Jessie L. Sutton

8 total papers · 430 total citations
6 papers, 353 citations indexed

About

Jessie L. Sutton is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology. According to data from OpenAlex, Jessie L. Sutton has authored 6 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Pharmacology and 2 papers in Molecular Biology. Recurrent topics in Jessie L. Sutton's work include Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Cannabis and Cannabinoid Research (4 papers). Jessie L. Sutton is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Cannabis and Cannabinoid Research (4 papers). Jessie L. Sutton collaborates with scholars based in United States. Jessie L. Sutton's co-authors include Richard J. Lewis, Richard E. Link, L. Hedley, John C. Hunter, D. Fontana, Jeffrey R. Jasper, Richard M. Eglen, Peter J. Winsauer, Keith C. Kajander and Maria L. Maccecchini and has published in prestigious journals such as Neuroscience, British Journal of Pharmacology and Frontiers in Pharmacology.

In The Last Decade

Jessie L. Sutton

6 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Jessie L. Sutton	183	120	102	80	68	6	353
Laurence E. Domino	86 0.5×	74 0.6×	76 0.7×	159 2.0×	111 1.6×	7	391
Kathleen A. Haberny	229 1.3×	101 0.8×	76 0.7×	37 0.5×	27 0.4×	8	356
Cameron J. Weir	173 0.9×	113 0.9×	37 0.4×	17 0.2×	42 0.6×	9	356
Yu-Wen Chang	141 0.8×	83 0.7×	241 2.4×	56 0.7×	22 0.3×	7	396
Michaela Scheller	207 1.1×	196 1.6×	49 0.5×	38 0.5×	61 0.9×	15	364
Hillary Doyle	141 0.8×	53 0.4×	148 1.5×	48 0.6×	28 0.4×	8	358
Glenn-Marie Le Coz	119 0.7×	58 0.5×	192 1.9×	40 0.5×	68 1.0×	3	316
Daniela Mohr	208 1.1×	127 1.1×	229 2.2×	21 0.3×	28 0.4×	6	387
Aleksandar Lj. Obradović	143 0.8×	175 1.5×	155 1.5×	22 0.3×	22 0.3×	12	333
Fiona A. Bull	81 0.4×	66 0.6×	111 1.1×	40 0.5×	153 2.3×	5	392

Countries citing papers authored by Jessie L. Sutton

Since Specialization

Citations

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

Fields of papers citing papers by Jessie L. Sutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessie L. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Jessie L. Sutton. A scholar is included among the top collaborators of Jessie L. Sutton 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 Jessie L. Sutton. Jessie L. Sutton 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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