David Robbe

3.6k total citations
31 papers, 2.6k citations indexed

About

David Robbe is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, David Robbe has authored 31 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 8 papers in Pharmacology. Recurrent topics in David Robbe's work include Neuroscience and Neuropharmacology Research (22 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). David Robbe is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). David Robbe collaborates with scholars based in France, United States and Spain. David Robbe's co-authors include Olivier J. Manzoni, Joël Bockaert, György Buzsáki, Pavel E. Rueda‐Orozco, Gérard Alonso, Anne Rémaury, Manfred Köpf, Susana Mato, Bruce L. McNaughton and Sean M. Montgomery 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

David Robbe

27 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Robbe France 24 2.1k 1.3k 1.1k 450 90 31 2.6k
Jennifer Ronesi United States 13 1.9k 0.9× 829 0.6× 698 0.7× 928 2.1× 59 0.7× 13 2.5k
Zsófia Maglóczky Hungary 23 1.3k 0.6× 704 0.5× 501 0.5× 383 0.9× 84 0.9× 40 1.8k
Gábor Nyíri Hungary 22 1.7k 0.8× 944 0.7× 446 0.4× 647 1.4× 115 1.3× 37 2.2k
Ferenc Mátyás Hungary 16 1.4k 0.7× 1.3k 1.0× 351 0.3× 207 0.5× 93 1.0× 22 2.0k
Ede Rancz United Kingdom 13 1.5k 0.7× 1.1k 0.8× 447 0.4× 375 0.8× 88 1.0× 18 2.0k
Stephen M. Eggan United States 14 1.3k 0.6× 604 0.5× 545 0.5× 540 1.2× 77 0.9× 16 1.9k
C. O’Carroll United Kingdom 8 1.4k 0.7× 989 0.8× 383 0.4× 541 1.2× 68 0.8× 17 2.5k
Roger Cachope United States 16 1.2k 0.6× 485 0.4× 287 0.3× 741 1.6× 102 1.1× 28 1.8k
D.S. Olton United States 22 2.0k 1.0× 2.3k 1.8× 482 0.4× 702 1.6× 70 0.8× 36 3.3k
A.G. Sadile Italy 30 1.5k 0.7× 987 0.8× 294 0.3× 537 1.2× 203 2.3× 87 2.5k

Countries citing papers authored by David Robbe

Since Specialization
Citations

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

Fields of papers citing papers by David Robbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Robbe

This figure shows the co-authorship network connecting the top 25 collaborators of David Robbe. A scholar is included among the top collaborators of David Robbe 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 David Robbe. David Robbe 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.
2.
Robbe, David. (2023). Lost in time: Relocating the perception of duration outside the brain. Neuroscience & Biobehavioral Reviews. 153. 105312–105312. 17 indexed citations
3.
Hyafil, Alexandre, et al.. (2020). Response outcomes gate the impact of expectations on perceptual decisions. Nature Communications. 11(1). 1057–1057. 30 indexed citations
4.
Sarno, Stefania, et al.. (2020). The Dorsal Striatum Energizes Motor Routines. Current Biology. 30(22). 4362–4372.e6. 28 indexed citations
5.
Robbe, David. (2018). To move or to sense? Incorporating somatosensory representation into striatal functions. Current Opinion in Neurobiology. 52. 123–130. 36 indexed citations
6.
Khalki, Loubna, et al.. (2018). No Discrete Start/Stop Signals in the Dorsal Striatum of Mice Performing a Learned Action. Current Biology. 28(19). 3044–3055.e5. 41 indexed citations
7.
Rueda‐Orozco, Pavel E., et al.. (2017). Local or Not Local: Investigating the Nature of Striatal Theta Oscillations in Behaving Rats. eNeuro. 4(5). ENEURO.0128–17.2017. 43 indexed citations
8.
9.
Rueda‐Orozco, Pavel E. & David Robbe. (2015). The striatum multiplexes contextual and kinematic information to constrain motor habits execution. Nature Neuroscience. 18(3). 453–460. 123 indexed citations
10.
Ledberg, Anders & David Robbe. (2011). Locomotion-Related Oscillatory Body Movements at 6–12 Hz Modulate the Hippocampal Theta Rhythm. PLoS ONE. 6(11). e27575–e27575. 26 indexed citations
11.
Robbe, David & György Buzsáki. (2009). Alteration of Theta Timescale Dynamics of Hippocampal Place Cells by a Cannabinoid Is Associated with Memory Impairment. Journal of Neuroscience. 29(40). 12597–12605. 117 indexed citations
12.
Mato, Susana, Mathieu Lafourcade, David Robbe, Yamina Bakiri, & Olivier J. Manzoni. (2007). Role of the cyclic-AMP/PKA cascade and of P/Q-type Ca++ channels in endocannabinoid-mediated long-term depression in the nucleus accumbens. Neuropharmacology. 54(1). 87–94. 47 indexed citations
13.
Mato, Susana, David Robbe, Nagore Puente, Pedro Grandes, & Olivier J. Manzoni. (2005). Presynaptic Homeostatic Plasticity Rescues Long-Term Depression after Chronic Δ9-Tetrahydrocannabinol Exposure. Journal of Neuroscience. 25(50). 11619–11627. 78 indexed citations
14.
Mato, Susana, Vivien Chevaleyre, David Robbe, et al.. (2004). A single in-vivo exposure to Δ9THC blocks endocannabinoid-mediated synaptic plasticity. Nature Neuroscience. 7(6). 585–586. 179 indexed citations
15.
Robbe, David, Gérard Alonso, & Olivier J. Manzoni. (2003). Exogenous and Endogenous Cannabinoids Control Synaptic Transmission in Mice Nucleus Accumbens. Annals of the New York Academy of Sciences. 1003(1). 212–225. 62 indexed citations
16.
Ango, Fabrice, David Robbe, Jian Cheng Tu, et al.. (2002). Homer-Dependent Cell Surface Expression of Metabotropic Glutamate Receptor Type 5 in Neurons. Molecular and Cellular Neuroscience. 20(2). 323–329. 131 indexed citations
17.
Robbe, David, Joël Bockaert, & Olivier J. Manzoni. (2002). Metabotropic glutamate receptor 2/3‐dependent long‐term depression in the nucleus accumbens is blocked in morphine withdrawn mice. European Journal of Neuroscience. 16(11). 2231–2235. 62 indexed citations
18.
Robbe, David, Gérard Alonso, Séverine Chaumont‐Dubel, Joël Bockaert, & Olivier J. Manzoni. (2002). Role of P/Q-Ca2+ Channels in Metabotropic Glutamate Receptor 2/3-Dependent Presynaptic Long-Term Depression at Nucleus Accumbens Synapses. Journal of Neuroscience. 22(11). 4346–4356. 96 indexed citations
19.
Alonso, Gérard, et al.. (2001). Group 2 metabotropic glutamate receptors induced long term depression in mouse striatal slices. Neuroscience Letters. 316(3). 178–182. 38 indexed citations
20.
Ango, Fabrice, Cécile Joly, David Robbe, et al.. (1999). A simple method to transfer plasmid DNA into neuronal primary cultures: functional expression of the mGlu5 receptor in cerebellar granule cells. Neuropharmacology. 38(6). 793–803. 57 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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