Matthew T. Rich

505 total citations
19 papers, 332 citations indexed

About

Matthew T. Rich is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Matthew T. Rich has authored 19 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Matthew T. Rich's work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). Matthew T. Rich is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). Matthew T. Rich collaborates with scholars based in United States and Netherlands. Matthew T. Rich's co-authors include Mary M. Torregrossa, Srdjan D. Antic, Shaina M. Short, Yanhua H. Huang, Glenn S. Belinsky, Carissa L. Sirois, Anna R. Moore, Erika Pedrosa, Yafang Zhang and R. Christopher Pierce and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Matthew T. Rich

17 papers receiving 330 citations

Peers

Matthew T. Rich

CMN

PHYSI

EDM

Jennifer A. Stark United Kingdom

David Ladrón de Guevara‐Miranda Spain

Brittany L. Aguilar United States

Pauravi J. Gandhi United States

Craig Blomeley United Kingdom

Consuelo Sancho Spain

Harold L. Haun United States

Bethany N. Sotak United States

Daniel C. Lowes United States

Salvatore Magara Sweden

Jennifer A. Stark United Kingdom

Matthew T. Rich

250 ×1.1

CMN

126 ×1.0

144 ×1.2

31 ×1.1

PHYSI

14 ×0.5

EDM

Citations per year, relative to Matthew T. Rich Matthew T. Rich (= 1×) peers Jennifer A. Stark

Countries citing papers authored by Matthew T. Rich

Since Specialization

Citations

This map shows the geographic impact of Matthew T. Rich'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. Rich 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. Rich more than expected).

Fields of papers citing papers by Matthew T. Rich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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19 of 19 papers shown

Merkel, R., Nicole S. Hernandez, Vanessa Weir, et al.. (2025). An endogenous GLP-1 circuit engages VTA GABA neurons to regulate mesolimbic dopamine neurons and attenuate cocaine seeking. Science Advances. 11(9). eadr5051–eadr5051. 10 indexed citations

Rich, Matthew T., Sarah E. Swinford-Jackson, & R. Christopher Pierce. (2023). Epigenetic inheritance of phenotypes associated with parental exposure to cocaine. Advances in pharmacology. 99. 169–216.

Swinford-Jackson, Sarah E., et al.. (2023). Low frequency deep brain stimulation of nucleus accumbens shell neuronal subpopulations attenuates cocaine seeking selectively in male rats. SHILAP Revista de lepidopterología. 9. 100133–100133. 1 indexed citations

Rich, Matthew T., et al.. (2023). Sex-dependent fear memory impairment in cocaine-sired rat offspring. Science Advances. 9(42). eadf6039–eadf6039. 2 indexed citations

Swinford-Jackson, Sarah E., et al.. (2022). High frequency DBS-like optogenetic stimulation of nucleus accumbens dopamine D2 receptor-containing neurons attenuates cocaine reinstatement in male rats. Neuropsychopharmacology. 48(3). 459–467. 10 indexed citations

Deutschmann, André U., et al.. (2022). Sex differences in the medial prefrontal cortical glutamate system. Biology of Sex Differences. 13(1). 66–66. 32 indexed citations

Rich, Matthew T., Yanhua H. Huang, & Mary M. Torregrossa. (2021). Using Optogenetics to Reverse Neuroplasticity and Inhibit Cocaine Seeking in Rats. Journal of Visualized Experiments.

Hernandez, Nicole S., Vanessa Weir, R. Merkel, et al.. (2020). GLP-1 receptor signaling in the laterodorsal tegmental nucleus attenuates cocaine seeking by activating GABAergic circuits that project to the VTA. Molecular Psychiatry. 26(8). 4394–4408. 40 indexed citations

Rich, Matthew T., Yanhua H. Huang, & Mary M. Torregrossa. (2019). Plasticity at Thalamo-amygdala Synapses Regulates Cocaine-Cue Memory Formation and Extinction. Cell Reports. 26(4). 1010–1020.e5. 33 indexed citations

10.

Rich, Matthew T., Yanhua H. Huang, & Mary M. Torregrossa. (2019). Calcineurin Promotes Neuroplastic Changes in the Amygdala Associated with Weakened Cocaine-Cue Memories. Journal of Neuroscience. 40(6). 1344–1354. 17 indexed citations

11.

Rich, Matthew T., Yanhua H. Huang, & Mary M. Torregrossa. (2018). Plasticity at Thalamo-Amygdala Synapses Regulates Cocaine-Cue Memory Formation and Extinction. SSRN Electronic Journal. 1 indexed citations

12.

Rich, Matthew T. & Mary M. Torregrossa. (2017). Molecular and synaptic mechanisms regulating drug-associated memories: Towards a bidirectional treatment strategy. Brain Research Bulletin. 141. 58–71. 18 indexed citations

13.

Rich, Matthew T., Thomas Abbott, Lisa Chung, et al.. (2016). Phosphoproteomic Analysis Reveals a Novel Mechanism of CaMKII Regulation Inversely Induced by Cocaine Memory Extinction versus Reconsolidation. Journal of Neuroscience. 36(29). 7613–7627. 40 indexed citations

14.

Rich, Matthew T., et al.. (2015). Contribution of extrasynapticN-methyl-d-aspartate and adenosine A1 receptors in the generation of dendritic glutamate-mediated plateau potentials. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1672). 20140193–20140193. 4 indexed citations

15.

Zhou, Wen‐Liang, et al.. (2014). Branch specific and spike-order specific action potential invasion in basal, oblique, and apical dendrites of cortical pyramidal neurons. Neurophotonics. 2(2). 21006–21006. 6 indexed citations

16.

Belinsky, Glenn S., Carissa L. Sirois, Matthew T. Rich, et al.. (2013). Dopamine Receptors in Human Embryonic Stem Cell Neurodifferentiation. Stem Cells and Development. 22(10). 1522–1540. 19 indexed citations

17.

Belinsky, Glenn S., Matthew T. Rich, Carissa L. Sirois, et al.. (2013). Patch-clamp recordings and calcium imaging followed by single-cell PCR reveal the developmental profile of 13 genes in iPSC-derived human neurons. Stem Cell Research. 12(1). 101–118. 42 indexed citations

18.

Short, Shaina M., et al.. (2012). Extrasynaptic Glutamate Receptor Activation as Cellular Bases for Dynamic Range Compression in Pyramidal Neurons. Frontiers in Physiology. 3. 334–334. 32 indexed citations

19.

Belinsky, Glenn S., Anna R. Moore, Shaina M. Short, Matthew T. Rich, & Srdjan D. Antic. (2011). Physiological Properties of Neurons Derived from Human Embryonic Stem Cells Using a Dibutyryl Cyclic AMP-Based Protocol. Stem Cells and Development. 20(10). 1733–1746. 25 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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