Sonja Grün

6.4k total citations
107 papers, 3.3k citations indexed

About

Sonja Grün is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Sonja Grün has authored 107 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Cognitive Neuroscience, 52 papers in Cellular and Molecular Neuroscience and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Sonja Grün's work include Neural dynamics and brain function (89 papers), Neuroscience and Neural Engineering (39 papers) and Functional Brain Connectivity Studies (25 papers). Sonja Grün is often cited by papers focused on Neural dynamics and brain function (89 papers), Neuroscience and Neural Engineering (39 papers) and Functional Brain Connectivity Studies (25 papers). Sonja Grün collaborates with scholars based in Germany, Japan and France. Sonja Grün's co-authors include Markus Diesmann, Junji Ito, Pedro Maldonado, Ad Aertsen, Alexa Riehle, Stefan Rotter, Michael Denker, Henrik Lindén, Gaute T. Einevoll and Tom Tetzlaff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Sonja Grün

98 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sonja Grün 2.8k 1.5k 493 412 346 107 3.3k
Christian K. Machens 3.0k 1.1× 1.3k 0.8× 322 0.7× 607 1.5× 486 1.4× 50 3.5k
Ilan Lampl 3.2k 1.1× 2.4k 1.6× 440 0.9× 424 1.0× 159 0.5× 48 3.8k
Emilio Salinas 5.3k 1.9× 1.9k 1.3× 460 0.9× 430 1.0× 368 1.1× 68 5.7k
Danko Nikolić 2.5k 0.9× 1.1k 0.8× 359 0.7× 245 0.6× 186 0.5× 50 3.1k
Eric Shea‐Brown 2.0k 0.7× 1.1k 0.7× 717 1.5× 360 0.9× 234 0.7× 76 2.4k
Keith P. Purpura 2.5k 0.9× 1.1k 0.8× 252 0.5× 286 0.7× 213 0.6× 49 3.0k
Tim P. Vogels 2.3k 0.8× 1.5k 1.0× 324 0.7× 907 2.2× 345 1.0× 35 2.9k
Amos Arieli 5.9k 2.1× 2.6k 1.7× 314 0.6× 344 0.8× 213 0.6× 52 6.5k
Romain Brette 2.7k 1.0× 1.7k 1.1× 635 1.3× 1.4k 3.4× 453 1.3× 99 3.6k
Gaute T. Einevoll 3.7k 1.3× 2.8k 1.8× 340 0.7× 614 1.5× 140 0.4× 125 4.5k

Countries citing papers authored by Sonja Grün

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Grün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Grün

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Grün. A scholar is included among the top collaborators of Sonja Grün 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 Sonja Grün. Sonja Grün 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.
Jana, Snehasis, et al.. (2025). Energy Constraints Determine the Selection of Reaching Movement Trajectories in Macaque Monkeys. eNeuro. 12(10). ENEURO.0385–24.2025.
2.
Ito, Junji, et al.. (2024). Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region. Cell Reports. 43(7). 114371–114371. 2 indexed citations
3.
Yamane, Y., Junji Ito, Cristian Joana, et al.. (2023). Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing. eNeuro. 10(10). ENEURO.0086–23.2023. 2 indexed citations
4.
Chen, Xing, Julia Sprenger, Shashwat Sridhar, et al.. (2022). 1024-channel electrophysiological recordings in macaque V1 and V4 during resting state. Scientific Data. 9(1). 77–77. 13 indexed citations
5.
Grün, Sonja, Jennifer Li, Bruce L. McNaughton, et al.. (2022). Emerging principles of spacetime in brains: Meeting report on spatial neurodynamics. Neuron. 110(12). 1894–1898. 3 indexed citations
6.
Voges, Nicole, Michael von Papen, Junji Ito, et al.. (2021). On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex. Cerebral Cortex Communications. 2(3). tgab033–tgab033. 11 indexed citations
7.
Dahmen, David, Nicole Voges, Michael von Papen, et al.. (2021). Global organization of neuronal activity only requires unstructured local connectivity. eLife. 11. 15 indexed citations
8.
Dahmen, David, Sonja Grün, Markus Diesmann, & Moritz Helias. (2019). Second type of criticality in the brain uncovers rich multiple-neuron dynamics. Proceedings of the National Academy of Sciences. 116(26). 13051–13060. 72 indexed citations
9.
Einevoll, Gaute T., Alain Destexhe, Sonja Grün, et al.. (2019). The Scientific Case for Brain Simulations. Neuron. 102(4). 735–744. 105 indexed citations
10.
Sprenger, Julia, Lyuba Zehl, Jan Grewe, et al.. (2019). odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Frontiers in Neuroinformatics. 13. 62–62. 11 indexed citations
11.
Torre, Emiliano, et al.. (2017). Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers in Computational Neuroscience. 11. 41–41. 25 indexed citations
12.
Denker, Michael, et al.. (2015). Elephant – Open-Source Tool for the Analysis of Electrophysiological Data Sets. JuSER (Forschungszentrum Jülich). 4 indexed citations
13.
Riehle, Alexa, et al.. (2013). Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Frontiers in Neural Circuits. 7. 48–48. 55 indexed citations
14.
Torre, Emiliano, et al.. (2013). Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Frontiers in Computational Neuroscience. 7. 132–132. 27 indexed citations
15.
Roy, Snigdha, Junji Ito, Ying Cao, Detlef Heck, & Sonja Grün. (2012). Delta/theta band LFP oscillations and gamma band power in mouse barrel cortex are coupled to respiratory rhythm. JuSER (Forschungszentrum Jülich). 1 indexed citations
16.
Shimazaki, Hideaki, Шун-ичи Амари, Emery N. Brown, & Sonja Grün. (2012). State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data. PLoS Computational Biology. 8(3). e1002385–e1002385. 73 indexed citations
17.
Denker, Michael, Sébastien Roux, Henrik Lindén, et al.. (2011). The Local Field Potential Reflects Surplus Spike Synchrony. Cerebral Cortex. 21(12). 2681–2695. 92 indexed citations
18.
Denker, Michael, Alexa Riehle, Markus Diesmann, & Sonja Grün. (2010). Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. Journal of Computational Neuroscience. 29(3). 599–613. 9 indexed citations
19.
Sharott, Andrew, Christian K.E. Moll, Gerhard Engler, et al.. (2009). Different Subtypes of Striatal Neurons Are Selectively Modulated by Cortical Oscillations. Journal of Neuroscience. 29(14). 4571–4585. 81 indexed citations
20.
Grün, Sonja, et al.. (1999). Detecting unitary events without discretization of time. Journal of Neuroscience Methods. 94(1). 67–79. 65 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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