Simon Rumpel

3.7k total citations · 2 hit papers
41 papers, 2.5k citations indexed

About

Simon Rumpel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Simon Rumpel has authored 41 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 29 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Simon Rumpel's work include Neural dynamics and brain function (25 papers), Neuroscience and Neuropharmacology Research (21 papers) and Photoreceptor and optogenetics research (8 papers). Simon Rumpel is often cited by papers focused on Neural dynamics and brain function (25 papers), Neuroscience and Neuropharmacology Research (21 papers) and Photoreceptor and optogenetics research (8 papers). Simon Rumpel collaborates with scholars based in Germany, Austria and United States. Simon Rumpel's co-authors include Roberto Malinow, Anthony M. Zador, Joseph E. LeDoux, Dominik F. Aschauer, Sebastian Kreuz, Yonatan Loewenstein, Matthew Klein, Ingrid Ehrlich, Kurt Gottmann and Brice Bathellier and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Simon Rumpel

37 papers receiving 2.5k citations

Hit Papers

Postsynaptic Receptor Trafficking Underlying a Form of As... 2005 2026 2012 2019 2005 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Rumpel Germany 18 1.7k 1.3k 785 249 233 41 2.5k
Raphael Lamprecht Israel 22 1.6k 1.0× 910 0.7× 758 1.0× 319 1.3× 180 0.8× 51 2.4k
Kevin J. Bender United States 29 1.8k 1.0× 1.1k 0.9× 966 1.2× 173 0.7× 356 1.5× 51 2.8k
Melanie A. Woodin Canada 28 1.7k 1.0× 1.0k 0.8× 1.1k 1.4× 220 0.9× 141 0.6× 49 2.7k
Lynn E. Dobrunz United States 26 1.9k 1.1× 1.1k 0.8× 1.1k 1.3× 225 0.9× 170 0.7× 50 2.8k
Alison L. Barth United States 30 2.6k 1.6× 1.9k 1.5× 1.1k 1.5× 284 1.1× 149 0.6× 70 3.7k
Akiko Hayashi‐Takagi Japan 22 1.7k 1.0× 931 0.7× 1.3k 1.7× 273 1.1× 425 1.8× 32 3.3k
Tomás J. Ryan United States 18 2.1k 1.2× 1.7k 1.3× 781 1.0× 405 1.6× 135 0.6× 34 3.0k
Robin Tremblay United States 10 1.5k 0.9× 1.3k 1.0× 567 0.7× 207 0.8× 104 0.4× 10 2.2k
Jennifer N. Bourne United States 20 1.8k 1.1× 784 0.6× 959 1.2× 353 1.4× 175 0.8× 31 2.8k
Daniel J. O’Shea United States 11 1.9k 1.1× 1.9k 1.5× 573 0.7× 176 0.7× 304 1.3× 16 3.1k

Countries citing papers authored by Simon Rumpel

Since Specialization
Citations

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

Fields of papers citing papers by Simon Rumpel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Rumpel

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Rumpel. A scholar is included among the top collaborators of Simon Rumpel 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 Simon Rumpel. Simon Rumpel 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.
Aschauer, Dominik F., et al.. (2026). Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning. Proceedings of the National Academy of Sciences. 123(5). e2503046123–e2503046123.
2.
Kaschube, Matthias, et al.. (2025). Perceptual and semantic maps in individual humans share structural features that predict creative abilities. Communications Psychology. 3(1). 30–30. 2 indexed citations
3.
Noda, Takahiro, Eike Kienle, Dominik F. Aschauer, et al.. (2025). Homeostasis of a representational map in the neocortex. Nature Neuroscience. 28(7). 1533–1545.
5.
Aschauer, Dominik F., Alexander Arlt, Jeanette A.M. Maier, et al.. (2024). Premature cognitive decline in a mouse model of tuberous sclerosis. Aging Cell. 23(12). e14318–e14318. 1 indexed citations
6.
Rumpel, Simon, et al.. (2024). Validation of a German version of the Boredom Proneness Scale and the Multidimensional State Boredom Scale. Scientific Reports. 14(1). 2905–2905. 2 indexed citations
7.
Noda, Takahiro, et al.. (2024). Representational maps in the brain: concepts, approaches, and applications. Frontiers in Cellular Neuroscience. 18. 1366200–1366200. 3 indexed citations
8.
Rumpel, Simon, et al.. (2023). Modeling fashion as an emergent collective behavior of bored individuals. Scientific Reports. 13(1). 20480–20480. 2 indexed citations
9.
Kienle, Eike, Martin Oti, María Méndez-Lago, et al.. (2023). An unbiased AAV-STARR-seq screen revealing the enhancer activity map of genomic regions in the mouse brain in vivo. Scientific Reports. 13(1). 6745–6745. 10 indexed citations
10.
Rumpel, Simon, et al.. (2023). High state boredom vastly affects psychiatric inpatients and predicts their treatment duration. Translational Psychiatry. 13(1). 350–350. 6 indexed citations
11.
Chambers, Anna R., et al.. (2022). A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties. Cerebral Cortex. 33(9). 5597–5612. 5 indexed citations
12.
Peter, Manuel, Dominik F. Aschauer, Anne Sinning, et al.. (2021). Rapid nucleus-scale reorganization of chromatin in neurons enables transcriptional adaptation for memory consolidation. PLoS ONE. 16(5). e0244038–e0244038. 8 indexed citations
13.
Ceballo, Sebastián, Alexandre Kempf, Zuzanna Piwkowska, et al.. (2019). Cortical recruitment determines learning dynamics and strategy. Nature Communications. 10(1). 1479–1479. 10 indexed citations
14.
Mongillo, Gianluigi, Simon Rumpel, & Yonatan Loewenstein. (2018). Inhibitory connectivity defines the realm of excitatory plasticity. Nature Neuroscience. 21(10). 1463–1470. 86 indexed citations
15.
Mongillo, Gianluigi, Simon Rumpel, & Yonatan Loewenstein. (2017). Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory. Current Opinion in Neurobiology. 46. 7–13. 66 indexed citations
16.
Aschauer, Dominik F. & Simon Rumpel. (2016). The Sensory Neocortex and Associative Memory. Current topics in behavioral neurosciences. 37. 177–211. 10 indexed citations
17.
Loewenstein, Yonatan, et al.. (2015). Predicting the Dynamics of Network Connectivity in the Neocortex. Journal of Neuroscience. 35(36). 12535–12544. 55 indexed citations
18.
Fischer, Ruth M., Bruno M. Fontinha, Stephan Kirchmaier, et al.. (2013). Co-Expression of VAL- and TMT-Opsins Uncovers Ancient Photosensory Interneurons and Motorneurons in the Vertebrate Brain. PLoS Biology. 11(6). e1001585–e1001585. 58 indexed citations
19.
Bathellier, Brice, Lyubov Ushakova, & Simon Rumpel. (2012). Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds. Neuron. 76(2). 435–449. 140 indexed citations
20.
Rumpel, Simon, Joseph E. LeDoux, Anthony M. Zador, & Roberto Malinow. (2005). Postsynaptic Receptor Trafficking Underlying a Form of Associative Learning. Science. 308(5718). 83–88. 592 indexed citations breakdown →

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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