A. J. C. Eijlers

1.2k total citations
27 papers, 843 citations indexed

About

A. J. C. Eijlers is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. J. C. Eijlers has authored 27 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 13 papers in Cognitive Neuroscience and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. J. C. Eijlers's work include Multiple Sclerosis Research Studies (23 papers), Functional Brain Connectivity Studies (12 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). A. J. C. Eijlers is often cited by papers focused on Multiple Sclerosis Research Studies (23 papers), Functional Brain Connectivity Studies (12 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). A. J. C. Eijlers collaborates with scholars based in Netherlands, United Kingdom and United States. A. J. C. Eijlers's co-authors include Menno M. Schoonheim, Jeroen J.G. Geurts, Bernard M.J. Uitdehaag, Kim Meijer, Frederik Barkhof, Iris Dekker, Martijn D. Steenwijk, Hanneke E. Hulst, Quinten van Geest and Linda Douw and has published in prestigious journals such as Brain, Neurology and Radiology.

In The Last Decade

A. J. C. Eijlers

27 papers receiving 841 citations

Peers

A. J. C. Eijlers
Alberto Cifelli United Kingdom
Zeenat Jaisani United States
Christopher W. Tjoa United States
A. J. C. Eijlers
Citations per year, relative to A. J. C. Eijlers A. J. C. Eijlers (= 1×) peers My Van Au Duong

Countries citing papers authored by A. J. C. Eijlers

Since Specialization
Citations

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

Fields of papers citing papers by A. J. C. Eijlers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. C. Eijlers. 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 A. J. C. Eijlers. The network helps show where A. J. C. Eijlers may publish in the future.

Co-authorship network of co-authors of A. J. C. Eijlers

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

All Works

20 of 20 papers shown
1.
Eijlers, A. J. C., Iris Dekker, Hanneke E. Hulst, et al.. (2023). Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis. Brain Communications. 6(1). fcae018–fcae018. 2 indexed citations
2.
Broeders, Tommy A.A., Linda Douw, A. J. C. Eijlers, et al.. (2022). A more unstable resting-state functional network in cognitively declining multiple sclerosis. Brain Communications. 4(2). fcac095–fcac095. 13 indexed citations
3.
Schoonheim, Menno M., Linda Douw, Tommy A.A. Broeders, et al.. (2021). The cerebellum and its network: Disrupted static and dynamic functional connectivity patterns and cognitive impairment in multiple sclerosis. Multiple Sclerosis Journal. 27(13). 2031–2039. 23 indexed citations
4.
Dekker, Iris, Menno M. Schoonheim, Vikram Venkatraghavan, et al.. (2020). The sequence of structural, functional and cognitive changes in multiple sclerosis. NeuroImage Clinical. 29. 102550–102550. 23 indexed citations
5.
Strik, Myrte, Declan Chard, Iris Dekker, et al.. (2020). Increased functional sensorimotor network efficiency relates to disability in multiple sclerosis. Multiple Sclerosis Journal. 27(9). 1364–1373. 15 indexed citations
6.
Nauta, Ilse M., A. J. C. Eijlers, Eva Strijbis, et al.. (2020). Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis. Multiple Sclerosis Journal. 27(11). 1727–1737. 15 indexed citations
7.
Eijlers, A. J. C., Iris Dekker, Kim Meijer, et al.. (2019). Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology. 93(14). e1348–e1359. 60 indexed citations
8.
Eijlers, A. J. C., Alle Meije Wink, Kim Meijer, et al.. (2019). Functional Network Dynamics on Functional MRI: A Primer on an Emerging Frontier in Neuroscience. Radiology. 292(2). 460–463. 6 indexed citations
9.
Eijlers, A. J. C., Alle Meije Wink, Kim Meijer, et al.. (2019). Reduced Network Dynamics on Functional MRI Signals Cognitive Impairment in Multiple Sclerosis. Radiology. 292(2). 449–457. 48 indexed citations
10.
Eijlers, A. J. C., Kim Meijer, Quinten van Geest, Jeroen J.G. Geurts, & Menno M. Schoonheim. (2018). Determinants of Cognitive Impairment in Patients with Multiple Sclerosis with and without Atrophy. Radiology. 288(2). 544–551. 39 indexed citations
11.
Leurs, Cyra E, Melissa A Lopes Pinheiro, Sandra den Hoedt, et al.. (2018). Acid sphingomyelinase: No potential as a biomarker for multiple sclerosis. Multiple Sclerosis and Related Disorders. 28. 44–49. 7 indexed citations
12.
Geest, Quinten van, et al.. (2018). Is impaired information processing speed a matter of structural or functional damage in MS?. NeuroImage Clinical. 20. 844–850. 30 indexed citations
13.
Eijlers, A. J. C., Quinten van Geest, Iris Dekker, et al.. (2018). Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study. Brain. 141(9). 2605–2618. 163 indexed citations
14.
Bridel, Claire, A. J. C. Eijlers, Wessel N. van Wieringen, et al.. (2018). No Plasmatic Proteomic Signature at Clinical Disease Onset Associated With 11 Year Clinical, Cognitive and MRI Outcomes in Relapsing-Remitting Multiple Sclerosis Patients. Frontiers in Molecular Neuroscience. 11. 371–371. 2 indexed citations
15.
Eijlers, A. J. C., et al.. (2017). Staging of cortical and deep grey matter functional connectivity changes in multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 89(2). 205–210. 21 indexed citations
16.
Eijlers, A. J. C., et al.. (2017). Are saccadic eye movements related to cognitive function in multiple sclerosis. Pure Amsterdam UMC. 23. 484–485. 2 indexed citations
17.
Balk, Lisanne J., A. J. C. Eijlers, Menno M. Schoonheim, et al.. (2017). Cognitive impairment in patients with multiple sclerosis is associated with atrophy of the inner retinal layers. Multiple Sclerosis Journal. 24(2). 158–166. 55 indexed citations
18.
Eijlers, A. J. C., Kim Meijer, Thomas Wassenaar, et al.. (2017). Increased default-mode network centrality in cognitively impaired multiple sclerosis patients. Neurology. 88(10). 952–960. 89 indexed citations
19.
Klauser, Antoine, Oliver T. Wiebenga, A. J. C. Eijlers, et al.. (2017). Metabolites predict lesion formation and severity in relapsing-remitting multiple sclerosis. Multiple Sclerosis Journal. 24(4). 491–500. 18 indexed citations
20.
Balk, Lisanne J., A. J. C. Eijlers, Menno M. Schoonheim, et al.. (2015). Atrophy of the retinal nerve fiber layer and ganglion cell-inner plexiform layer is associated with cognitive impairment in multiple sclerosis. Pure Amsterdam UMC. 21. 7–8. 3 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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