papers, 500 citations indexed

About

Kristel van Eijk is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Kristel van Eijk has authored 6 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Cognitive Neuroscience and 2 papers in Psychiatry and Mental health. Recurrent topics in Kristel van Eijk's work include Functional Brain Connectivity Studies (2 papers), Adenosine and Purinergic Signaling (1 paper) and Neural dynamics and brain function (1 paper). Kristel van Eijk is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Adenosine and Purinergic Signaling (1 paper) and Neural dynamics and brain function (1 paper). Kristel van Eijk collaborates with scholars based in Netherlands, Belgium and United States. Kristel van Eijk's co-authors include Steve Horvath, Leonard H. van den Berg, Yafeng Zhang, René S. Kahn, Roel A. Ophoff, Marco P. Boks, Peter Langfelder, Jurjen J. Luykx, Roy G. Brower and Egbert Bos and has published in prestigious journals such as Genome biology, Brain Behavior and Immunity and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

In The Last Decade

Kristel van Eijk

6 papers receiving 494 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.

Aging effects on DNA methylation modules in human brain and blood tissue

2012 469 citations Steve Horvath, Yafeng Zhang et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kristel van Eijk Netherlands	5	386	143	82	61	35	6	500
Srilaxmi Nerella United States	12	565 1.5×	299 2.1×	68 0.8×	97 1.6×	49 1.4×	16	752
Andy Madrid United States	13	241 0.6×	94 0.7×	67 0.8×	37 0.6×	16 0.5×	27	458
Natasha L. Pacheco United States	8	184 0.5×	92 0.6×	30 0.4×	55 0.9×	30 0.9×	11	423
Laura Feldcamp Canada	6	509 1.3×	247 1.7×	108 1.3×	33 0.5×	19 0.5×	7	721
Alexandra D. Hudson United States	5	325 0.8×	165 1.2×	29 0.4×	36 0.6×	21 0.6×	6	404
Tadasu Horai Japan	12	182 0.5×	94 0.7×	56 0.7×	51 0.8×	12 0.3×	32	372
Carolyn Ptak Canada	6	560 1.5×	334 2.3×	165 2.0×	49 0.8×	26 0.7×	7	805
Hamel Patel United Kingdom	13	193 0.5×	218 1.5×	49 0.6×	87 1.4×	19 0.5×	27	623
Kristel R. van Eijk Netherlands	15	381 1.0×	272 1.9×	55 0.7×	49 0.8×	34 1.0×	23	783
Radhika Kandaswamy United Kingdom	13	407 1.1×	289 2.0×	46 0.6×	23 0.4×	34 1.0×	21	679

Countries citing papers authored by Kristel van Eijk

Since Specialization

Citations

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

Fields of papers citing papers by Kristel van Eijk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristel van Eijk

This figure shows the co-authorship network connecting the top 25 collaborators of Kristel van Eijk. A scholar is included among the top collaborators of Kristel van Eijk 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 Kristel van Eijk. Kristel van Eijk 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:

6 of 6 papers shown

1.

Lin, Bochao, et al.. (2022). A polygenic-informed approach to a predictive EEG signature empowers antidepressant treatment prediction: A proof-of-concept study. European Neuropsychopharmacology. 62. 49–60. 9 indexed citations

2.

Lin, Bochao, Guido van Wingen, Evian Gordon, et al.. (2021). A polygenic-informed approach to a predictive EEG signature empowers stratified antidepressant treatment. Brain stimulation. 14(6). 1694–1695. 2 indexed citations

3.

Boks, Marco P., Chris D. Schubart, Willemijn van Gastel, et al.. (2020). Cannabinoids and psychotic symptoms: A potential role for a genetic variant in the P2X purinoceptor 7 (P2RX7) gene. Brain Behavior and Immunity. 88. 573–581. 9 indexed citations

4.

Nuninga, Jasper O., Kristel van Eijk, Edwin van Dellen, et al.. (2020). Genetic underpinnings of schizophrenia-related electroencephalographical intermediate phenotypes: A systematic review and meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 104. 110001–110001. 7 indexed citations

5.

Horvath, Steve, Yafeng Zhang, Peter Langfelder, et al.. (2012). Aging effects on DNA methylation modules in human brain and blood tissue. Genome biology. 13(10). R97–R97. 469 indexed citations breakdown →

6.

Brower, Roy G., et al.. (1981). Sequential versus Conventional Coronary Artery Bypass Graft Surgery in Matched Patient Groups. The Thoracic and Cardiovascular Surgeon. 29(3). 158–162. 4 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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