Marcel Beining

637 total citations
9 papers, 335 citations indexed

About

Marcel Beining is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Marcel Beining has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 4 papers in Developmental Neuroscience. Recurrent topics in Marcel Beining's work include Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Marcel Beining is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Marcel Beining collaborates with scholars based in Germany, Netherlands and Argentina. Marcel Beining's co-authors include Kevin M. Boergens, Sahil Loomba, Manuel Berning, Alessandro Motta, Moritz Helmstaedter, Benedikt Staffler, Philipp Hennig, Hermann Cuntz, Stephan W. Schwarzacher and Peter Jedlička and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Marcel Beining

9 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Beining Germany 8 168 137 71 65 57 9 335
Katie Glattfelder United States 3 231 1.4× 250 1.8× 98 1.4× 71 1.1× 43 0.8× 3 438
Ronan Chéreau Switzerland 8 129 0.8× 89 0.6× 71 1.0× 131 2.0× 22 0.4× 12 309
Nuno Maçarico da Costa Switzerland 13 202 1.2× 256 1.9× 73 1.0× 42 0.6× 22 0.4× 19 427
Andrea Santuy Spain 8 175 1.0× 143 1.0× 68 1.0× 29 0.4× 14 0.2× 11 280
Alessandro Motta Germany 6 137 0.8× 155 1.1× 57 0.8× 83 1.3× 9 0.2× 6 338
Sahil Loomba Germany 3 117 0.7× 132 1.0× 52 0.7× 67 1.0× 9 0.2× 3 289
Arjun Bharioke Germany 6 143 0.9× 121 0.9× 54 0.8× 36 0.6× 38 0.7× 6 270
Colenso M. Speer United States 8 288 1.7× 145 1.1× 250 3.5× 94 1.4× 32 0.6× 15 534
Yuriy Mishchenko United States 5 285 1.7× 201 1.5× 90 1.3× 98 1.5× 9 0.2× 7 425
Theresa Wiesner Canada 7 123 0.7× 46 0.3× 87 1.2× 90 1.4× 53 0.9× 11 306

Countries citing papers authored by Marcel Beining

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Beining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Beining

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

All Works

9 of 9 papers shown
1.
Cuntz, Hermann, Alex D. Bird, Marcel Beining, et al.. (2021). A general principle of dendritic constancy: A neuron’s size- and shape-invariant excitability. Neuron. 109(22). 3647–3662.e7. 23 indexed citations
2.
Motta, Alessandro, Manuel Berning, Kevin M. Boergens, et al.. (2019). Dense connectomic reconstruction in layer 4 of the somatosensory cortex. Science. 366(6469). 177 indexed citations
3.
Jungenitz, Tassilo, Marcel Beining, Thomas Deller, et al.. (2018). Structural homo- and heterosynaptic plasticity in mature and adult newborn rat hippocampal granule cells. Proceedings of the National Academy of Sciences. 115(20). E4670–E4679. 34 indexed citations
4.
Jungenitz, Tassilo, Marcel Beining, Hermann Cuntz, et al.. (2017). Time-lapse imaging reveals highly dynamic structural maturation of postnatally born dentate granule cells in organotypic entorhino-hippocampal slice cultures. Scientific Reports. 7(1). 43724–43724. 13 indexed citations
5.
Beining, Marcel, Lucas A. Mongiat, Stephan W. Schwarzacher, Hermann Cuntz, & Peter Jedlička. (2017). T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife. 6. 29 indexed citations
6.
Beining, Marcel, Tassilo Jungenitz, Thomas Deller, et al.. (2016). Adult-born dentate granule cells show a critical period of dendritic reorganization and are distinct from developmentally born cells. Brain Structure and Function. 222(3). 1427–1446. 31 indexed citations
7.
8.
Braun, Klaus, Marcel Beining, Manfred Wießler, et al.. (2012). BioShuttle Mobility in Living Cells Studied with High-Resolution FCS & CLSM Methodologies. International Journal of Medical Sciences. 9(5). 339–352. 5 indexed citations
9.
Pipkorn, Rüdiger, Manfred Wießler, Waldemar Waldeck, et al.. (2012). Improved Synthesis Strategy for Peptide Nucleic Acids (PNA) appropriate for Cell-specific Fluorescence Imaging. International Journal of Medical Sciences. 9(1). 1–10. 14 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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