Cavan Bennett

29 papers receiving 843 citations

Peers

Cavan Bennett
Comparison fields: 5 of 90
  • Sensory Systems 140
  • Hematology 228
  • Genetics 184
  • Cognitive Neuroscience 339
  • Cellular and Molecular Neuroscience 169
Replace Lucia Galli with:
Lucia Galli Italy
Yihe Guo United States
Mary Z. Pelias United States
Judith P. Willner United States
Patrick D. Gamp United States
Katrin Õunap Estonia
Cecilia Mancini Italy
John Wolff United States
Claudia Santoro Italy
Jan E. Dumon Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Cavan Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Cavan Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cavan Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cavan Bennett Line = papers co-authored together Cavan Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2
Perceptual learning in flavour aversion conditioning.
199176
3 201469
4 201760
5 201245
6 199544
7 201843
8 199942
9 200141
10 201540
11 201035
12 199934
13
Latent inhibition, context specificity, and context familiarity.
199434
14 200826
15 199426
16 200022
17 199522
18 202319
19 199619
20 199416

About Cavan Bennett

Cavan Bennett is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Sensory Systems and Nutrition and Dietetics, having authored 32 papers that have together received 869 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (9 papers), Memory and Neural Mechanisms (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Iron Metabolism and Disorders (4 papers), Kruppel-like factors research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Sensory Systems (140 citations), Hematology (228 citations), Genetics (184 citations), Cognitive Neuroscience (339 citations) and Cellular and Molecular Neuroscience (169 citations). Cavan Bennett has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include N. J. Mackintosh, Helen Kaye, Cédric Ghevaert, José A. Guerrero, Dominic M. Dwyer, Michael R. F. Aitken, Anthony R. Green, I.P.L. McLaren, Juan Li and Victoria L. Scahill. Their work appears in journals such as Blood, The Quarterly Journal of Experimental Psychology Section B, Nature Communications, Diabetes Obesity and Metabolism and Journal of Experimental Psychology Learning Memory and Cognition.

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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