Scott J. Barton

1.1k citations
30 papers · 838 · h-index 14

Impact in

    • Genetic Neurodegenerative Diseases
    • Neuroscience and Neuropharmacology Research
  • Neurology top 5%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Scott J. Barton

29 papers receiving 831 citations

Peers

Scott J. Barton
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 629
  • Neurology 358
  • Cognitive Neuroscience 98
  • Molecular Biology 317
  • Nutrition and Dietetics 65
Replace Anne Taupignon with:
Anne Taupignon France
Vincent Paillé France
Alessandra Bonito-Oliva Sweden
Julia Schiemann United Kingdom
Stephanie C. Gantz United States
Dagoberto Tapia Mexico
Hiroshi Hasuo Japan
Kjartan F. Herrik Denmark
Eleftheria K. Pissadaki United States
Scott J. Barton relative to Anne Taupignon France Anne Taupignon's profile →
Citations per field
00.5×4.9×
Anne Taupignon · 1×
Citations per year

Countries citing papers authored by Scott J. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Barton. 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 Scott J. Barton. The network helps show where Scott J. Barton may publish in the future.

Co-authors

The 25 scholars most cited alongside Scott J. Barton, 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 Scott J. Barton Line = papers co-authored together Scott J. Barton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 200782
3 200374
4 200871
5 200570
6 201069
7 200261
8 201159
9 201249
10 201542
11 201234
12 200924
13 201522
14 201217
15 201813
16 20139
17 20167
18 20136
19 20206
20 20125

About Scott J. Barton

Scott J. Barton is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 838 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (19 papers), Neurological disorders and treatments (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Music Technology and Sound Studies (6 papers), Neuroscience and Music Perception (6 papers), Music and Audio Processing (5 papers), Neural dynamics and brain function (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (629 citations), Neurology (358 citations), Cognitive Neuroscience (98 citations), Molecular Biology (317 citations) and Nutrition and Dietetics (65 citations). Scott J. Barton has collaborated with scholars based in United States and Mexico. Frequent co-authors include George V. Rebec, Benjamin Miller, Adam G. Walker, Susan K. Conroy, Anand S. Shah, S. Lee Hong, Anne L. Prieto, Youssef Sari, Ana María Estrada‐Sánchez and Lauren J. Walker. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Brain Research, Journal of Neurophysiology and Neuropharmacology.

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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