Stephen D. Mague

2.5k total citations
19 papers, 1.7k citations indexed

About

Stephen D. Mague is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Stephen D. Mague has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Stephen D. Mague's work include Neuropeptides and Animal Physiology (6 papers), Neural dynamics and brain function (5 papers) and Functional Brain Connectivity Studies (5 papers). Stephen D. Mague is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Neural dynamics and brain function (5 papers) and Functional Brain Connectivity Studies (5 papers). Stephen D. Mague collaborates with scholars based in United States and China. Stephen D. Mague's co-authors include William A. Carlezon, Julie A. Blendy, Susan L. Andersen, Hilarie C. Tomasiewicz, William C. Stevens, Yan Zhang, Philip S. Portoghese, Robert M. Jones, Mark S. Todtenkopf and Lee‐Yuan Liu‐Chen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Stephen D. Mague

19 papers receiving 1.6k citations

Peers

Stephen D. Mague

CMN

PMH

Aleš Stuchlı́k Czechia

Simona Scheggi Italy

David Nutt United Kingdom

Piotr Maciejak Poland

Janusz Szyndler Poland

Karel Valeš Czechia

Andrew C. H. Chen United States

Lynne E. Rueter United States

Verónica Bisagno Argentina

Aleš Stuchlı́k Czechia

Stephen D. Mague

1.0k ×1.1

CMN

457 ×0.8

765 ×2.0

212 ×0.8

129 ×0.5

PMH

Citations per year, relative to Stephen D. Mague Stephen D. Mague (= 1×) peers Aleš Stuchlı́k

Countries citing papers authored by Stephen D. Mague

Since Specialization

Citations

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

Fields of papers citing papers by Stephen D. Mague

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Mague. 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 Stephen D. Mague. The network helps show where Stephen D. Mague may publish in the future.

Co-authorship network of co-authors of Stephen D. Mague

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Mague. A scholar is included among the top collaborators of Stephen D. Mague 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 Stephen D. Mague. Stephen D. Mague 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

Gallagher, Neil M., et al.. (2024). Electome network factors: Capturing emotional brain networks related to health and disease. Cell Reports Methods. 4(1). 100691–100691. 1 indexed citations

Block, Carina L., Stephen D. Mague, Caroline J. Smith, et al.. (2022). Prenatal environmental stressors impair postnatal microglia function and adult behavior in males. Cell Reports. 40(5). 111161–111161. 55 indexed citations

Mague, Stephen D., Cameron Blount, Lara J. Duffney, et al.. (2022). Brain-wide electrical dynamics encode individual appetitive social behavior. Neuron. 110(10). 1728–1741.e7. 24 indexed citations

Hultman, Rainbo, Benjamin D. Sachs, Cameron Blount, et al.. (2018). Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability. Cell. 173(1). 166–180.e14. 128 indexed citations

Carlson, David, Neil M. Gallagher, Mai-Anh Vu, et al.. (2017). Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway. Biological Psychiatry. 82(12). 904–913. 29 indexed citations

Hultman, Rainbo, Stephen D. Mague, Qiang Li, et al.. (2016). Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology. Neuron. 91(2). 439–452. 98 indexed citations

Sawyer, Allison M., et al.. (2016). Nucleus Accumbens AMPA Receptors Are Necessary for Morphine-Withdrawal-Induced Negative-Affective States in Rats. Journal of Neuroscience. 36(21). 5748–5762. 56 indexed citations

Mague, Stephen D., et al.. (2015). Mouse model of OPRM1 (A118G) polymorphism has altered hippocampal function. Neuropharmacology. 97. 426–435. 5 indexed citations

Huang, Peng, Chongguang Chen, Stephen D. Mague, Julie A. Blendy, & Lee‐Yuan Liu‐Chen. (2011). A common single nucleotide polymorphism A118G of the μ opioid receptor alters its N-glycosylation and protein stability. Biochemical Journal. 441(1). 379–386. 99 indexed citations

10.

Mague, Stephen D. & Julie A. Blendy. (2010). OPRM1 SNP (A118G): Involvement in disease development, treatment response, and animal models. Drug and Alcohol Dependence. 108(3). 172–182. 110 indexed citations

11.

Mague, Stephen D., Carolina Isiegas, Peng Huang, et al.. (2009). Mouse model of OPRM1 (A118G) polymorphism has sex-specific effects on drug-mediated behavior. Proceedings of the National Academy of Sciences. 106(26). 10847–10852. 138 indexed citations

12.

Isiegas, Carolina, Stephen D. Mague, & Julie A. Blendy. (2009). Sex differences in response to nicotine in C57Bl/6:129SvEv mice. Nicotine & Tobacco Research. 11(7). 851–858. 36 indexed citations

13.

Carr, Gregory V. & Stephen D. Mague. (2008). p38: The Link between the κ-Opioid Receptor and Dysphoria. Journal of Neuroscience. 28(10). 2299–2300. 5 indexed citations

14.

Tomasiewicz, Hilarie C., Stephen D. Mague, Bruce M. Cohen, & William A. Carlezon. (2006). Behavioral effects of short-term administration of lithium and valproic acid in rats. Brain Research. 1093(1). 83–94. 31 indexed citations

15.

Carlezon, William A., Michael Rohan, Stephen D. Mague, et al.. (2005). Antidepressant-like effects of cranial stimulation within a low-energy magnetic field in rats. Biological Psychiatry. 57(6). 571–576. 34 indexed citations

16.

Mague, Stephen D., Susan L. Andersen, & William A. Carlezon. (2005). Early developmental exposure to methylphenidate reduces cocaine-induced potentiation of brain stimulation reward in rats. Biological Psychiatry. 57(2). 120–125. 73 indexed citations

17.

Carlezon, William A., Stephen D. Mague, Aimee Parow, et al.. (2005). Antidepressant-like effects of uridine and omega-3 fatty acids are potentiated by combined treatment in rats. Biological Psychiatry. 57(4). 343–350. 131 indexed citations

18.

Mague, Stephen D., Mark S. Todtenkopf, Hilarie C. Tomasiewicz, et al.. (2003). Antidepressant-Like Effects of κ-Opioid Receptor Antagonists in the Forced Swim Test in Rats. Journal of Pharmacology and Experimental Therapeutics. 305(1). 323–330. 399 indexed citations

19.

Carlezon, William A., Stephen D. Mague, & Susan L. Andersen. (2003). Enduring behavioral effects of early exposure to methylphenidate in rats. Biological Psychiatry. 54(12). 1330–1337. 205 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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