Marios C. Panayi

477 total citations
19 papers, 280 citations indexed

About

Marios C. Panayi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Marios C. Panayi has authored 19 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 4 papers in Behavioral Neuroscience. Recurrent topics in Marios C. Panayi's work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Marios C. Panayi is often cited by papers focused on Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Marios C. Panayi collaborates with scholars based in United States, Australia and United Kingdom. Marios C. Panayi's co-authors include Simon Killcross, Mark E. Walton, R. Frederick Westbrook, Nathan M. Holmes, Nura W. Lingawi, David M. Bannerman, Justin A. Harris, Genevra Hart, Tomoko Yamagata and Sarah E. Newey and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Current Biology.

In The Last Decade

Marios C. Panayi

16 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marios C. Panayi United States 8 173 139 75 60 44 19 280
Nura W. Lingawi Australia 9 233 1.3× 193 1.4× 124 1.7× 82 1.4× 54 1.2× 15 392
Carley A. Karsten United States 8 127 0.7× 124 0.9× 105 1.4× 58 1.0× 38 0.9× 9 392
Tatiana A. Shnitko United States 13 122 0.7× 173 1.2× 121 1.6× 38 0.6× 62 1.4× 26 398
Anne F. Pierce United States 5 118 0.7× 131 0.9× 172 2.3× 77 1.3× 47 1.1× 6 308
Anna Lei Italy 2 212 1.2× 151 1.1× 91 1.2× 100 1.7× 40 0.9× 2 363
Nur Zeynep Güngör United States 7 158 0.9× 138 1.0× 137 1.8× 103 1.7× 31 0.7× 7 305
Constanze Lenschow Germany 9 120 0.7× 101 0.7× 122 1.6× 39 0.7× 26 0.6× 15 260
Cooper D. Grossman United States 6 190 1.1× 133 1.0× 59 0.8× 22 0.4× 23 0.5× 8 294
Olivia W. Miles United States 7 144 0.8× 148 1.1× 111 1.5× 111 1.9× 19 0.4× 7 291
Evelien H.S. Schut Netherlands 6 177 1.0× 165 1.2× 74 1.0× 64 1.1× 17 0.4× 7 313

Countries citing papers authored by Marios C. Panayi

Since Specialization
Citations

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

Fields of papers citing papers by Marios C. Panayi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marios C. Panayi

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

All Works

19 of 19 papers shown
1.
Panayi, Marios C., et al.. (2025). More and Less Fear in Serotonin Transporter Knockout Mice. Genes Brain & Behavior. 24(1). e70016–e70016.
2.
Burgeno, Lauren M., Marios C. Panayi, Jennifer S. Steger, et al.. (2025). Cocaine seeking and consumption are oppositely regulated by mesolimbic dopamine in male rats. Nature Communications. 16(1). 9954–9954.
3.
Panayi, Marios C., et al.. (2024). The selective D3Receptor antagonist VK4-116 reverses loss of insight caused by self-administration of cocaine in rats. Neuropsychopharmacology. 49(10). 1590–1599. 1 indexed citations
4.
Panayi, Marios C. & Geoffrey Schoenbaum. (2024). Modeling impaired insight after drug use in rodents.. Behavioral Neuroscience. 138(4). 291–300.
5.
Grima, Laura L., Marios C. Panayi, Emilie Syed, et al.. (2022). Nucleus accumbens D1-receptors regulate and focus transitions to reward-seeking action. Neuropsychopharmacology. 47(9). 1721–1731. 6 indexed citations
6.
Panayi, Marios C., Thomas Boerner, Anna Huber, et al.. (2022). Glutamatergic dysfunction leads to a hyper-dopaminergic phenotype through deficits in short-term habituation: a mechanism for aberrant salience. Molecular Psychiatry. 28(2). 579–587. 11 indexed citations
7.
Hart, Evan E., Matthew Gardner, Marios C. Panayi, Thorsten Kahnt, & Geoffrey Schoenbaum. (2022). Calcium activity is a degraded estimate of spikes. Current Biology. 32(24). 5364–5373.e4. 6 indexed citations
8.
Panayi, Marios C. & Simon Killcross. (2022). Outcome devaluation by specific satiety disrupts sensory-specific Pavlovian-to-instrumental transfer. Frontiers in Behavioral Neuroscience. 16. 983480–983480. 3 indexed citations
9.
Burman, Richard J., Sarah E. Newey, Tomoko Yamagata, et al.. (2022). Intracellular chloride regulation mediates local sleep pressure in the cortex. Nature Neuroscience. 26(1). 64–78. 40 indexed citations
10.
Panayi, Marios C. & Simon Killcross. (2021). The Role of the Rodent Lateral Orbitofrontal Cortex in Simple Pavlovian Cue-Outcome Learning Depends on Training Experience. Cerebral Cortex Communications. 2(1). tgab010–tgab010. 6 indexed citations
11.
Panayi, Marios C., Mehdi Khamassi, & Simon Killcross. (2021). The rodent lateral orbitofrontal cortex as an arbitrator selecting between model-based and model-free learning systems.. Behavioral Neuroscience. 135(2). 226–244. 4 indexed citations
12.
Grima, Laura L., et al.. (2021). 5-HT2C receptor perturbation has bidirectional influence over instrumental vigour and restraint. Psychopharmacology. 239(1). 123–140. 4 indexed citations
13.
Panayi, Marios C., et al.. (2021). Organization of Afferents along the Anterior–posterior and Medial–lateral Axes of the Rat Orbitofrontal Cortex. Neuroscience. 460. 53–68. 35 indexed citations
14.
Walton, Mark E., et al.. (2021). Defining an orbitofrontal compass: Functional and anatomical heterogeneity across anterior–posterior and medial–lateral axes.. Behavioral Neuroscience. 135(2). 165–173. 15 indexed citations
15.
Holmes, Nathan M., Jiajing Pan, Andrew Davis, Marios C. Panayi, & Kelly J. Clemens. (2018). Rats choose high doses of nicotine in order to compensate for changes in its price and availability. Addiction Biology. 24(5). 849–859. 3 indexed citations
18.
Hart, Genevra, Marios C. Panayi, Justin A. Harris, & R. Frederick Westbrook. (2014). Benzodiazepine treatment can impair or spare extinction, depending on when it is given. Behaviour Research and Therapy. 56. 22–29. 21 indexed citations
19.
Panayi, Marios C. & Simon Killcross. (2013). Orbitofrontal cortex inactivation impairs between- but not within-session Pavlovian extinction: An associative analysis. Neurobiology of Learning and Memory. 108. 78–87. 20 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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