Matthew T. Colonnese

2.2k total citations
32 papers, 1.4k citations indexed

About

Matthew T. Colonnese is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Matthew T. Colonnese has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 26 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Matthew T. Colonnese's work include Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (18 papers) and Photoreceptor and optogenetics research (17 papers). Matthew T. Colonnese is often cited by papers focused on Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (18 papers) and Photoreceptor and optogenetics research (17 papers). Matthew T. Colonnese collaborates with scholars based in United States, France and Russia. Matthew T. Colonnese's co-authors include Roustem Khazipov, Yasunobu Murata, Martha Constantine‐Paton, Marat Minlebaev, Marnie A. Phillips, Timur Tsintsadze, Anton Sirota, Mathieu Milh, Catherine Chiron and Anna Kamińska and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Matthew T. Colonnese

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew T. Colonnese United States 21 909 887 275 234 131 32 1.4k
Marat Minlebaev France 20 1.1k 1.2× 857 1.0× 324 1.2× 262 1.1× 202 1.5× 38 1.8k
Jenq‐Wei Yang Germany 18 635 0.7× 519 0.6× 208 0.8× 122 0.5× 141 1.1× 30 982
Caren Armstrong United States 13 1.1k 1.3× 642 0.7× 224 0.8× 65 0.3× 99 0.8× 25 1.4k
Ileana L. Hanganu Germany 13 868 1.0× 558 0.6× 286 1.0× 176 0.8× 227 1.7× 14 1.1k
Nafiseh Atapour Australia 14 755 0.8× 395 0.4× 506 1.8× 97 0.4× 54 0.4× 34 1.2k
Peter W. Land United States 22 1.3k 1.5× 1.0k 1.1× 502 1.8× 52 0.2× 181 1.4× 32 1.8k
Michaël Russier France 17 552 0.6× 309 0.3× 328 1.2× 195 0.8× 51 0.4× 26 1.1k
Leonid S. Krimer United States 20 1.3k 1.5× 1.2k 1.4× 433 1.6× 36 0.2× 109 0.8× 21 2.0k
Sébastien Parnaudeau France 14 751 0.8× 783 0.9× 330 1.2× 30 0.1× 53 0.4× 16 1.5k
Aaron G. Blankenship United States 8 682 0.8× 406 0.5× 358 1.3× 48 0.2× 154 1.2× 8 1.1k

Countries citing papers authored by Matthew T. Colonnese

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Colonnese'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 Matthew T. Colonnese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Colonnese more than expected).

Fields of papers citing papers by Matthew T. Colonnese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Colonnese. 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 Matthew T. Colonnese. The network helps show where Matthew T. Colonnese may publish in the future.

Co-authorship network of co-authors of Matthew T. Colonnese

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Colonnese. A scholar is included among the top collaborators of Matthew T. Colonnese 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 Matthew T. Colonnese. Matthew T. Colonnese 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.
Phillips, Marnie A., et al.. (2024). Experience dependence of alpha rhythms and neural dynamics in mouse visual cortex. Journal of Neuroscience. 44(38). e2011222024–e2011222024.
2.
3.
Pompeiano, María & Matthew T. Colonnese. (2023). CFOS AS A BIOMARKER OF ACTIVITY MATURATION IN THE HIPPOCAMPAL FORMATION. IBRO Neuroscience Reports. 15. S127–S128. 1 indexed citations
4.
Phillips, Marnie A., et al.. (2021). Input-Independent Homeostasis of Developing Thalamocortical Activity. eNeuro. 8(3). ENEURO.0184–21.2021. 9 indexed citations
5.
Colonnese, Matthew T., et al.. (2021). Polynomial, piecewise-Linear, Step (PLS): A Simple, Scalable, and Efficient Framework for Modeling Neurons. Frontiers in Neuroinformatics. 15. 642933–642933. 2 indexed citations
6.
Romagnoni, Alberto, Matthew T. Colonnese, Jonathan Touboul, & Boris Gutkin. (2020). Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics. Journal of Neurophysiology. 123(5). 1583–1599. 9 indexed citations
7.
Murata, Yasunobu & Matthew T. Colonnese. (2018). Thalamic inhibitory circuits and network activity development. Brain Research. 1706. 13–23. 28 indexed citations
8.
Murata, Yasunobu & Matthew T. Colonnese. (2018). Thalamus Controls Development and Expression of Arousal States in Visual Cortex. Journal of Neuroscience. 38(41). 8772–8786. 31 indexed citations
9.
Colonnese, Matthew T., et al.. (2017). Uncorrelated Neural Firing in Mouse Visual Cortex during Spontaneous Retinal Waves. Frontiers in Cellular Neuroscience. 11. 289–289. 14 indexed citations
10.
Murata, Yasunobu & Matthew T. Colonnese. (2016). An excitatory cortical feedback loop gates retinal wave transmission in rodent thalamus. eLife. 5. 47 indexed citations
11.
Colonnese, Matthew T., et al.. (2016). Development of Activity in the Mouse Visual Cortex. Journal of Neuroscience. 36(48). 12259–12275. 65 indexed citations
12.
Pelkey, Kenneth A., Michael T. Craig, Xiaoqing Yuan, et al.. (2016). Pentraxins Coordinate Excitatory Synapse Maturation and Circuit Integration of Parvalbumin Interneurons. Neuron. 90(3). 661–661. 14 indexed citations
13.
Berzhanskaya, Julia, et al.. (2016). Disrupted Cortical State Regulation in a Rat Model of Fragile X Syndrome. Cerebral Cortex. 27(2). bhv331–bhv331. 36 indexed citations
14.
Fiallos, Ana M., et al.. (2016). Reward magnitude tracking by neural populations in ventral striatum. NeuroImage. 146. 1003–1015. 9 indexed citations
15.
Chipaux, Mathilde, Matthew T. Colonnese, Audrey Mauguen, et al.. (2013). Auditory Stimuli Mimicking Ambient Sounds Drive Temporal “Delta-Brushes” in Premature Infants. PLoS ONE. 8(11). e79028–e79028. 54 indexed citations
16.
Phillips, Marnie A., et al.. (2011). A Synaptic Strategy for Consolidation of Convergent Visuotopic Maps. Neuron. 71(4). 710–724. 20 indexed citations
17.
Colonnese, Matthew T. & Roustem Khazipov. (2010). “Slow Activity Transients” in Infant Rat Visual Cortex:A Spreading Synchronous Oscillation Patterned by Retinal Waves. Journal of Neuroscience. 30(12). 4325–4337. 78 indexed citations
18.
Colonnese, Matthew T., Anna Kamińska, Marat Minlebaev, et al.. (2010). A Conserved Switch in Sensory Processing Prepares Developing Neocortex for Vision. Neuron. 67(3). 480–498. 202 indexed citations
19.
Colonnese, Matthew T. & Martha Constantine‐Paton. (2001). Chronic NMDA Receptor Blockade from Birth Increases the Sprouting Capacity of Ipsilateral Retinocollicular Axons without Disrupting Their Early Segregation. Journal of Neuroscience. 21(5). 1557–1568. 36 indexed citations
20.
Colonnese, Matthew T., et al.. (1996). Ontogeny of Action Syntax in Altricial and Precocial Rodents: Grooming Sequences of Rat and Guinea Pig Pups. Behaviour. 133(15-16). 1165–1195. 17 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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