Rebecca Upton

24 total papers · 943 total citations
16 papers, 568 citations indexed

About

Rebecca Upton is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rebecca Upton has authored 16 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rebecca Upton's work include Adenosine and Purinergic Signaling (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Rebecca Upton is often cited by papers focused on Adenosine and Purinergic Signaling (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Rebecca Upton collaborates with scholars based in United Kingdom. Rebecca Upton's co-authors include M. H. Joseph, R. G. Ahier, Andrew M. J. Young, J.A. Gray, Scott Μ. Weiss, Colin T. Dourish, Joanne Lerpiniere, Robert M. Pratt, Ian A. Cliffe and Timothy W. Evans and has published in prestigious journals such as Neurology, Brain Research and Neuroscience.

In The Last Decade

Rebecca Upton

16 papers receiving 543 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rebecca Upton	285	253	103	84	74	16	568
Jill A. Stivers	294 1.0×	375 1.5×	64 0.6×	122 1.5×	49 0.7×	13	648
D A Taylor	268 0.9×	326 1.3×	41 0.4×	41 0.5×	20 0.3×	16	547
Joana M. Marques	264 0.9×	311 1.2×	75 0.7×	160 1.9×	13 0.2×	19	651
Marina Rossato Adami	107 0.4×	120 0.5×	69 0.7×	126 1.5×	32 0.4×	25	544
Galo L. Mejia	249 0.9×	193 0.8×	55 0.5×	12 0.1×	63 0.9×	19	616
Sonia Canterini	257 0.9×	80 0.3×	75 0.7×	31 0.4×	23 0.3×	32	666
JB Mitchell	181 0.6×	253 1.0×	82 0.8×	98 1.2×	10 0.1×	8	629
Timothy Johnstone	455 1.6×	240 0.9×	64 0.6×	16 0.2×	56 0.8×	24	671
Daniela Herrera Moro Chao	167 0.6×	88 0.3×	48 0.5×	30 0.4×	82 1.1×	14	658
F. Lasbennes	318 1.1×	279 1.1×	23 0.2×	57 0.7×	15 0.2×	16	624

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

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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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