Danielle Impey
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
Papers in
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- Neuroscience and Music Perception 8
- Neural dynamics and brain function 4
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- Nicotinic Acetylcholine Receptors Study 11
- Co-authors
- Verner Knott (21 shared papers)Sara de la Salle (14 shared papers)Joëlle Choueiry (14 shared papers)Dylan Smith (11 shared papers)Alain Labelle (5 shared papers)Tristan J Philippe (4 shared papers)Vadim Ilivitsky (6 shared papers)Derek J. Fisher (5 shared papers)
In The Last Decade
Danielle Impey
22 papers receiving 376 citations
Peers
Comparison fields: 5 of 60
- Neurology 90
- Cognitive Neuroscience 191
- Sensory Systems 43
- Applied Psychology 40
- Psychiatry and Mental health 64
Countries citing papers authored by Danielle Impey
This map shows the geographic impact of Danielle Impey'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 Danielle Impey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Impey more than expected).
Fields of papers citing papers by Danielle Impey
This network shows the impact of papers produced by Danielle Impey. 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 Danielle Impey. The network helps show where Danielle Impey may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Impey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 64 | |
| 2 | 2015 | 30 | |
| 3 | 2013 | 30 | |
| 4 | 2014 | 26 | |
| 5 | 2015 | 26 | |
| 6 | 2014 | 25 | |
| 7 | 2013 | 24 | |
| 8 | 2014 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2013 | 14 | |
| 14 | 2015 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2015 | 8 | |
| 17 | 2011 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2019 | 5 |
About Danielle Impey
Danielle Impey is a scholar working on Cognitive Neuroscience, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 22 papers that have together received 380 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (11 papers), Neuroscience and Music Perception (8 papers), Transcranial Magnetic Stimulation Studies (4 papers), Neural dynamics and brain function (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurological Disorders and Treatments (3 papers). The work is most often cited by research in Neurology (90 citations), Cognitive Neuroscience (191 citations), Sensory Systems (43 citations), Applied Psychology (40 citations) and Psychiatry and Mental health (64 citations). Danielle Impey has collaborated with scholars based in Canada and Spain. Frequent co-authors include Verner Knott, Sara de la Salle, Joëlle Choueiry, Dylan Smith, Alain Labelle, Tristan J Philippe, Vadim Ilivitsky, Derek J. Fisher, Allison Crawford and Branka Agic. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Journal of Psychopharmacology, Journal of Neural Transmission, JMIR Mental Health and Genes Brain & Behavior.
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.