Stan Floresco

21.6k total citations · 5 hit papers
162 papers, 16.4k citations indexed

About

Stan Floresco is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Stan Floresco has authored 162 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cellular and Molecular Neuroscience, 111 papers in Cognitive Neuroscience and 39 papers in Behavioral Neuroscience. Recurrent topics in Stan Floresco's work include Neurotransmitter Receptor Influence on Behavior (90 papers), Memory and Neural Mechanisms (88 papers) and Neuroscience and Neuropharmacology Research (59 papers). Stan Floresco is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (90 papers), Memory and Neural Mechanisms (88 papers) and Neuroscience and Neuropharmacology Research (59 papers). Stan Floresco collaborates with scholars based in Canada, United States and Australia. Stan Floresco's co-authors include Anthony G. Phillips, Jeremy K. Seamans, Anthony A. Grace, Sarvin Ghods-Sharifi, Maric Tse, Jennifer R. St. Onge, Colin M. Stopper, Daniel J. Lodge, Yukiori Goto and Anthony R. West and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Stan Floresco

157 papers receiving 16.2k citations

Hit Papers

Afferent modulation of dopamine neuron firing differentia... 1995 2026 2005 2015 2003 2007 1995 1997 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stan Floresco Canada 72 10.6k 8.9k 3.9k 2.7k 2.2k 162 16.4k
Jane R. Taylor United States 76 10.8k 1.0× 6.6k 0.7× 4.8k 1.2× 2.6k 1.0× 2.3k 1.0× 236 18.7k
David M. Bannerman United Kingdom 66 8.7k 0.8× 8.6k 1.0× 2.9k 0.7× 2.4k 0.9× 1.9k 0.9× 202 16.6k
Henriette van Praag United States 52 7.7k 0.7× 4.6k 0.5× 4.3k 1.1× 2.6k 1.0× 1.4k 0.6× 98 22.9k
J. N. P. Rawlins United Kingdom 71 12.3k 1.2× 13.0k 1.5× 4.0k 1.0× 3.3k 1.2× 2.2k 1.0× 170 24.6k
Kay M. Tye United States 47 9.1k 0.9× 7.6k 0.9× 3.5k 0.9× 2.3k 0.9× 3.3k 1.5× 77 15.6k
John D. Salamone United States 79 12.4k 1.2× 5.9k 0.7× 4.2k 1.1× 2.0k 0.7× 2.9k 1.3× 265 19.3k
Michela Gallagher United States 92 14.5k 1.4× 15.7k 1.8× 5.1k 1.3× 4.2k 1.5× 2.9k 1.3× 284 26.2k
William A. Carlezon United States 71 11.1k 1.1× 4.2k 0.5× 6.3k 1.6× 2.7k 1.0× 2.0k 0.9× 205 17.2k
Louk J. M. J. Vanderschuren Netherlands 64 9.2k 0.9× 3.8k 0.4× 3.7k 1.0× 2.2k 0.8× 4.1k 1.9× 187 14.7k
Timothy J. Bussey United Kingdom 75 7.8k 0.7× 10.3k 1.2× 2.6k 0.7× 1.8k 0.7× 2.1k 1.0× 159 16.0k

Countries citing papers authored by Stan Floresco

Since Specialization
Citations

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

Fields of papers citing papers by Stan Floresco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan Floresco. 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 Stan Floresco. The network helps show where Stan Floresco may publish in the future.

Co-authorship network of co-authors of Stan Floresco

This figure shows the co-authorship network connecting the top 25 collaborators of Stan Floresco. A scholar is included among the top collaborators of Stan Floresco 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 Stan Floresco. Stan Floresco 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.
Floresco, Stan, et al.. (2025). Medial Orbitofrontal, Prefrontal, and Amygdalar Circuits Support Dissociable Component Processes of Risk/Reward Decision-Making. Journal of Neuroscience. 45(16). e2147242025–e2147242025. 1 indexed citations
3.
Floresco, Stan, et al.. (2024). Acute stress differentially alters reward-related decision making and inhibitory control under threat of punishment. Neurobiology of Stress. 30. 100633–100633. 1 indexed citations
4.
Seib, Désirée R., Daniel J. Tobiansky, John Meitzen, Stan Floresco, & Kiran K. Soma. (2023). Neurosteroids and the mesocorticolimbic system. Neuroscience & Biobehavioral Reviews. 153. 105356–105356. 14 indexed citations
5.
Floresco, Stan, et al.. (2022). Medial orbitofrontal cortical regulation of different aspects of Pavlovian and instrumental reward seeking. Psychopharmacology. 240(3). 441–459. 2 indexed citations
6.
Anderson, Michael C. & Stan Floresco. (2021). Prefrontal-hippocampal interactions supporting the extinction of emotional memories: the retrieval stopping model. Neuropsychopharmacology. 47(1). 180–195. 52 indexed citations
7.
Seib, Désirée R., et al.. (2021). Hippocampal neurogenesis promotes preference for future rewards. Molecular Psychiatry. 26(11). 6317–6335. 14 indexed citations
8.
Floresco, Stan, et al.. (2020). Prelimbic and Infralimbic Prefrontal Regulation of Active and Inhibitory Avoidance and Reward-Seeking. Journal of Neuroscience. 40(24). 4773–4787. 86 indexed citations
9.
Hoffman, Michaela, et al.. (2019). The Abused Inhalant Toluene Impairs Medial Prefrontal Cortex Activity and Risk/Reward Decision-Making during a Probabilistic Discounting Task. Journal of Neuroscience. 39(46). 9207–9220. 15 indexed citations
11.
Bangasser, Debra A., et al.. (2019). Corticotropin-Releasing Factor (CRF) circuit modulation of cognition and motivation. Neuroscience & Biobehavioral Reviews. 103. 50–59. 60 indexed citations
12.
Tse, Maric, et al.. (2018). Effects of aging on executive functioning and mesocorticolimbic dopamine markers in male Fischer 344 × brown Norway rats. Neurobiology of Aging. 72. 134–146. 18 indexed citations
13.
Floresco, Stan, et al.. (2018). Differential Contributions of Nucleus Accumbens Subregions to Cue-Guided Risk/Reward Decision Making and Implementation of Conditional Rules. Journal of Neuroscience. 38(8). 1901–1914. 46 indexed citations
15.
Larkin, Joshua D., et al.. (2017). Prefrontal Dopamine D 1 and D 2 Receptors Regulate Dissociable Aspects of Decision Making via Distinct Ventral Striatal and Amygdalar Circuits. Journal of Neuroscience. 37(26). 6200–6213. 79 indexed citations
16.
Dalton, Gemma L., et al.. (2016). Multifaceted Contributions by Different Regions of the Orbitofrontal and Medial Prefrontal Cortex to Probabilistic Reversal Learning. Journal of Neuroscience. 36(6). 1996–2006. 137 indexed citations
17.
Winstanley, Catharine A. & Stan Floresco. (2016). Deciphering Decision Making: Variation in Animal Models of Effort- and Uncertainty-Based Choice Reveals Distinct Neural Circuitries Underlying Core Cognitive Processes. Journal of Neuroscience. 36(48). 12069–12079. 82 indexed citations
18.
Floresco, Stan, et al.. (2016). Prefrontal cortical GABAergic and NMDA glutamatergic regulation of delayed responding. Neuropharmacology. 113(Pt A). 10–20. 25 indexed citations
19.
Piantadosi, Patrick T., et al.. (2015). Perturbations in reward-related decision-making induced by reduced prefrontal cortical GABA transmission: Relevance for psychiatric disorders. Neuropharmacology. 101. 279–290. 31 indexed citations
20.
Floresco, Stan & Anthony G. Phillips. (2001). Delay-dependent modulation of memory retrieval by infusion of a dopamine D₁ agonist into the rat medial prefrontal cortex.. Behavioral Neuroscience. 115(4). 934–939. 168 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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