Jon-Ruben van Rhijn

486 total citations
10 papers, 229 citations indexed

About

Jon-Ruben van Rhijn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Jon-Ruben van Rhijn has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Jon-Ruben van Rhijn's work include Genetics and Neurodevelopmental Disorders (4 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jon-Ruben van Rhijn is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jon-Ruben van Rhijn collaborates with scholars based in Netherlands, France and Norway. Jon-Ruben van Rhijn's co-authors include Nael Nadif Kasri, Dirk Schubert, Monica Frega, Cornelis A. Albers, Katrin Linda, Jason Keller, Tjitske Kleefstra, Sonja C. Vernes, Simon E. Fisher and Chantal Schoenmaker and has published in prestigious journals such as Cell Reports, Neurobiology of Disease and Toxicon.

In The Last Decade

Jon-Ruben van Rhijn

9 papers receiving 226 citations

Peers

Jon-Ruben van Rhijn
Chloé Delépine United States
Ilaria Chiaradia United Kingdom
Victoria H. Roberton United Kingdom
Yann Ehinger United States
Britt Mossink Netherlands
Elly Lewerissa Netherlands
Jon-Ruben van Rhijn
Citations per year, relative to Jon-Ruben van Rhijn Jon-Ruben van Rhijn (= 1×) peers Chantal Schoenmaker

Countries citing papers authored by Jon-Ruben van Rhijn

Since Specialization
Citations

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

Fields of papers citing papers by Jon-Ruben van Rhijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon-Ruben van Rhijn. 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 Jon-Ruben van Rhijn. The network helps show where Jon-Ruben van Rhijn may publish in the future.

Co-authorship network of co-authors of Jon-Ruben van Rhijn

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

All Works

10 of 10 papers shown
1.
Wever, Kimberley E., Jon-Ruben van Rhijn, Hendrik Gremmels, et al.. (2024). Systematic review and meta-analysis of the effect of bone marrow-derived cell therapies on hind limb perfusion. Disease Models & Mechanisms. 17(5). 1 indexed citations
2.
Vlasblom, Ronald, Mátyás A. Bittenbinder, Jon-Ruben van Rhijn, et al.. (2024). Distinct cardiotoxic effects by venoms of a spitting cobra (Naja pallida) and a rattlesnake (Crotalus atrox) revealed using an ex vivo Langendorff heart model. Toxicon. 240. 107637–107637.
3.
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
4.
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
5.
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
6.
Wang, Shan, et al.. (2021). SETD1A Mediated H3K4 Methylation and Its Role in Neurodevelopmental and Neuropsychiatric Disorders. Frontiers in Molecular Neuroscience. 14. 772000–772000. 21 indexed citations
7.
Wang, Shan, Jon-Ruben van Rhijn, Ibrahim A. Akkouh, et al.. (2021). Loss-of-Function Variants in the Schizophrenia Risk Gene Setd1a Alter Neuronal Network Activity in Human Neurons Through Camp/Pka Pathway. SSRN Electronic Journal. 2 indexed citations
8.
Rhijn, Jon-Ruben van, Simon E. Fisher, Sonja C. Vernes, & Nael Nadif Kasri. (2018). Foxp2 loss of function increases striatal direct pathway inhibition via increased GABA release. Brain Structure and Function. 223(9). 4211–4226. 21 indexed citations
9.
Frega, Monica, Katrin Linda, Jason Keller, et al.. (2017). Rapid Neuronal Differentiation of Induced Pluripotent Stem Cells for Measuring Network Activity on Micro-electrode Arrays. Journal of Visualized Experiments. 107 indexed citations
10.
Frega, Monica, Katrin Linda, Jason Keller, et al.. (2017). Rapid Neuronal Differentiation of Induced Pluripotent Stem Cells for Measuring Network Activity on Micro-electrode Arrays. Journal of Visualized Experiments. 22 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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