G. C. Preston

965 total citations
21 papers, 799 citations indexed

About

G. C. Preston is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, G. C. Preston has authored 21 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Pharmacology. Recurrent topics in G. C. Preston's work include Memory and Neural Mechanisms (13 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). G. C. Preston is often cited by papers focused on Memory and Neural Mechanisms (13 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). G. C. Preston collaborates with scholars based in United Kingdom, United States and Australia. G. C. Preston's co-authors include Michael Traub, N. J. Mackintosh, C. Ward, Peter F. Lovibond, Stephen M. Stahl, Paul Broks, Patsy Poppleton, J.A. Gray, Eleftheria Tsaltas and Christopher R. Lines and has published in prestigious journals such as Neuropsychologia, Psychopharmacology and Behavioural Brain Research.

In The Last Decade

G. C. Preston

21 papers receiving 752 citations

Peers

G. C. Preston
Comparison fields: 5 of 85
  • Cognitive Neuroscience 565
  • Cellular and Molecular Neuroscience 281
  • Psychiatry and Mental health 124
  • Pharmacology 114
  • Molecular Biology 106
Replace R. Scherschlicht with:
R. Scherschlicht Switzerland
D.N. Stephens United Kingdom
Randall Kiser United States
David V. Gauvin United States
P. Soubri� France
Yasushi Mizuki Japan
Tomoji Yanagita Japan
William Schallek United States
Renato Leonardo de Freitas Brazil
D. Hommer United States
R. Scherschlicht Switzerland View profile →
Citations per field, relative to G. C. Preston
G. C. Preston · 1×
Citations per year, relative to G. C. Preston
G. C. Preston · 1×

Countries citing papers authored by G. C. Preston

Since Specialization
Citations

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

Fields of papers citing papers by G. C. Preston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. C. Preston. 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 G. C. Preston. The network helps show where G. C. Preston may publish in the future.

Co-authorship network of co-authors of G. C. Preston

This figure shows the co-authorship network connecting the top 25 collaborators of G. C. Preston. A scholar is included among the top collaborators of G. C. Preston 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 G. C. Preston. G. C. Preston 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
# Work Indexed citations
1
Context specificity of conditioning and latent inhibition: Evidence for a dissociation of latent inhibition and associative interference
3
2 27
3 21
4 2
5 6
6 4
7 6
8 28
9 53
10 48
11 7
12 60
13 189
14 41
15 8
16 5
17 8
18 188
19 53
20 20

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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