Shawn D. Burton

1.2k citations
24 papers · 702 indexed · h-index 15

Shawn D. Burton

22 papers receiving 698 citations

Peers

Shawn D. Burton
Comparison fields: 5 of 76
  • Sensory Systems 350
  • Cellular and Molecular Neuroscience 394
  • Cognitive Neuroscience 226
  • Nutrition and Dietetics 132
  • Neurology 64
Replace Jennifer D. Whitesell with:
Jennifer D. Whitesell United States
Julian P. Meeks United States
Kazuyuki Imamura Japan
Matthew Barker United Kingdom
Stephan Junek Germany
Claire E. J. Cheetham United States
Jérôme Bourien France
F. de Ribaupierre Switzerland
Andreas Brandt Germany
Yujiao Jennifer Sun United States
Shawn D. Burton relative to Jennifer D. Whitesell United States Jennifer D. Whitesell's profile →
Citations per field
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Jennifer D. Whitesell · 1×
Citations per year

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

The 25 scholars most cited alongside Shawn D. Burton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shawn D. Burton Line = papers co-authored together Shawn D. Burton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202213
3 20217
4 201916
5 201819
6 201744
7 201784
8 201634
9 201546
10 201513
11 201530
12 201510
13 201479
14 20141
15 201325
16 201348
17 20125
18 201214
19 201239
20 200846

About Shawn D. Burton

Shawn D. Burton is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 24 papers that have together received 702 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (14 papers), Neurobiology and Insect Physiology Research (10 papers), Neural dynamics and brain function (8 papers), Biochemical Analysis and Sensing Techniques (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Chemical Sensor Technologies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Sensory Systems (350 citations), Cellular and Molecular Neuroscience (394 citations) and Cognitive Neuroscience (226 citations). Shawn D. Burton has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Nathaniel N. Urban, Shreejoy J. Tripathy, Matthew Geramita, Richard C. Gerkin, Bard Ermentrout, Haitao Ji, Zheng Huang, Min Zhang, Matt Wachowiak and Pengcheng Zhou. Their work appears in journals such as Nature Communications, Journal of Neuroscience and The Journal of Physiology.

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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