Alison J. Smith

1.8k citations
30 papers · 1.3k indexed · 1 hit paper · h-index 16
Topics
Neuroscience and Neuropharmacology Research (17 papers)Pharmacological Receptor Mechanisms and Effects (8 papers)Neuropeptides and Animal Physiology (8 papers)

In The Last Decade

Alison J. Smith

29 papers receiving 1.3k citations

Hit Papers

Enhanced Learning and Memory and Altered GABAergic Synapt...20022026201020182002100200300400500

Peers

Alison J. Smith
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 758
  • Molecular Biology 515
  • Cognitive Neuroscience 260
  • Organic Chemistry 247
  • Physiology 109
Replace Kathleen Quirk with:
Kathleen Quirk United States
Paweł Mierzejewski Poland
P.E. Keane France
Charlie Reavill United Kingdom
Libby M. Yunger United States
Misty D. Smith United States
Alexander Kuzmin Russia
Thomas J. Hudzik United States
R. Tyler McCabe United States
Jerry A. Stitzel United States
Alison J. Smith relative to Kathleen Quirk United States Kathleen Quirk's profile →
Citations per field
00.5×1.5×2.1×
Kathleen Quirk · 1×
Citations per year

Countries citing papers authored by Alison J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Alison J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Alison J. Smith. A scholar is included among the top collaborators of Alison J. Smith 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 Alison J. Smith. Alison J. Smith 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 21
2 12
3 15
4 11
5 19
6 18
7 12
8 5
9 37
10 111
11 121
12 2
13 8
14 5
15 59
16 7
17 33
18 23
19 6
20 25

About Alison J. Smith

Alison J. Smith is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (758 citations), Behavioral Neuroscience (72 citations) and Biological Psychiatry (45 citations). Alison J. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ruth M. McKernan, John Atack, George Marshall, Thomas W. Rosahl, Neil Collinson, Frederick M. Kuenzi, Wolfgang Jarolimek, Owain W. Howell, Guy R. Seabrook and G. R. Dawson. Their work appears in journals such as Journal of Neuroscience, Journal of Medicinal Chemistry and The Journal of Infectious Diseases.

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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