Michael Graupner

1.3k total citations
19 papers, 791 citations indexed

About

Michael Graupner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Graupner has authored 19 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Graupner's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Advanced Memory and Neural Computing (7 papers). Michael Graupner is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Advanced Memory and Neural Computing (7 papers). Michael Graupner collaborates with scholars based in France, United States and Germany. Michael Graupner's co-authors include Nicolas Brunel, Alex D. Reyes, Boris Gutkin, Srdjan Ostojic, Pascal Wallisch, David Higgins, Reinoud Maex, Christiane Pagès, Fabio Marti and Bertrand Lambolez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael Graupner

19 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Graupner France 13 598 483 343 180 40 19 791
Katherine A. Buchanan United Kingdom 7 891 1.5× 837 1.7× 171 0.5× 253 1.4× 67 1.7× 8 1.1k
Marina Chistiakova Germany 19 846 1.4× 776 1.6× 229 0.7× 152 0.8× 67 1.7× 30 1.1k
Timothy A. Zolnik Germany 11 325 0.5× 348 0.7× 113 0.3× 144 0.8× 38 0.9× 12 641
Timothy J. Blanche United States 11 524 0.9× 471 1.0× 202 0.6× 68 0.4× 19 0.5× 14 686
Richárd Fiáth Hungary 17 752 1.3× 554 1.1× 315 0.9× 75 0.4× 53 1.3× 44 969
Srikanth Ramaswamy Switzerland 14 350 0.6× 423 0.9× 84 0.2× 146 0.8× 40 1.0× 25 636
Valentina Pasquale Italy 15 784 1.3× 854 1.8× 272 0.8× 134 0.7× 23 0.6× 29 1.2k
Alessandro Vato Italy 13 840 1.4× 698 1.4× 271 0.8× 85 0.5× 20 0.5× 29 1.0k
Caroline A. Runyan United States 8 684 1.1× 868 1.8× 66 0.2× 188 1.0× 36 0.9× 13 1.1k
Matthijs B Verhoog Netherlands 14 701 1.2× 669 1.4× 107 0.3× 312 1.7× 74 1.9× 20 1.1k

Countries citing papers authored by Michael Graupner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Graupner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Graupner

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

All Works

19 of 19 papers shown
1.
Chindemi, Giuseppe, Marwan Abdellah, Oren Amsalem, et al.. (2022). A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13(1). 3038–3038. 41 indexed citations
2.
Graupner, Michael, et al.. (2020). Beyond Freezing: Temporal Expectancy of an Aversive Event Engages the Amygdalo–Prefronto–Dorsostriatal Network. Cerebral Cortex. 30(10). 5257–5269. 7 indexed citations
3.
Graupner, Michael, et al.. (2020). Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity. PLoS Computational Biology. 16(9). e1008265–e1008265. 25 indexed citations
4.
Bao, Jin, Michael Graupner, Thibault Collin, et al.. (2020). Synergism of type 1 metabotropic and ionotropic glutamate receptors in cerebellar molecular layer interneurons in vivo. eLife. 9. 4 indexed citations
5.
Dallérac, Glenn, Michael Graupner, Raquel Chacon Ruiz Martinez, et al.. (2017). Updating temporal expectancy of an aversive event engages striatal plasticity under amygdala control. Nature Communications. 8(1). 13920–13920. 23 indexed citations
6.
Graupner, Michael, Pascal Wallisch, & Srdjan Ostojic. (2016). Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate. Journal of Neuroscience. 36(44). 11238–11258. 31 indexed citations
7.
Higgins, David, Michael Graupner, & Nicolas Brunel. (2014). Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity. PLoS Computational Biology. 10(10). e1003834–e1003834. 22 indexed citations
8.
Graupner, Michael, Reinoud Maex, & Boris Gutkin. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology. 9(8). e1003183–e1003183. 19 indexed citations
9.
Graupner, Michael & Alex D. Reyes. (2013). Synaptic Input Correlations Leading to Membrane Potential Decorrelation of Spontaneous Activity in Cortex. Journal of Neuroscience. 33(38). 15075–15085. 45 indexed citations
10.
Graupner, Michael & Srdjan Ostojic. (2013). Natural firing patterns reduce sensitivity of synaptic plasticity to spike-timing. BMC Neuroscience. 14(S1). 1 indexed citations
11.
Tolu, Stéfania, Fabio Marti, Vincent David, et al.. (2012). Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry. 18(3). 382–393. 104 indexed citations
12.
Graupner, Michael & Nicolas Brunel. (2012). Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location. Proceedings of the National Academy of Sciences. 109(10). 3991–3996. 249 indexed citations
13.
Graupner, Michael. (2010). Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models. Frontiers in Computational Neuroscience. 4. 75 indexed citations
14.
Graupner, Michael, et al.. (2009). Computational Approaches to the Neurobiology of Drug Addiction. Pharmacopsychiatry. 42(S 01). S144–S152. 12 indexed citations
15.
Graupner, Michael & Boris Gutkin. (2009). Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms. Acta Pharmacologica Sinica. 30(6). 681–693. 13 indexed citations
16.
Graupner, Michael & Boris Gutkin. (2008). Nicotine and the dopaminergic output of the ventral tegmental area. BMC Neuroscience. 9(S1). 1 indexed citations
17.
Graupner, Michael & Nicolas Brunel. (2007). STDP in a Bistable Synapse Model Based on CaMKII and Associated Signaling Pathways. PLoS Computational Biology. 3(11). e221–e221. 103 indexed citations
18.
Graupner, Michael, et al.. (2005). A Theory of Plasma Membrane Calcium Pump Stimulation and Activity. Journal of Biological Physics. 31(2). 183–206. 9 indexed citations
19.
Graupner, Michael & Nicolas Brunel. (2005). STDP in a bistable synapse model based on CaMKII and associated signaling pathways. PLoS Computational Biology. preprint(2007). e221–e221. 7 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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