Sven Berberich

800 total citations
8 papers, 648 citations indexed

About

Sven Berberich is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Sven Berberich has authored 8 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Sven Berberich's work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Sven Berberich is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (2 papers). Sven Berberich collaborates with scholars based in Germany, Netherlands and United States. Sven Berberich's co-authors include Georg Köhr, Peter H. Seeburg, Øivind Hvalby, Vidar R. Jensen, Pradeep Punnakkal, Verena Pawlak, Alexander Kolleker, Hans‐Christian Kornau, Thomas T. G. Hahn and Mayank Mehta and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Sven Berberich

7 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sven Berberich Germany	6	479	328	276	103	64	8	648
Kaori Akashi Japan	6	445 0.9×	228 0.7×	260 0.9×	63 0.6×	44 0.7×	7	606
Sun-Lim Choi South Korea	8	393 0.8×	271 0.8×	244 0.9×	85 0.8×	57 0.9×	9	577
Rosalina Fonseca Portugal	10	571 1.2×	356 1.1×	340 1.2×	102 1.0×	109 1.7×	17	819
Rajeevkumar Raveendran Nair Norway	10	339 0.7×	173 0.5×	237 0.9×	83 0.8×	39 0.6×	18	580
Tim Kroon Netherlands	11	349 0.7×	191 0.6×	229 0.8×	55 0.5×	65 1.0×	16	533
Lianne Stanford Canada	11	265 0.6×	171 0.5×	192 0.7×	80 0.8×	61 1.0×	16	526
Vivek Mahadevan Canada	19	779 1.6×	389 1.2×	491 1.8×	69 0.7×	47 0.7×	24	1.0k
Jessica Hauser Chatterjee United States	5	409 0.9×	128 0.4×	395 1.4×	122 1.2×	77 1.2×	8	695
Emin D. Ozkan United States	10	426 0.9×	299 0.9×	443 1.6×	311 3.0×	118 1.8×	10	860
Carl Holmgren Sweden	14	529 1.1×	406 1.2×	318 1.2×	167 1.6×	44 0.7×	15	865

Countries citing papers authored by Sven Berberich

Since Specialization

Citations

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

Fields of papers citing papers by Sven Berberich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Berberich

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

All Works

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8 of 8 papers shown

Heslinga, Friso G., et al.. (2024). Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images. IET Radar Sonar & Navigation. 18(4). 649–656. 3 indexed citations

Choudhary, Krishna, Sven Berberich, Thomas T. G. Hahn, James M. McFarland, & Mayank Mehta. (2024). Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity. Nature Communications. 15(1). 3542–3542.

Berberich, Sven, et al.. (2017). Interplay between global and pathway-specific synaptic plasticity in CA1 pyramidal cells. Scientific Reports. 7(1). 17040–17040. 5 indexed citations

Hahn, Thomas T. G., James M. McFarland, Sven Berberich, Bert Sakmann, & Mayank Mehta. (2012). Spontaneous persistent activity in entorhinal cortex modulates cortico-hippocampal interaction in vivo. Nature Neuroscience. 15(11). 1531–1538. 96 indexed citations

Berberich, Sven, et al.. (2010). AMPA Receptor Signaling through BRAG2 and Arf6 Critical for Long-Term Synaptic Depression. Neuron. 66(5). 768–780. 119 indexed citations

Kolleker, Alexander, Sven Berberich, Melanie Ginger, et al.. (2008). Synaptic ionotropic glutamate receptors and plasticity are developmentally altered in the CA1 field of Fmr1 knockout mice. The Journal of Physiology. 587(4). 787–804. 86 indexed citations

Berberich, Sven, Vidar R. Jensen, Øivind Hvalby, Peter H. Seeburg, & Georg Köhr. (2006). The role of NMDAR subtypes and charge transfer during hippocampal LTP induction. Neuropharmacology. 52(1). 77–86. 87 indexed citations

Berberich, Sven, Pradeep Punnakkal, Vidar R. Jensen, et al.. (2005). Lack of NMDA Receptor Subtype Selectivity for Hippocampal Long-Term Potentiation. Journal of Neuroscience. 25(29). 6907–6910. 252 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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