David N. Potter

1.4k total citations
24 papers, 1.1k citations indexed

About

David N. Potter is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, David N. Potter has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in David N. Potter's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuropeptides and Animal Physiology (11 papers) and Receptor Mechanisms and Signaling (10 papers). David N. Potter is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Neuropeptides and Animal Physiology (11 papers) and Receptor Mechanisms and Signaling (10 papers). David N. Potter collaborates with scholars based in United States, United Kingdom and Germany. David N. Potter's co-authors include Elena H. Chartoff, William A. Carlezon, Mitchell F. Roitman, Stephanie R. Ebner, Bruce M. Cohen, Diane Damez-Werno, Marco Pravetoni, Maria Mavrikaki, Jackson J. Cone and Heather C. Brenhouse and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

David N. Potter

24 papers receiving 1.1k citations

Peers

David N. Potter
Luis A. Natividad United States
Scott A. Chen United States
Kaushik Misra United States
Sandy Ghozland United States
Monique L. Smith United States
M. Luisa Laorden Spain
Amalia Fedeli Italy
Stefania Angeletti Italy
Peter W. Marinelli Canada
Manoranjan S. D’Souza United States
Luis A. Natividad United States
David N. Potter
Citations per year, relative to David N. Potter David N. Potter (= 1×) peers Luis A. Natividad

Countries citing papers authored by David N. Potter

Since Specialization
Citations

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

Fields of papers citing papers by David N. Potter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Potter. 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 David N. Potter. The network helps show where David N. Potter may publish in the future.

Co-authorship network of co-authors of David N. Potter

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Potter. A scholar is included among the top collaborators of David N. Potter 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 David N. Potter. David N. Potter 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.
Selley, Dana E., Matthew F. Lazenka, Laura J. Sim‐Selley, et al.. (2020). Attenuated dopamine receptor signaling in nucleus accumbens core in a rat model of chemically-induced neuropathy. Neuropharmacology. 166. 107935–107935. 14 indexed citations
2.
Mavrikaki, Maria, Lorena Pantano, David N. Potter, et al.. (2019). Sex-Dependent Changes in miRNA Expression in the Bed Nucleus of the Stria Terminalis Following Stress. Frontiers in Molecular Neuroscience. 12. 236–236. 15 indexed citations
3.
Potter, David N., et al.. (2018). Females are less sensitive than males to the motivational- and dopamine-suppressing effects of kappa opioid receptor activation. Neuropharmacology. 146. 231–241. 39 indexed citations
4.
Der‐Avakian, Andre, Manoranjan S. D’Souza, David N. Potter, et al.. (2017). Social defeat disrupts reward learning and potentiates striatal nociceptin/orphanin FQ mRNA in rats. Psychopharmacology. 234(9-10). 1603–1614. 55 indexed citations
5.
Mavrikaki, Maria, et al.. (2017). Oxycodone self-administration in male and female rats. Psychopharmacology. 234(6). 977–987. 73 indexed citations
6.
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
7.
Chartoff, Elena H., Angela M. Sparrow, David N. Potter, et al.. (2015). Relative Timing Between Kappa Opioid Receptor Activation and Cocaine Determines the Impact on Reward and Dopamine Release. Neuropsychopharmacology. 41(4). 989–1002. 40 indexed citations
8.
Dow, Antonia, Tiffany V. Lin, Elena H. Chartoff, et al.. (2015). Sprouty2 in the Dorsal Hippocampus Regulates Neurogenesis and Stress Responsiveness in Rats. PLoS ONE. 10(3). e0120693–e0120693. 6 indexed citations
9.
10.
Yap, Jasmine, Elena H. Chartoff, Elizabeth N. Holly, et al.. (2014). Social defeat stress-induced sensitization and escalated cocaine self-administration: the role of ERK signaling in the rat ventral tegmental area. Psychopharmacology. 232(9). 1555–1569. 45 indexed citations
11.
Pravetoni, Marco, et al.. (2014). Effects of an Oxycodone Conjugate Vaccine on Oxycodone Self-Administration and Oxycodone-Induced Brain Gene Expression in Rats. PLoS ONE. 9(7). e101807–e101807. 50 indexed citations
12.
Ganguly, Prabarna, et al.. (2014). Early life stress disrupts social behavior and prefrontal cortex parvalbumin interneurons at an earlier time-point in females than in males. Neuroscience Letters. 566. 131–136. 92 indexed citations
13.
Veer, Ashlee Van’t, Anita J. Bechtholt, Sara Onvani, et al.. (2013). Ablation of Kappa-Opioid Receptors from Brain Dopamine Neurons has Anxiolytic-Like Effects and Enhances Cocaine-Induced Plasticity. Neuropsychopharmacology. 38(8). 1585–1597. 47 indexed citations
14.
Cone, Jackson J., Elena H. Chartoff, David N. Potter, Stephanie R. Ebner, & Mitchell F. Roitman. (2013). Prolonged High Fat Diet Reduces Dopamine Reuptake without Altering DAT Gene Expression. PLoS ONE. 8(3). e58251–e58251. 91 indexed citations
15.
Béguin, Cécile, David N. Potter, William A. Carlezon, Thomas Stöhr, & Bruce M. Cohen. (2012). Effects of the anticonvulsant lacosamide compared to valproate and lamotrigine on cocaine-enhanced reward in rats. Brain Research. 1479. 44–51. 11 indexed citations
16.
Potter, David N., Diane Damez-Werno, William A. Carlezon, Bruce M. Cohen, & Elena H. Chartoff. (2011). Repeated Exposure to the κ-Opioid Receptor Agonist Salvinorin A Modulates Extracellular Signal-Regulated Kinase and Reward Sensitivity. Biological Psychiatry. 70(8). 744–753. 73 indexed citations
17.
18.
Chartoff, Elena H., David N. Potter, Diane Damez-Werno, Bruce M. Cohen, & William A. Carlezon. (2008). Exposure to the Selective κ-Opioid Receptor Agonist Salvinorin A Modulates the Behavioral and Molecular Effects of Cocaine in Rats. Neuropsychopharmacology. 33(11). 2676–2687. 54 indexed citations
19.
Chartoff, Elena H., Maria Papadopoulou, Aram Parsegian, et al.. (2008). Desipramine Reduces Stress-Activated Dynorphin Expression and CREB Phosphorylation in NAc Tissue. Molecular Pharmacology. 75(3). 704–712. 66 indexed citations
20.
Béguin, Cécile, David N. Potter, Jennifer A. DiNieri, et al.. (2007). N-Methylacetamide Analog of Salvinorin A: A Highly Potent and Selective κ-Opioid Receptor Agonist with Oral Efficacy. Journal of Pharmacology and Experimental Therapeutics. 324(1). 188–195. 37 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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