Dirk Schubert

4.3k total citations
69 papers, 2.6k citations indexed

About

Dirk Schubert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Dirk Schubert has authored 69 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 32 papers in Cognitive Neuroscience and 21 papers in Molecular Biology. Recurrent topics in Dirk Schubert's work include Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (17 papers). Dirk Schubert is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (17 papers). Dirk Schubert collaborates with scholars based in Netherlands, Germany and United States. Dirk Schubert's co-authors include Jochen F. Staiger, Rolf Kötter, Judith R. Homberg, Heiko J. Luhmann, Nael Nadif Kasri, Patrícia Gaspar, Karl Zilles, Sharon M. Kolk, Gerard J.M. Martens and Monica Frega and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Dirk Schubert

67 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Schubert Netherlands 30 1.2k 1.1k 700 286 275 69 2.6k
Laura Baroncelli Italy 27 1.4k 1.1× 1.1k 1.0× 942 1.3× 286 1.0× 202 0.7× 58 3.2k
Stephen C. Fowler United States 33 1.8k 1.5× 946 0.9× 1.1k 1.6× 421 1.5× 325 1.2× 177 4.0k
Bart Nuttin Belgium 41 2.2k 1.7× 1.5k 1.3× 520 0.7× 251 0.9× 131 0.5× 180 6.0k
Michelle Cheng United States 26 749 0.6× 516 0.5× 621 0.9× 146 0.5× 267 1.0× 62 2.8k
Jennifer Cummings United States 21 1.7k 1.3× 860 0.8× 978 1.4× 141 0.5× 246 0.9× 39 2.8k
Benjamin R. Arenkiel United States 35 1.7k 1.4× 942 0.9× 1.5k 2.2× 344 1.2× 269 1.0× 97 4.4k
Laura Cancedda Italy 34 2.5k 2.0× 912 0.8× 1.9k 2.7× 544 1.9× 330 1.2× 73 4.4k
Helen S. Bateup United States 25 1.2k 0.9× 617 0.6× 1.7k 2.4× 575 2.0× 171 0.6× 42 3.2k
Peter T. Ohara United States 37 2.2k 1.8× 1.0k 0.9× 987 1.4× 174 0.6× 92 0.3× 84 4.3k

Countries citing papers authored by Dirk Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Schubert. A scholar is included among the top collaborators of Dirk Schubert 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 Dirk Schubert. Dirk Schubert 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.
Qu, Muchao, et al.. (2024). Multifunctional hierarchical electronic skins: Unveiling self-repairing mechanisms and advancements in sensing and shielding performance. Composites Science and Technology. 256. 110769–110769. 2 indexed citations
2.
Hugte, Eline van, Elly Lewerissa, Ka Man Wu, et al.. (2023). SCN1A -deficient excitatory neuronal networks display mutation-specific phenotypes. Brain. 146(12). 5153–5167. 22 indexed citations
3.
Hugte, Eline van, Hil G. E. Meijer, Dirk Schubert, et al.. (2023). An in silico and in vitro human neuronal network model reveals cellular mechanisms beyond NaV1.1 underlying Dravet syndrome. Stem Cell Reports. 18(8). 1686–1700. 9 indexed citations
4.
Rhijn, Jon-Ruben van, Anna Esteve‐Codina, Mandy Meijer, et al.. (2023). A human in vitro neuronal model for studying homeostatic plasticity at the network level. Stem Cell Reports. 18(11). 2222–2239. 5 indexed citations
5.
6.
Negwer, Moritz, et al.. (2022). FriendlyClearMap: an optimized toolkit for mouse brain mapping and analysis. GigaScience. 12. 3 indexed citations
7.
Wang, Shan, Jon-Ruben van Rhijn, Ibrahim A. Akkouh, et al.. (2022). Loss-of-function variants in the schizophrenia risk gene SETD1A alter neuronal network activity in human neurons through the cAMP/PKA pathway. Cell Reports. 39(5). 110790–110790. 37 indexed citations
8.
Rhijn, Jon-Ruben van, Maren Bormann, Britt Mossink, et al.. (2021). Brunner syndrome associated MAOA mutations result in NMDAR hyperfunction and increased network activity in human dopaminergic neurons. Neurobiology of Disease. 163. 105587–105587. 13 indexed citations
9.
Mossink, Britt, Anouk H. A. Verboven, Eline van Hugte, et al.. (2021). Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro. Stem Cell Reports. 16(9). 2182–2196. 67 indexed citations
10.
Frega, Monica, Martijn Selten, Britt Mossink, et al.. (2020). Distinct Pathogenic Genes Causing Intellectual Disability and Autism Exhibit a Common Neuronal Network Hyperactivity Phenotype. Cell Reports. 30(1). 173–186.e6. 37 indexed citations
11.
Frega, Monica, Katrin Linda, Jason M. Keller, et al.. (2019). Neuronal network dysfunction in a model for Kleefstra syndrome mediated by enhanced NMDAR signaling. Nature Communications. 10(1). 4928–4928. 82 indexed citations
12.
Selten, Martijn, Wei Ba, Astrid Vallès, et al.. (2016). Increased GABAB receptor signaling in a rat model for schizophrenia. Scientific Reports. 6(1). 34240–34240. 11 indexed citations
13.
Martens, Marijn Bart, Monica Frega, Lisa Epping, et al.. (2016). Euchromatin histone methyltransferase 1 regulates cortical neuronal network development. Scientific Reports. 6(1). 35756–35756. 29 indexed citations
14.
Staiger, Jochen F., Alexandre Loucif, Dirk Schubert, & Martin Möck. (2016). Morphological Characteristics of Electrophysiologically Characterized Layer Vb Pyramidal Cells in Rat Barrel Cortex. PLoS ONE. 11(10). e0164004–e0164004. 6 indexed citations
15.
Schubert, Dirk, Gerard J.M. Martens, & Sharon M. Kolk. (2014). Molecular underpinnings of prefrontal cortex development in rodents provide insights into the etiology of neurodevelopmental disorders. Molecular Psychiatry. 20(7). 795–809. 112 indexed citations
16.
Kolk, Sharon M., et al.. (2013). Genetic and pharmacological manipulations of the serotonergic system in early life: neurodevelopmental underpinnings of autism-related behavior. Frontiers in Cellular Neuroscience. 7. 72–72. 39 indexed citations
17.
Schubert, Dirk, et al.. (2009). Properties of glutamatergic synapses in immature layer Vb pyramidal neurons: coupling of pre- and postsynaptic maturational states. Experimental Brain Research. 200(2). 169–182. 3 indexed citations
18.
Schubert, Dirk, Rolf Kötter, Heiko J. Luhmann, & Jochen F. Staiger. (2005). Morphology, Electrophysiology and Functional Input Connectivity of Pyramidal Neurons Characterizes a Genuine Layer Va in the Primary Somatosensory Cortex. Cerebral Cortex. 16(2). 223–236. 116 indexed citations
19.
Altrock, Uwe & Dirk Schubert. (2004). Wachsende Stadt : Leitbild-Utopie-Vision?. VS Verlag für Sozialwissenschaften eBooks. 1 indexed citations
20.

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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