Graham J. Riley

5.6k citations
70 papers · 4.1k indexed · h-index 31
Topics
Receptor Mechanisms and Signaling (35 papers)Neurotransmitter Receptor Influence on Behavior (20 papers)Pharmacological Receptor Mechanisms and Effects (10 papers)

In The Last Decade

Graham J. Riley

70 papers receiving 3.9k citations

Peers

Graham J. Riley
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 2.3k
  • Molecular Biology 1.8k
  • Organic Chemistry 797
  • Pharmacology 779
  • Cognitive Neuroscience 458
Replace Bjarke Ebert with:
Bjarke Ebert Denmark
Aaron Janowsky United States
Thomas P. Blackburn United States
Robert J. Naylor United Kingdom
John S. Partilla United States
Lee E. Schechter United States
Manfred Göthert Germany
Kjell Svensson United States
Valérie Audinot France
Nika Adham United States
Graham J. Riley relative to Bjarke Ebert Denmark Bjarke Ebert's profile →
Citations per field
00.5×1.7×
Bjarke Ebert · 1×
Citations per year

Countries citing papers authored by Graham J. Riley

Since Specialization
Citations

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

Fields of papers citing papers by Graham J. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham J. Riley

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 30
2 22
3 101
4 12
5 53
6 78
7 13
8 254
9 15
10 58
11 16
12 119
13 14
14 103
15 6
16 455
17 68
18 171
19 5
20 29

About Graham J. Riley

Graham J. Riley is a scholar working on Cellular and Molecular Neuroscience, Physiology and Organic Chemistry, having authored 70 papers that have together received 4.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (35 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Endocrine and Autonomic Systems (312 citations) and Pharmacology (779 citations). Graham J. Riley has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Steven M. Bromidge, Derek N. Middlemiss, Tania O. Stean, Ian T. Forbes, Vicky Holland, David R. Thomas, Jim J. Hagan, Martyn Wood, Gary Price and Neil Upton. Their work appears in journals such as The Lancet, Journal of Medicinal Chemistry and Journal of Neurochemistry.

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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