Cavan Bennett

1.2k citations
32 papers · 835 · h-index 18

Impact in

Papers in

    • Kruppel-like factors research 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
    • Hemoglobinopathies and Related Disorders 3

Cavan Bennett

29 papers receiving 815 citations

Peers

Cavan Bennett
Comparison fields: 5 of 90
  • Sensory Systems 134
  • Hematology 215
  • Genetics 179
  • Cognitive Neuroscience 325
  • Cellular and Molecular Neuroscience 164
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Lucia Galli Italy
Katherina Walz United States
Yihe Guo United States
Judith P. Willner United States
Patrick D. Gamp United States
Katrin Õunap Estonia
Mary Z. Pelias United States
Prabhakar Vissavajjhala United States
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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 201397
2
Perceptual learning in flavour aversion conditioning.
199176
3 201462
4 201760
5 201843
6 199543
7 201242
8 199941
9 200140
10 201539
11 199934
12 201033
13
Latent inhibition, context specificity, and context familiarity.
199430
14 199426
15 200825
16 199520
17 202319
18 200019
19 199617
20 199415

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 835 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 (134 citations), Hematology (215 citations), Genetics (179 citations), Cognitive Neuroscience (325 citations) and Cellular and Molecular Neuroscience (164 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, Anthony R. Green, Juan Li, I.P.L. McLaren, Michael R. F. Aitken 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 International Journal of Gynecology & Obstetrics.

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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