Miriam Matamales

1.8k total citations
18 papers, 1.3k citations indexed

About

Miriam Matamales is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Miriam Matamales has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Miriam Matamales's work include Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (8 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Miriam Matamales is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (8 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Miriam Matamales collaborates with scholars based in Australia, France and United States. Miriam Matamales's co-authors include Jesus Bertran‐Gonzalez, Jean‐Antoine Girault, Emmanuel Valjent, Denis Hervé, Matthieu Maroteaux, Clémentine Bosch‐Bouju, Jürgen Götz, Lars M. Ittner, Bertrand Degos and Jean‐Michel Deniau and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Miriam Matamales

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miriam Matamales Australia 13 787 707 250 150 148 18 1.3k
C. Peter Bengtson Germany 22 992 1.3× 782 1.1× 225 0.9× 218 1.5× 161 1.1× 44 1.6k
Manja Schubert Germany 17 659 0.8× 487 0.7× 281 1.1× 121 0.8× 118 0.8× 23 1.2k
Jayms D. Peterson United States 8 836 1.1× 889 1.3× 296 1.2× 221 1.5× 73 0.5× 8 1.5k
Karen Brami‐Cherrier France 15 718 0.9× 871 1.2× 151 0.6× 121 0.8× 85 0.6× 20 1.4k
Vladimir V. Rymar Canada 20 807 1.0× 579 0.8× 251 1.0× 219 1.5× 117 0.8× 24 1.5k
Adam Granger United States 17 924 1.2× 702 1.0× 400 1.6× 109 0.7× 94 0.6× 20 1.4k
Joerg Neddens Germany 19 742 0.9× 603 0.9× 273 1.1× 156 1.0× 327 2.2× 46 1.4k
Tanya R. Stevens United States 9 577 0.7× 845 1.2× 276 1.1× 53 0.4× 129 0.9× 9 1.4k
Alison M. Beckmann Australia 9 718 0.9× 551 0.8× 151 0.6× 84 0.6× 132 0.9× 10 1.1k
Shira Knafo Spain 21 646 0.8× 544 0.8× 240 1.0× 56 0.4× 341 2.3× 35 1.3k

Countries citing papers authored by Miriam Matamales

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Matamales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Matamales

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

All Works

18 of 18 papers shown
1.
2.
Bertran‐Gonzalez, Jesus, et al.. (2023). Restoring the youthful state of striatal plasticity in aged mice re-enables cognitive control of action. Current Biology. 33(10). 1997–2007.e5. 1 indexed citations
3.
Ztaou, Samira, et al.. (2021). Single Dose of Amphetamine Induces Delayed Subregional Attenuation of Cholinergic Interneuron Activity in the Striatum. eNeuro. 8(5). ENEURO.0196–21.2021. 11 indexed citations
4.
Balleine, Bernard W., et al.. (2021). The dorsomedial striatum: an optimal cellular environment for encoding and updating goal-directed learning. Current Opinion in Behavioral Sciences. 41. 38–44. 12 indexed citations
5.
Matamales, Miriam, Alice E. McGovern, Jia Mi, et al.. (2020). Local D2- to D1-neuron transmodulation updates goal-directed learning in the striatum. Science. 367(6477). 549–555. 51 indexed citations
6.
Matamales, Miriam, Matthew R. Bailey, Peter D. Balsam, et al.. (2017). A corticostriatal deficit promotes temporal distortion of automatic action in ageing. eLife. 6. 8 indexed citations
7.
Matamales, Miriam, et al.. (2016). Aging-Related Dysfunction of Striatal Cholinergic Interneurons Produces Conflict in Action Selection. Neuron. 90(2). 362–373. 61 indexed citations
8.
Matamales, Miriam, Jürgen Götz, & Jesus Bertran‐Gonzalez. (2016). Quantitative Imaging of Cholinergic Interneurons Reveals a Distinctive Spatial Organization and a Functional Gradient across the Mouse Striatum. PLoS ONE. 11(6). e0157682–e0157682. 32 indexed citations
9.
Nishi, Akinori, Miriam Matamales, Veronica Musante, et al.. (2016). Glutamate Counteracts Dopamine/PKA Signaling via Dephosphorylation of DARPP-32 Ser-97 and Alteration of Its Cytonuclear Distribution. Journal of Biological Chemistry. 292(4). 1462–1476. 21 indexed citations
10.
Götz, Jürgen, et al.. (2012). Alzheimer's disease models and functional genomics—How many needles are there in the haystack?. Frontiers in Physiology. 3. 320–320. 14 indexed citations
11.
Götz, Jürgen, Anne Eckert, Miriam Matamales, Lars M. Ittner, & Xin Liu. (2011). Modes of Aβ toxicity in Alzheimer’s disease. Cellular and Molecular Life Sciences. 68(20). 3359–3375. 69 indexed citations
12.
Matamales, Miriam & Jean‐Antoine Girault. (2011). Signaling from the Cytoplasm to the Nucleus in Striatal Medium-Sized Spiny Neurons. Frontiers in Neuroanatomy. 5. 37–37. 19 indexed citations
13.
Valjent, Emmanuel, Jesus Bertran‐Gonzalez, Heather Bowling, et al.. (2011). Haloperidol Regulates the State of Phosphorylation of Ribosomal Protein S6 via Activation of PKA and Phosphorylation of DARPP-32. Neuropsychopharmacology. 36(12). 2561–2570. 58 indexed citations
14.
Schönrock, Nicole, Miriam Matamales, Lars M. Ittner, & Jürgen Götz. (2011). MicroRNA networks surrounding APP and amyloid-β metabolism — Implications for Alzheimer's disease. Experimental Neurology. 235(2). 447–454. 87 indexed citations
15.
Matamales, Miriam, Jesus Bertran‐Gonzalez, Lucas Salomon, et al.. (2009). Striatal Medium-Sized Spiny Neurons: Identification by Nuclear Staining and Study of Neuronal Subpopulations in BAC Transgenic Mice. PLoS ONE. 4(3). e4770–e4770. 198 indexed citations
16.
Stipanovich, Alexandre, Emmanuel Valjent, Miriam Matamales, et al.. (2008). A phosphatase cascade by which rewarding stimuli control nucleosomal response. Nature. 453(7197). 879–884. 181 indexed citations
17.
Bertran‐Gonzalez, Jesus, Clémentine Bosch‐Bouju, Matthieu Maroteaux, et al.. (2008). Opposing Patterns of Signaling Activation in Dopamine D1and D2Receptor-Expressing Striatal Neurons in Response to Cocaine and Haloperidol. Journal of Neuroscience. 28(22). 5671–5685. 455 indexed citations
18.
Hervé, Denis, Miriam Matamales, Alexandre Stipanovich, Emmanuel Valjent, & Jean‐Antoine Girault. (2008). Un nouveau mécanisme par lequel la récompense et les drogues modifient la chromatine dans les neurones. médecine/sciences. 24(12). 1027–1029. 2 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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