Erik De Schutter

9.5k total citations
189 papers, 5.9k citations indexed

About

Erik De Schutter is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Erik De Schutter has authored 189 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Cognitive Neuroscience, 91 papers in Cellular and Molecular Neuroscience and 63 papers in Neurology. Recurrent topics in Erik De Schutter's work include Neural dynamics and brain function (96 papers), Neuroscience and Neuropharmacology Research (69 papers) and Vestibular and auditory disorders (63 papers). Erik De Schutter is often cited by papers focused on Neural dynamics and brain function (96 papers), Neuroscience and Neuropharmacology Research (69 papers) and Vestibular and auditory disorders (63 papers). Erik De Schutter collaborates with scholars based in Belgium, Japan and United States. Erik De Schutter's co-authors include James M. Bower, Reinoud Maex, Pablo Achard, Sungho Hong, Bart P. Vos, Stefan Wils, Fidel Santamarı́a, Volker Steuber, George J Augustine and Dieter Jaeger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Erik De Schutter

181 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik De Schutter Belgium 40 3.3k 3.0k 1.9k 1.1k 908 189 5.9k
Yosef Yarom Israel 42 4.2k 1.3× 5.1k 1.7× 1.5k 0.8× 2.0k 1.8× 889 1.0× 98 7.7k
James M. Bower United States 56 6.0k 1.8× 4.4k 1.4× 3.3k 1.7× 1.4k 1.2× 2.3k 2.5× 154 10.3k
R. Angus Silver United Kingdom 44 4.0k 1.2× 5.7k 1.9× 1.4k 0.7× 2.6k 2.3× 901 1.0× 78 7.9k
Rodolfó R. Llinás United States 46 5.5k 1.7× 5.5k 1.8× 1.2k 0.6× 2.9k 2.5× 829 0.9× 110 10.6k
Hajime Hirase Japan 45 6.7k 2.0× 7.4k 2.4× 1.5k 0.8× 1.3k 1.1× 279 0.3× 94 10.0k
T. J. Sejnowski United States 30 7.1k 2.2× 4.0k 1.3× 520 0.3× 1.1k 1.0× 342 0.4× 48 9.9k
Egidio D’Angelo Italy 54 3.9k 1.2× 4.2k 1.4× 4.2k 2.2× 2.0k 1.7× 1.7k 1.9× 241 9.0k
Gilad Silberberg Sweden 38 4.3k 1.3× 4.7k 1.6× 512 0.3× 1.8k 1.5× 364 0.4× 83 7.2k
Troy W. Margrie United Kingdom 34 2.5k 0.8× 3.4k 1.1× 761 0.4× 887 0.8× 1.6k 1.8× 71 5.2k
Yasushi Miyashita Japan 62 10.8k 3.3× 4.5k 1.5× 1.5k 0.8× 2.2k 1.9× 859 0.9× 232 16.0k

Countries citing papers authored by Erik De Schutter

Since Specialization
Citations

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

Fields of papers citing papers by Erik De Schutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik De Schutter. 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 Erik De Schutter. The network helps show where Erik De Schutter may publish in the future.

Co-authorship network of co-authors of Erik De Schutter

This figure shows the co-authorship network connecting the top 25 collaborators of Erik De Schutter. A scholar is included among the top collaborators of Erik De Schutter 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 Erik De Schutter. Erik De Schutter 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.
Chen, Weiliang, et al.. (2024). Vesicle and reaction-diffusion hybrid modeling with STEPS. Communications Biology. 7(1). 573–573. 4 indexed citations
2.
Schutter, Erik De, et al.. (2023). Models of Purkinje cell dendritic tree selection during early cerebellar development. PLoS Computational Biology. 19(7). e1011320–e1011320. 2 indexed citations
3.
Schutter, Erik De, et al.. (2022). Self-configuring feedback loops for sensorimotor control. eLife. 11. 5 indexed citations
4.
Schutter, Erik De, et al.. (2022). A differential Hebbian framework for biologically-plausible motor control. Neural Networks. 150. 237–258. 3 indexed citations
5.
Denizot, Audrey, Misa Arizono, U. Valentin Nägerl, Hugues Berry, & Erik De Schutter. (2022). Control of Ca 2+ signals by astrocyte nanoscale morphology at tripartite synapses. Glia. 70(12). 2378–2391. 18 indexed citations
6.
Zang, Yunliang & Erik De Schutter. (2019). Climbing Fibers Provide Graded Error Signals in Cerebellar Learning. Frontiers in Systems Neuroscience. 13. 46–46. 29 indexed citations
7.
Schutter, Erik De, et al.. (2018). Ca2+ Requirements for Long-Term Depression Are Frequency Sensitive in Purkinje Cells. Frontiers in Molecular Neuroscience. 11. 438–438. 18 indexed citations
8.
Couto, João, Daniele Linaro, Erik De Schutter, & Michèle Giugliano. (2015). On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro. PLoS Computational Biology. 11(3). e1004112–e1004112. 20 indexed citations
9.
Simon, Cory M., et al.. (2013). The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors. Journal of Computational Neuroscience. 36(3). 483–497. 17 indexed citations
10.
Myung, Jihwan, Sungho Hong, Fumiyuki Hatanaka, et al.. (2012). Period Coding of Bmal1 Oscillators in the Suprachiasmatic Nucleus. Journal of Neuroscience. 32(26). 8900–8918. 57 indexed citations
11.
Labro, Alain J., et al.. (2012). Quantitative single-cell ion-channel gene expression profiling through an improved qRT-PCR technique combined with whole cell patch clamp. Journal of Neuroscience Methods. 209(1). 227–234. 16 indexed citations
12.
Schutter, Erik De. (2012). The importance of stochastic signaling processes in the induction of long-term synaptic plasticity. Neural Networks. 47. 3–10. 4 indexed citations
13.
Sinclair, Robert, et al.. (2012). Geometric Theory Predicts Bifurcations in Minimal Wiring Cost Trees in Biology Are Flat. PLoS Computational Biology. 8(4). e1002474–e1002474. 15 indexed citations
14.
Schutter, Erik De, Giorgio A. Ascoli, & David N. Kennedy. (2009). Review of Papers Describing Neuroinformatics Software. Neuroinformatics. 7(4). 211–212. 2 indexed citations
15.
Leergaard, Trygve B., et al.. (2006). Topographical organization of pathways from somatosensory cortex through the pontine nuclei to tactile regions of the rat cerebellar hemispheres. European Journal of Neuroscience. 24(10). 2801–2812. 29 indexed citations
16.
Claeys, Kristl G., Guy A. Orban, Patrick Dupont, et al.. (2003). Involvement of multiple functionally distinct cerebellar regions in visual discrimination: a human functional imaging study. NeuroImage. 20(2). 840–854. 19 indexed citations
17.
Schutter, Erik De, et al.. (2003). Unraveling the cerebellar cortex: cytology and cellular physiology of large-sized interneurons in the granular layer. The Cerebellum. 2(4). 290–299. 59 indexed citations
18.
Schutter, Erik De, et al.. (2002). Localization of 5-HT2A, 5-HT3, 5-HT5A and 5-HT7 receptor-like immunoreactivity in the rat cerebellum. Journal of Chemical Neuroanatomy. 24(1). 65–74. 62 indexed citations
19.
Schutter, Erik De, Bart P. Vos, & Reinoud Maex. (2000). The function of cerebellar Golgi cells revisited. Progress in brain research. 124. 81–93. 29 indexed citations
20.
Schutter, Erik De & Reinoud Maex. (1996). The cerebellum: cortical processing and theory. Current Opinion in Neurobiology. 6(6). 759–764. 27 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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