Kate E. Hoy

9.8k citations
129 papers · 6.9k · h-index 49

Impact in

  • Neurology top 0.05%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments
    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

    • Transcranial Magnetic Stimulation Studies 91
    • Neurological disorders and treatments 11
    • Functional Brain Connectivity Studies 31
    • Neural and Behavioral Psychology Studies 26
    • EEG and Brain-Computer Interfaces 8
    • Neural dynamics and brain function 7

Kate E. Hoy

127 papers receiving 6.9k citations

Peers

Kate E. Hoy
Comparison fields: 5 of 106
  • Neurology 4.6k
  • Cognitive Neuroscience 3.2k
  • Psychiatry and Mental health 920
  • Anesthesiology and Pain Medicine 311
  • Neurology 546
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Citations per field
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Citations per year

Countries citing papers authored by Kate E. Hoy

Since Specialization
Citations

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

Fields of papers citing papers by Kate E. Hoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Hoy. 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 Kate E. Hoy. The network helps show where Kate E. Hoy may publish in the future.

Co-authors

The 25 scholars most cited alongside Kate E. Hoy, 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 Kate E. Hoy Line = papers co-authored together Kate E. Hoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010333
2 2015331
3 2009286
4 2006225
5 2016218
6 2013176
7 2013173
8 2014169
9 2011166
10 2011153
11 2009129
12 2004126
13 2012124
14 2016124
15 2008118
16 2017111
17 2008109
18 2015109
19 2017108
20 2014104

About Kate E. Hoy

Kate E. Hoy is a scholar working on Neurology, Cognitive Neuroscience, Psychiatry and Mental health, Neurology and Epidemiology, having authored 129 papers that have together received 6.9k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (91 papers), Functional Brain Connectivity Studies (31 papers), Neural and Behavioral Psychology Studies (26 papers), Neurological disorders and treatments (11 papers), Traumatic Brain Injury Research (10 papers), EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (7 papers) and Pain Management and Treatment (6 papers). The work is most often cited by research in Neurology (4.6k citations), Cognitive Neuroscience (3.2k citations), Psychiatry and Mental health (920 citations), Anesthesiology and Pain Medicine (311 citations) and Neurology (546 citations). Kate E. Hoy has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Paul B. Fitzgerald, Zafiris J. Daskalakis, Nigel C. Rogasch, Aron T. Hill, Sung Wook Chung, Jerome J. Maller, Rebecca Segrave, Neil W. Bailey, Sara L. Arnold and Susan McQueen. Their work appears in journals such as Brain stimulation, Journal of Affective Disorders, Psychiatry Research, Depression and Anxiety and Neuropsychologia.

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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