Laura Sutton

9 papers receiving 217 citations

Peers

Laura Sutton
Comparison fields: 5 of 51
  • Biological Psychiatry 30
  • Endocrine and Autonomic Systems 46
  • Cognitive Neuroscience 94
  • Experimental and Cognitive Psychology 57
  • Cellular and Molecular Neuroscience 67
Replace Katherine McPherson with:
Katherine McPherson United States
Viviana Tubazio Italy
Tonya Calhoun United States
Yannick Le Dantec France
Lourdes Galicia-Polo Mexico
Mathilde Antoniades United Kingdom
Laura E. Dennis United States
Mami Nakashima Japan
Sean O’Sullivan United States
David M. Christmas United Kingdom
Laura Sutton relative to Katherine McPherson United States Katherine McPherson's profile →
Citations per field
00.5×1.5×2.1×
Katherine McPherson · 1×
Citations per year

Countries citing papers authored by Laura Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Laura Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Laura Sutton, 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 Laura Sutton Line = papers co-authored together Laura Sutton links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199158
2
Elongation of cat eyes following neonatal lid suture.
198246
3 199039
4 199533
5 199127
6 199318
7 20058
8 20222
9 20001

About Laura Sutton

Laura Sutton is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 232 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (4 papers), Sleep and related disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Attention Deficit Hyperactivity Disorder (1 paper), Insect and Pesticide Research (1 paper), Neuroscience of respiration and sleep (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Pesticide Exposure and Toxicity (1 paper). The work is most often cited by research in Biological Psychiatry (30 citations), Endocrine and Autonomic Systems (46 citations), Cognitive Neuroscience (94 citations), Experimental and Cognitive Psychology (57 citations) and Cellular and Molecular Neuroscience (67 citations). Laura Sutton has collaborated with scholars based in United States. Frequent co-authors include J. Christian Gillin, Shahrokh Golshan, David S. Janowsky, Denis F. Darko, David S. Janowsky, S. Craig Risch, John Lauriello, Mark Hyman Rapaport, J. Christian Gillin and John R. Kelsoe. Their work appears in journals such as Biological Psychiatry, Psychiatry Research, Documenta Ophthalmologica, Analytical Biochemistry and PLoS ONE.

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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