Matthew R. Bailey

946 total citations
22 papers, 696 citations indexed

About

Matthew R. Bailey is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Matthew R. Bailey has authored 22 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Matthew R. Bailey's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroendocrine regulation and behavior (3 papers). Matthew R. Bailey is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroendocrine regulation and behavior (3 papers). Matthew R. Bailey collaborates with scholars based in United States and Australia. Matthew R. Bailey's co-authors include Rae Silver, Peter D. Balsam, Eleanor H. Simpson, Christoph Kellendonk, Christopher Mezias, Vanessa Winiger, B. Taylor Bennett, E. Hölzner, József Mészáros and Fernanda Carvalho Poyraz and has published in prestigious journals such as Journal of Neuroscience, Journal of Pharmacology and Experimental Therapeutics and Neuropsychopharmacology.

In The Last Decade

Matthew R. Bailey

20 papers receiving 678 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 R. Bailey United States 11 291 223 212 147 102 22 696
Danielle Gulick United States 20 281 1.0× 229 1.0× 166 0.8× 269 1.8× 60 0.6× 38 804
Rosa Anna Maria Marino United States 14 390 1.3× 262 1.2× 83 0.4× 179 1.2× 116 1.1× 19 823
Sarah L. Ferri United States 13 227 0.8× 410 1.8× 105 0.5× 145 1.0× 108 1.1× 19 755
M. Flavia Barbano United States 13 455 1.6× 262 1.2× 222 1.0× 211 1.4× 136 1.3× 18 780
Patrick N. Pallier United Kingdom 11 263 0.9× 124 0.6× 112 0.5× 174 1.2× 72 0.7× 16 593
Arianna Novati Germany 13 278 1.0× 396 1.8× 199 0.9× 157 1.1× 120 1.2× 21 922
Viktor Román Hungary 16 180 0.6× 354 1.6× 200 0.9× 122 0.8× 50 0.5× 39 830
Alexander W. Johnson United States 19 463 1.6× 428 1.9× 299 1.4× 216 1.5× 140 1.4× 47 1.1k
Daniel Clesse France 12 282 1.0× 159 0.7× 312 1.5× 169 1.1× 100 1.0× 14 629
Gilberto Fernando Xavier Brazil 19 344 1.2× 382 1.7× 229 1.1× 139 0.9× 99 1.0× 73 1.1k

Countries citing papers authored by Matthew R. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Bailey. A scholar is included among the top collaborators of Matthew R. Bailey 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 R. Bailey. Matthew R. Bailey 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.
Bailey, Matthew R., et al.. (2020). Dissociating the effects of dopamine D2 receptors on effort-based versus value-based decision making using a novel behavioral approach.. Behavioral Neuroscience. 134(2). 101–118. 18 indexed citations
2.
Light, Kenneth, et al.. (2019). Evidence for a Mixed Timing and Counting Strategy in Mice Performing a Mechner Counting Task. Frontiers in Behavioral Neuroscience. 13. 109–109. 9 indexed citations
3.
Bailey, Matthew R., Olivia V. Goldman, Muhammad O. Chohan, et al.. (2018). An Interaction between Serotonin Receptor Signaling and Dopamine Enhances Goal-Directed Vigor and Persistence in Mice. Journal of Neuroscience. 38(9). 2149–2162. 29 indexed citations
4.
Bailey, Matthew R., et al.. (2018). Striatal dopamine D2 receptors regulate effort but not value-based decision making and alter the dopaminergic encoding of cost. Neuropsychopharmacology. 43(11). 2180–2189. 28 indexed citations
5.
Bennett, B. Taylor & Matthew R. Bailey. (2018). Addressing administrative burden: a primer for submitting comments to the USDA and OLAW. Lab Animal. 47(6). 135–135. 1 indexed citations
6.
Bailey, Matthew R.. (2018). Love Animals? Support Animal Research. Lab Animal. 47(2). 37–38. 1 indexed citations
7.
Bennett, B. Taylor & Matthew R. Bailey. (2017). USDA inspection data: what a difference a decade makes. Lab Animal. 46(7). 283–284.
8.
Leroy, Félix, Kelly Martyniuk, Wendy Feng, et al.. (2017). Dopamine D2 Receptors in the Paraventricular Thalamus Attenuate Cocaine Locomotor Sensitization. eNeuro. 4(5). ENEURO.0227–17.2017. 34 indexed citations
9.
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
10.
Poyraz, Fernanda Carvalho, E. Hölzner, Matthew R. Bailey, et al.. (2016). Decreasing Striatopallidal Pathway Function Enhances Motivation by Energizing the Initiation of Goal-Directed Action. Journal of Neuroscience. 36(22). 5988–6001. 83 indexed citations
11.
Bennett, B. Taylor, et al.. (2016). Use of FOIA by animal rights activists. Lab Animal. 45(2). 55–55. 1 indexed citations
12.
Bailey, Matthew R., Eleanor H. Simpson, & Peter D. Balsam. (2016). Neural substrates underlying effort, time, and risk-based decision making in motivated behavior. Neurobiology of Learning and Memory. 133. 233–256. 86 indexed citations
13.
Bailey, Matthew R., Cait M. Williamson, Christopher Mezias, et al.. (2015). The effects of pharmacological modulation of the serotonin 2C receptor on goal-directed behavior in mice. Psychopharmacology. 233(4). 615–624. 30 indexed citations
14.
Bennett, B. Taylor, et al.. (2015). Revisions to the Animal Welfare Inspection Guide. Lab Animal. 44(6). 201–201. 1 indexed citations
15.
Bailey, Matthew R., Greg Jensen, Kathleen Taylor, et al.. (2015). A novel strategy for dissecting goal-directed action and arousal components of motivated behavior with a progressive hold-down task.. Behavioral Neuroscience. 129(3). 269–280. 43 indexed citations
16.
Bennett, B. Taylor, et al.. (2015). USDA Inspector General's report on oversight of research facilities. Lab Animal. 44(4). 127–128. 1 indexed citations
17.
Bailey, Matthew R., et al.. (2014). Updates on the legal front. Lab Animal. 43(4). 119–119. 1 indexed citations
18.
Bailey, Matthew R. & Rae Silver. (2013). Sex differences in circadian timing systems: Implications for disease. Frontiers in Neuroendocrinology. 35(1). 111–139. 263 indexed citations
19.
Bailey, Matthew R., et al.. (2012). The Animal Welfare Act: from enactment to enforcement.. PubMed. 51(3). 301–5. 27 indexed citations
20.
Nicol, Christine J, et al.. (2006). A multidisciplinary study of the long-term effects of environmental enrichment on laboratory rat welfare. Bristol Research (University of Bristol). 72–72. 5 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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