Céline Matéo

2.6k total citations
16 papers, 1.5k citations indexed

About

Céline Matéo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Céline Matéo has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Céline Matéo's work include Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Céline Matéo is often cited by papers focused on Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Céline Matéo collaborates with scholars based in United States, Switzerland and Germany. Céline Matéo's co-authors include Carl C.H. Petersen, David Kleinfeld, Philbert S. Tsai, Ferenc Mátyás, Rachel Aronoff, Andy Y. Shih, Per Magne Knutsen, Patrick J. Drew, Michael Avermann and Carine Ciron and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Neuron.

In The Last Decade

Céline Matéo

16 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Matéo United States 15 971 770 216 189 164 16 1.5k
Jérôme Lecoq United States 17 664 0.7× 681 0.9× 150 0.7× 137 0.7× 265 1.6× 26 1.5k
Johannes C. Baayen Netherlands 27 1.4k 1.4× 628 0.8× 332 1.5× 116 0.6× 78 0.5× 39 2.3k
Nicole A. Young United States 20 597 0.6× 500 0.6× 139 0.6× 219 1.2× 65 0.4× 37 1.2k
Suhasa B. Kodandaramaiah United States 18 752 0.8× 1.1k 1.4× 94 0.4× 283 1.5× 339 2.1× 48 1.7k
Galit Pelled United States 21 348 0.4× 473 0.6× 273 1.3× 256 1.4× 97 0.6× 53 1.2k
Francisco Clascá Spain 24 897 0.9× 1.0k 1.3× 107 0.5× 157 0.8× 51 0.3× 54 1.7k
Ho-Jun Suk United States 6 566 0.6× 636 0.8× 80 0.4× 389 2.1× 254 1.5× 7 1.3k
Kelly A. Tennant United States 12 776 0.8× 892 1.2× 98 0.5× 581 3.1× 120 0.7× 16 1.8k
Michael N. Economo United States 18 727 0.7× 750 1.0× 67 0.3× 252 1.3× 155 0.9× 28 1.6k
Chris Kao United States 20 496 0.5× 1.3k 1.7× 290 1.3× 178 0.9× 232 1.4× 43 1.9k

Countries citing papers authored by Céline Matéo

Since Specialization
Citations

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

Fields of papers citing papers by Céline Matéo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Matéo

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

All Works

16 of 16 papers shown
1.
Xiong, Hejian, Emre Lacin, Hui Ouyang, et al.. (2022). Probing Neuropeptide Volume Transmission In Vivo by Simultaneous Near‐Infrared Light‐Triggered Release and Optical Sensing**. Angewandte Chemie. 134(34). 3 indexed citations
2.
Xiong, Hejian, Emre Lacin, Hui Ouyang, et al.. (2022). Probing Neuropeptide Volume Transmission In Vivo by Simultaneous Near‐Infrared Light‐Triggered Release and Optical Sensing**. Angewandte Chemie International Edition. 61(34). e202206122–e202206122. 21 indexed citations
3.
Li, Xiaoqing, Vamsidhara Vemireddy, Qi Cai, et al.. (2021). Reversibly Modulating the Blood–Brain Barrier by Laser Stimulation of Molecular-Targeted Nanoparticles. Nano Letters. 21(22). 9805–9815. 81 indexed citations
4.
Pais‐Roldán, Patricia, Céline Matéo, Wen‐Ju Pan, et al.. (2021). Contribution of animal models toward understanding resting state functional connectivity. NeuroImage. 245. 118630–118630. 20 indexed citations
5.
Drew, Patrick J., Céline Matéo, Kevin L. Turner, Xin Yu, & David Kleinfeld. (2020). Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds. Neuron. 107(5). 782–804. 93 indexed citations
6.
Matéo, Céline, Per Magne Knutsen, Philbert S. Tsai, Andy Y. Shih, & David Kleinfeld. (2017). Entrainment of Arteriole Vasomotor Fluctuations by Neural Activity Is a Basis of Blood-Oxygenation-Level-Dependent “Resting-State” Connectivity. Neuron. 96(4). 936–948.e3. 198 indexed citations
7.
Knutsen, Per Magne, Céline Matéo, & David Kleinfeld. (2016). Precision mapping of the vibrissa representation within murine primary somatosensory cortex. Philosophical Transactions of the Royal Society B Biological Sciences. 371(1705). 20150351–20150351. 24 indexed citations
8.
Sreenivasan, Varun, Alexandros Kyriakatos, Céline Matéo, Dieter Jaeger, & Carl C.H. Petersen. (2016). Parallel pathways from whisker and visual sensory cortices to distinct frontal regions of mouse neocortex. Neurophotonics. 4(3). 1–1. 23 indexed citations
9.
Shih, Andy Y., Charlotta Rühlmann, Pablo Blinder, et al.. (2015). Robust and Fragile Aspects of Cortical Blood Flow in Relation to the Underlying Angioarchitecture. Microcirculation. 22(3). 204–218. 67 indexed citations
10.
Tsai, Philbert S., Céline Matéo, Jeffrey J. Field, et al.. (2015). Ultra-large field-of-view two-photon microscopy. Optics Express. 23(11). 13833–13833. 87 indexed citations
11.
Shih, Andy Y., Céline Matéo, Patrick J. Drew, Philbert S. Tsai, & David Kleinfeld. (2012). A Polished and Reinforced Thinned-skull Window for Long-term Imaging of the Mouse Brain. Journal of Visualized Experiments. 95 indexed citations
12.
Avermann, Michael, Christian Tomm, Céline Matéo, Wulfram Gerstner, & Carl C.H. Petersen. (2012). Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex. Journal of Neurophysiology. 107(11). 3116–3134. 164 indexed citations
13.
Shih, Andy Y., Céline Matéo, Patrick J. Drew, Philbert S. Tsai, & David Kleinfeld. (2012). A Polished and Reinforced Thinned-skull Window for Long-term Imaging of the Mouse Brain. Journal of Visualized Experiments. 25 indexed citations
14.
Matéo, Céline, Michael Avermann, Luc J. Gentet, et al.. (2011). In Vivo Optogenetic Stimulation of Neocortical Excitatory Neurons Drives Brain-State-Dependent Inhibition. Current Biology. 21(19). 1593–1602. 82 indexed citations
15.
Mátyás, Ferenc, Varun Sreenivasan, Fred Marbach, et al.. (2010). Motor Control by Sensory Cortex. Science. 330(6008). 1240–1243. 281 indexed citations
16.
Aronoff, Rachel, Ferenc Mátyás, Céline Matéo, et al.. (2010). Long‐range connectivity of mouse primary somatosensory barrel cortex. European Journal of Neuroscience. 31(12). 2221–2233. 241 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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