Gemma L. Dalton

10 total papers · 880 total citations
10 papers, 708 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 708 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 United States. 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 701 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gemma L. Dalton	429	363	188	142	114	10	708
Emanuele Seu	370 0.9×	287 0.8×	117 0.6×	154 1.1×	98 0.9×	16	691
Alexandra Kavushansky	285 0.7×	301 0.8×	316 1.7×	152 1.1×	176 1.5×	18	747
Claudia Schmuckermair	317 0.7×	253 0.7×	184 1.0×	194 1.4×	126 1.1×	15	714
Roelina Hagewoud	228 0.5×	457 1.3×	159 0.8×	76 0.5×	82 0.7×	9	754
Kimber L. Price	341 0.8×	187 0.5×	147 0.8×	92 0.6×	80 0.7×	16	674
Fran L. Martel	302 0.7×	277 0.8×	144 0.8×	185 1.3×	173 1.5×	13	740
Frode A. Tuvnes	452 1.1×	405 1.1×	258 1.4×	117 0.8×	158 1.4×	7	787
Flora Bird	283 0.7×	360 1.0×	113 0.6×	118 0.8×	97 0.9×	7	659
Karen Heman	280 0.7×	285 0.8×	312 1.7×	114 0.8×	151 1.3×	8	690
Georgina MacKenzie	399 0.9×	133 0.4×	218 1.2×	214 1.5×	156 1.4×	12	762

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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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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