Matthew C. Hearing

1.8k total citations
32 papers, 1.3k citations indexed

About

Matthew C. Hearing is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Matthew C. Hearing has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Matthew C. Hearing's work include Neuroscience and Neuropharmacology Research (25 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Receptor Mechanisms and Signaling (11 papers). Matthew C. Hearing is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Receptor Mechanisms and Signaling (11 papers). Matthew C. Hearing collaborates with scholars based in United States, Spain and United Kingdom. Matthew C. Hearing's co-authors include Kevin Wickman, Mark J. Thomas, Jacqueline F. McGinty, R.E. See, Ezequiel Marrón Fernández de Velasco, Aric Madayag, Anna E. Ingebretson, Rachel A. Fischer, John R. Mantsch and Rafael Luján and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Matthew C. Hearing

32 papers receiving 1.3k citations

Peers

Matthew C. Hearing
Diane Damez-Werno United States
Jessica A. Loweth United States
Kelly L. Conrad United States
Aude Muzerelle France
Julie Espallergues France
Florence Sotty Denmark
Florence Theberge United States
Jamie L. Uejima United States
Marek Schwendt United States
Kevin D. Lominac United States
Diane Damez-Werno United States
Matthew C. Hearing
Citations per year, relative to Matthew C. Hearing Matthew C. Hearing (= 1×) peers Diane Damez-Werno

Countries citing papers authored by Matthew C. Hearing

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Hearing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Hearing

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Hearing. A scholar is included among the top collaborators of Matthew C. Hearing 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 C. Hearing. Matthew C. Hearing 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.
Wheeler, Daniel S., et al.. (2025). Aversion-induced dopamine reductions predict drug-taking and escape behaviors. Neuropsychopharmacology. 50(9). 1376–1384. 1 indexed citations
2.
Navarro, Gemma, William Rea, César Quiroz, et al.. (2021). Complexes of Ghrelin GHS-R1a, GHS-R1b, and Dopamine D1Receptors Localized in the Ventral Tegmental Area as Main Mediators of the Dopaminergic Effects of Ghrelin. Journal of Neuroscience. 42(6). 940–953. 16 indexed citations
3.
Doncheck, Elizabeth M., et al.. (2021). Estradiol Regulation of the Prelimbic Cortex and the Reinstatement of Cocaine Seeking in Female Rats. Journal of Neuroscience. 41(24). 5303–5314. 14 indexed citations
4.
Hearing, Matthew C., et al.. (2021). Remifentanil self-administration in mice promotes sex-specific prefrontal cortex dysfunction underlying deficits in cognitive flexibility. Neuropsychopharmacology. 46(10). 1734–1745. 25 indexed citations
5.
6.
Hearing, Matthew C., et al.. (2021). The Role of Parvalbumin Interneuron GIRK Signaling in the Regulation of Affect and Cognition in Male and Female Mice. Frontiers in Behavioral Neuroscience. 15. 621751–621751. 8 indexed citations
7.
Madayag, Aric, et al.. (2019). Cell-type and region-specific nucleus accumbens AMPAR plasticity associated with morphine reward, reinstatement, and spontaneous withdrawal. Brain Structure and Function. 224(7). 2311–2324. 36 indexed citations
8.
Benneyworth, Michael A., Matthew C. Hearing, Jennifer Anders, et al.. (2019). Synaptic Depotentiation and mGluR5 Activity in the Nucleus Accumbens Drive Cocaine-Primed Reinstatement of Place Preference. Journal of Neuroscience. 39(24). 4785–4796. 24 indexed citations
9.
Hearing, Matthew C.. (2018). Prefrontal-accumbens opioid plasticity: Implications for relapse and dependence. Pharmacological Research. 139. 158–165. 32 indexed citations
10.
Ebner, Stephanie R., Erin B. Larson, Matthew C. Hearing, Anna E. Ingebretson, & Mark J. Thomas. (2018). Extinction and Reinstatement of Cocaine-seeking in Self-administering Mice is Associated with Bidirectional AMPAR-mediated Plasticity in the Nucleus Accumbens Shell. Neuroscience. 384. 340–349. 12 indexed citations
11.
Hearing, Matthew C., Nora M. McCall, Ezequiel Marrón Fernández de Velasco, et al.. (2015). GIRK Channels Modulate Opioid-Induced Motor Activity in a Cell Type- and Subunit-Dependent Manner. Journal of Neuroscience. 35(18). 7131–7142. 50 indexed citations
12.
Velasco, Ezequiel Marrón Fernández de, Matthew C. Hearing, Zhilian Xia, et al.. (2015). Sex differences in GABABR-GIRK signaling in layer 5/6 pyramidal neurons of the mouse prelimbic cortex. Neuropharmacology. 95. 353–360. 34 indexed citations
13.
Booker, Sam A., Anna Gross, Daniel Althof, et al.. (2013). Differential GABAB-Receptor-Mediated Effects in Perisomatic- and Dendrite-Targeting Parvalbumin Interneurons. Journal of Neuroscience. 33(18). 7961–7974. 46 indexed citations
14.
Nissen, Jakob D., M.L. Laursen, Lasse Skibsbye, et al.. (2013). G-protein-coupled inward rectifier potassium current contributes to ventricular repolarization. Cardiovascular Research. 101(1). 175–184. 30 indexed citations
15.
Hearing, Matthew C., et al.. (2012). Cocaine-induced adaptations in metabotropic inhibitory signaling in the mesocorticolimbic system. Reviews in the Neurosciences. 23(4). 325–51. 35 indexed citations
16.
17.
Hearing, Matthew C., Marek Schwendt, & Jacqueline F. McGinty. (2010). Suppression of activity-regulated cytoskeleton-associated gene expression in the dorsal striatum attenuates extinction of cocaine-seeking. The International Journal of Neuropsychopharmacology. 14(6). 784–795. 33 indexed citations
18.
Mulholland, Patrick J., Ezekiel P. Carpenter‐Hyland, Matthew C. Hearing, et al.. (2008). Glutamate Transporters Regulate Extrasynaptic NMDA Receptor Modulation of Kv2.1 Potassium Channels. Journal of Neuroscience. 28(35). 8801–8809. 60 indexed citations
19.
Schwendt, Marek, Matthew C. Hearing, Ronald E. See, & Jacqueline F. McGinty. (2007). Chronic cocaine reduces RGS4 mRNA in rat prefrontal cortex and dorsal striatum. Neuroreport. 18(12). 1261–1265. 22 indexed citations
20.
Madayag, Aric, Doug Lobner, John R. Mantsch, et al.. (2007). RepeatedN-Acetylcysteine Administration Alters Plasticity-Dependent Effects of Cocaine. Journal of Neuroscience. 27(51). 13968–13976. 184 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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