Gemma L. Dalton

881 total citations
10 papers, 713 citations indexed

About

Gemma L. Dalton is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Gemma L. Dalton has authored 10 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Social Psychology. Recurrent topics in Gemma L. Dalton's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Gemma L. Dalton is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Gemma L. Dalton collaborates with scholars based in Canada, United Kingdom and Taiwan. Gemma L. Dalton's co-authors include Stan Floresco, Anthony G. Phillips, Yu Tian Wang, Liisa A.M. Galea, Cindy K. Barha, Dong Wu, Liya Ma, Colin T. Dourish, G.A. Kennett and Peter G. Clifton and has published in prestigious journals such as Journal of Neuroscience, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Gemma L. Dalton

10 papers receiving 706 citations

Peers

Gemma L. Dalton

CMN

CN

BN

MB

SP

Kevin B. Baker United States

B. Sofia Beas United States

Alexandra Kavushansky Israel

Israela Balderas Mexico

Amy Arnsten United States

Claudia Schmuckermair Austria

Chianfang G. Cherng Taiwan

Éric Balado France

Kenkichi Takase Japan

Marc Pallarés Spain

Kevin B. Baker United States

Gemma L. Dalton

233 ×0.5

CMN

259 ×0.7

CN

169 ×0.9

BN

161 ×1.1

MB

84 ×0.7

SP

Citations per year, relative to Gemma L. Dalton Gemma L. Dalton (= 1×) peers Kevin B. Baker

Countries citing papers authored by Gemma L. Dalton

Since Specialization

Citations

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

Fields of papers citing papers by Gemma L. Dalton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma L. Dalton. 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 Gemma L. Dalton. The network helps show where Gemma L. Dalton may publish in the future.

Co-authorship network of co-authors of Gemma L. Dalton

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

All Works

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10 of 10 papers shown

1.

Dalton, Gemma L., et al.. (2025). Valence-dependent contribution by the basolateral amygdala to active but not inhibitory avoidance and reward-seeking. Behavioural Brain Research. 484. 115503–115503. 2 indexed citations

2.

Dalton, Gemma L., Stan Floresco, & Anthony G. Phillips. (2021). Differential effects of d- and l-enantiomers of govadine on distinct forms of cognitive flexibility and a comparison with dopaminergic drugs. Psychopharmacology. 238(4). 1069–1085. 2 indexed citations

3.

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

4.

Dalton, Gemma L., Anthony G. Phillips, & Stan Floresco. (2014). Preferential Involvement by Nucleus Accumbens Shell in Mediating Probabilistic Learning and Reversal Shifts. Journal of Neuroscience. 34(13). 4618–4626. 79 indexed citations

5.

Dalton, Gemma L., Liya Ma, Anthony G. Phillips, & Stan Floresco. (2011). Blockade of NMDA GluN2B receptors selectively impairs behavioral flexibility but not initial discrimination learning. Psychopharmacology. 216(4). 525–535. 63 indexed citations

6.

Dalton, Gemma L., Dong Wu, Yu Tian Wang, Stan Floresco, & Anthony G. Phillips. (2011). NMDA GluN2A and GluN2B receptors play separate roles in the induction of LTP and LTD in the amygdala and in the acquisition and extinction of conditioned fear. Neuropharmacology. 62(2). 797–806. 119 indexed citations

7.

Barha, Cindy K., Gemma L. Dalton, & Liisa A.M. Galea. (2009). Low Doses of 17α-Estradiol and 17β-Estradiol Facilitate, Whereas Higher Doses of Estrone and 17α- and 17β-Estradiol Impair, Contextual Fear Conditioning in Adult Female Rats. Neuropsychopharmacology. 35(2). 547–559. 106 indexed citations

8.

Dalton, Gemma L., Yu Tian Wang, Stan Floresco, & Anthony G. Phillips. (2007). Disruption of AMPA Receptor Endocytosis Impairs the Extinction, but not Acquisition of Learned Fear. Neuropsychopharmacology. 33(10). 2416–2426. 130 indexed citations

9.

Dalton, Gemma L., et al.. (2006). Serotonin 1B and 2C receptor interactions in the modulation of feeding behaviour in the mouse. Psychopharmacology. 185(1). 45–57. 37 indexed citations

10.

Dalton, Gemma L., et al.. (2004). mCPP-induced hyperactivity in 5-HT2C receptor mutant mice is mediated by activation of multiple 5-HT receptor subtypes. Neuropharmacology. 46(5). 663–671. 38 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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