Kim van Dun

2.1k total citations
36 papers, 1.1k citations indexed

About

Kim van Dun is a scholar working on Cognitive Neuroscience, Neurology and Social Psychology. According to data from OpenAlex, Kim van Dun has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 20 papers in Neurology and 8 papers in Social Psychology. Recurrent topics in Kim van Dun's work include Vestibular and auditory disorders (16 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Neurobiology of Language and Bilingualism (8 papers). Kim van Dun is often cited by papers focused on Vestibular and auditory disorders (16 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Neurobiology of Language and Bilingualism (8 papers). Kim van Dun collaborates with scholars based in Belgium, United Kingdom and Netherlands. Kim van Dun's co-authors include Mario Manto, Peter Mariën, Frank Van Overwalle, Florian Bodranghien, Elien Heleven, Jeremy D. Schmahmann, Raf Meesen, Stefanie Verstraelen, Jo Verhoeven and Amy J. Bastian and has published in prestigious journals such as NeuroImage, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Kim van Dun

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim van Dun Belgium	16	572	457	194	178	153	36	1.1k
Nordeyn Oulad Ben Taib Belgium	14	550 1.0×	450 1.0×	221 1.1×	221 1.2×	103 0.7×	21	1.2k
Omar A. Gharbawie United States	23	503 0.9×	862 1.9×	457 2.4×	155 0.9×	227 1.5×	36	1.5k
Anthony T. Barker United Kingdom	19	496 0.9×	543 1.2×	158 0.8×	89 0.5×	60 0.4×	38	1.3k
Javier J. González-Rosa Spain	21	374 0.7×	546 1.2×	146 0.8×	157 0.9×	77 0.5×	55	1.0k
Katsumi Nakajima Japan	18	282 0.5×	459 1.0×	167 0.9×	123 0.7×	220 1.4×	33	1.1k
Georgios P. D. Argyropoulos United Kingdom	13	580 1.0×	374 0.8×	159 0.8×	178 1.0×	60 0.4×	20	868
Suzete Nascimento Farias da Guarda Brazil	7	303 0.5×	320 0.7×	127 0.7×	132 0.7×	59 0.4×	16	768
Kerstin Irlbacher Germany	21	787 1.4×	705 1.5×	168 0.9×	154 0.9×	61 0.4×	40	1.3k
Deborah Ely Budding United States	11	372 0.7×	685 1.5×	176 0.9×	141 0.8×	214 1.4×	14	1.5k
Markus Frings Germany	17	356 0.6×	243 0.5×	261 1.3×	219 1.2×	68 0.4×	25	983

Countries citing papers authored by Kim van Dun

Since Specialization

Citations

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

Fields of papers citing papers by Kim van Dun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim van Dun

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

All Works

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20 of 20 papers shown

Dun, Kim van, et al.. (2023). Optimizing the Effect of tDCS on Motor Sequence Learning in the Elderly. Brain Sciences. 13(1). 137–137. 9 indexed citations

Dun, Kim van, et al.. (2023). Midfrontal Theta and Cognitive Control During Interlimb Coordination Across the Adult Lifespan. Journal of Motor Behavior. 55(3). 278–288. 2 indexed citations

Dun, Kim van, Stefanie Verstraelen, Veerle Ross, et al.. (2022). Age-related changes in midfrontal theta activity during steering control: A driving simulator study. Neurobiology of Aging. 123. 145–153. 5 indexed citations

Dun, Kim van, et al.. (2022). Age and Interlimb Coordination Complexity Modulate Oscillatory Spectral Dynamics and Large-scale Functional Connectivity. Neuroscience. 496. 1–15. 11 indexed citations

Dun, Kim van, Mario Manto, & Raf Meesen. (2022). Cerebellum and Neurorehabilitation in Emotion with a Focus on Neuromodulation. Advances in experimental medicine and biology. 1378. 285–299. 10 indexed citations

Verstraelen, Stefanie, Kim van Dun, Asif Jamil, et al.. (2021). Dissociating the causal role of left and right dorsal premotor cortices in planning and executing bimanual movements – A neuro-navigated rTMS study. Brain stimulation. 14(2). 423–434. 16 indexed citations

Dun, Kim van, et al.. (2021). Cerebellar Activation During Simple and Complex Bimanual Coordination: an Activation Likelihood Estimation (ALE) Meta-analysis. The Cerebellum. 21(6). 987–1013. 9 indexed citations

Heleven, Elien, Kim van Dun, Sara De Witte, Chris Baeken, & Frank Van Overwalle. (2021). The Role of the Cerebellum in Social and Non-Social Action Sequences: A Preliminary LF-rTMS Study. Frontiers in Human Neuroscience. 15. 593821–593821. 33 indexed citations

Moumdjian, Lousin, et al.. (2021). Motor sequence learning in a goal‐directed stepping task in persons with multiple sclerosis: a pilot study. Annals of the New York Academy of Sciences. 1508(1). 155–171. 2 indexed citations

10.

Heleven, Elien, Kim van Dun, & Frank Van Overwalle. (2019). The posterior Cerebellum is involved in constructing Social Action Sequences: An fMRI Study. Scientific Reports. 9(1). 11110–11110. 74 indexed citations

11.

Argyropoulos, Georgios P. D., Kim van Dun, Michael Adamaszek, et al.. (2019). The Cerebellar Cognitive Affective/Schmahmann Syndrome: a Task Force Paper. The Cerebellum. 19(1). 102–125. 150 indexed citations

12.

Overwalle, Frank Van, Frederik Van de Steen, Kim van Dun, & Elien Heleven. (2019). Connectivity between the cerebrum and cerebellum during social and non-social sequencing using dynamic causal modelling. NeuroImage. 206. 116326–116326. 60 indexed citations

13.

Dun, Kim van, Hiroshi Mitoma, & Mario Manto. (2018). Cerebellar Cortex as a Therapeutic Target for Neurostimulation. The Cerebellum. 17(6). 777–787. 17 indexed citations

14.

Dun, Kim van, Frank Van Overwalle, Mario Manto, & Peter Mariën. (2018). Cognitive Impact of Cerebellar Damage: Is There a Future for Cognitive Rehabilitation?. CNS & Neurological Disorders - Drug Targets. 17(3). 199–206. 12 indexed citations

15.

Mariën, Peter, Kim van Dun, Stefanie Keulen, et al.. (2017). Cerebellar induced differential polyglot aphasia: A neurolinguistic and fMRI study. Brain and Language. 175. 18–28. 16 indexed citations

16.

Dun, Kim van, et al.. (2015). Apraxic agraphia following thalamic damage: Three new cases. Brain and Language. 150. 153–165. 2 indexed citations

17.

Bodranghien, Florian, Amy J. Bastian, Carlo Casali, et al.. (2015). Consensus Paper: Revisiting the Symptoms and Signs of Cerebellar Syndrome. The Cerebellum. 15(3). 369–391. 248 indexed citations

18.

Dun, Kim van, et al.. (2015). Atypical cerebral and cerebellar language organisation: a case study. PubMed. 2(1). 18–18. 6 indexed citations

19.

Dun, Kim van, et al.. (2015). Apraxic agraphia following bithalamic damage. Brain and Cognition. 95. 35–43. 4 indexed citations

20.

Mariën, Peter, Kim van Dun, & Jo Verhoeven. (2014). Cerebellum and Apraxia. The Cerebellum. 14(1). 39–42. 17 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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