Rebecca Upton

943 citations
16 papers · 570 indexed · h-index 11
Topics
Adenosine and Purinergic Signaling (6 papers)Receptor Mechanisms and Signaling (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
Partner nations
United Kingdom

In The Last Decade

Rebecca Upton

16 papers receiving 545 citations

Peers

Rebecca Upton
Comparison fields: 5 of 85
  • Molecular Biology 287
  • Cellular and Molecular Neuroscience 252
  • Cognitive Neuroscience 103
  • Physiology 84
  • Organic Chemistry 74
Replace Katsutoshi Ido with:
Katsutoshi Ido Japan
Alessandro Guidotti United States
Claudio Alberto Serfaty Brazil
Galo L. Mejia United States
Hinrich Cramer Germany
Ganggang Peng Taiwan
Birthe Jakobsen Denmark
Verònica Casadó-Anguera Spain
M. Ballarín Spain
K. Jellinger Austria
Rebecca Upton relative to Katsutoshi Ido Japan Katsutoshi Ido's profile →
Citations per field
00.5×3.2×
Katsutoshi Ido · 1×
Citations per year

Countries citing papers authored by Rebecca Upton

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Upton

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 55
4 24
5 79
6 64
7 16
8 19
9
Discovery of nonxanthine adenosine A 2A receptor antagonists for the treatment of Parkinson's disease
9
10 106
11
"Our blood does not agree" : negotiating infertility in Northern Botswana
4
12 129
13 2
14 14
15 11
16 36

About Rebecca Upton

Rebecca Upton is a scholar working on Physiology, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 570 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Physiology (84 citations), Cellular and Molecular Neuroscience (252 citations) and Biological Psychiatry (14 citations). Rebecca Upton has collaborated with scholars based in United Kingdom. Frequent co-authors include Andrew M. J. Young, J.A. Gray, R. G. Ahier, M. H. Joseph, Scott Μ. Weiss, Colin T. Dourish, Joanne Lerpiniere, Robert M. Pratt, Ian A. Cliffe and Andrew G. Nicholson. Their work appears in journals such as Neurology, Brain Research and Neuroscience.

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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