Dayne Beccano-Kelly

1.8k citations
17 papers · 890 indexed · 1 hit paper · h-index 13
Topics
Parkinson's Disease Mechanisms and Treatments (11 papers)Neuroscience and Neuropharmacology Research (6 papers)Genetic Neurodegenerative Diseases (4 papers)

In The Last Decade

Dayne Beccano-Kelly

17 papers receiving 888 citations

Hit Papers

Impaired dopamine release in Parkinson’s disease20232026202420252023255075100

Peers

Dayne Beccano-Kelly
Comparison fields: 5 of 82
  • Neurology 453
  • Cellular and Molecular Neuroscience 331
  • Physiology 265
  • Molecular Biology 250
  • Neurology 156
Replace Alevtina Zharikov with:
Alevtina Zharikov United States
Rubén Fernández‐Santiago Spain
Hanna Wootz Sweden
Ilaria Barone Italy
Amber D. Van Laar United States
Antonella Borreca Italy
Florian Giesert Germany
Raquel B. Dias Portugal
Giovanna Levandis Italy
Michael X. Henderson United States
Dayne Beccano-Kelly relative to Alevtina Zharikov United States Alevtina Zharikov's profile →
Citations per field
00.5×2.5×
Alevtina Zharikov · 1×
Citations per year

Countries citing papers authored by Dayne Beccano-Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Dayne Beccano-Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayne Beccano-Kelly. 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 Dayne Beccano-Kelly. The network helps show where Dayne Beccano-Kelly may publish in the future.

Co-authorship network of co-authors of Dayne Beccano-Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Dayne Beccano-Kelly. A scholar is included among the top collaborators of Dayne Beccano-Kelly 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 Dayne Beccano-Kelly. Dayne Beccano-Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 4
2 7
3 17
4
Impaired dopamine release in Parkinson’s diseasebreakdown →
103
5 11
6 1
7 14
8 14
9 65
10 37
11 99
12 86
13 76
14 111
15 97
16 33
17 115

About Dayne Beccano-Kelly

Dayne Beccano-Kelly is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 17 papers that have together received 890 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (453 citations), Neurology (156 citations) and Cellular and Molecular Neuroscience (331 citations). Dayne Beccano-Kelly has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Austen J. Milnerwood, Jenni Harvey, Richard Wade‐Martins, Mattia Volta, Igor Tatarnikov, Matthew J. Farrer, Kaitlyn M. L. Cramb, Stephanie J. Cragg, Lise N. Munsie and Liping Cao. Their work appears in journals such as Nature Neuroscience, Brain and Scientific Reports.

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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