Shawn D. Burton

42 total papers · 1.2k total citations
24 papers, 698 citations indexed

About

Shawn D. Burton is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Shawn D. Burton has authored 24 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 14 papers in Sensory Systems and 9 papers in Cognitive Neuroscience. Recurrent topics in Shawn D. Burton's work include Olfactory and Sensory Function Studies (14 papers), Neurobiology and Insect Physiology Research (10 papers) and Neural dynamics and brain function (8 papers). Shawn D. Burton is often cited by papers focused on Olfactory and Sensory Function Studies (14 papers), Neurobiology and Insect Physiology Research (10 papers) and Neural dynamics and brain function (8 papers). Shawn D. Burton collaborates with scholars based in United States, Bulgaria and Italy. Shawn D. Burton's co-authors include Nathaniel N. Urban, Matthew Geramita, Shreejoy J. Tripathy, Richard C. Gerkin, Bard Ermentrout, Min Zhang, Zheng Huang, Haitao Ji, Matt Wachowiak and Pengcheng Zhou and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Shawn D. Burton

22 papers receiving 693 citations

Author Peers

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

Author Last Decade Papers Cites
Shawn D. Burton 392 350 225 132 116 24 698
Xiao‐Jie Cao 175 0.4× 345 1.0× 346 1.5× 43 0.3× 135 1.2× 27 635
S. Zhang 228 0.6× 394 1.1× 296 1.3× 51 0.4× 120 1.0× 14 603
Magdalena Sanhueza 474 1.2× 80 0.2× 183 0.8× 46 0.3× 284 2.4× 18 640
Jorge J. Prieto 193 0.5× 208 0.6× 372 1.7× 52 0.4× 69 0.6× 22 579
Matthew Barker 315 0.8× 242 0.7× 257 1.1× 17 0.1× 279 2.4× 10 683
Samuel Lagier 470 1.2× 518 1.5× 187 0.8× 151 1.1× 80 0.7× 12 735
Crista L. Adamson 254 0.6× 291 0.8× 179 0.8× 22 0.2× 179 1.5× 10 590
Ryota Homma 328 0.8× 341 1.0× 144 0.6× 166 1.3× 110 0.9× 27 736
John C. Curtis 313 0.8× 50 0.1× 340 1.5× 44 0.3× 227 2.0× 13 680
Daniela Brunert 344 0.9× 276 0.8× 91 0.4× 166 1.3× 234 2.0× 19 725

Countries citing papers authored by Shawn D. Burton

Since Specialization
Citations

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

Fields of papers citing papers by Shawn D. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn D. Burton. 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 Shawn D. Burton. The network helps show where Shawn D. Burton may publish in the future.

Co-authorship network of co-authors of Shawn D. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn D. Burton. A scholar is included among the top collaborators of Shawn D. Burton 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 Shawn D. Burton. Shawn D. Burton 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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