Kyla Brown

24 papers receiving 1.0k citations

Peers

Kyla Brown
Comparison fields: 5 of 81
  • Rehabilitation 258
  • Cognitive Neuroscience 462
  • Occupational Therapy 69
  • Psychiatry and Mental health 156
  • Internal Medicine 30
Replace Janet P. Patterson with:
Janet P. Patterson United States
Michal Gostynski Switzerland
Peter Rumney Canada
Monica Blom Johansson Sweden
Natalie Ciccone Australia
Linda J. Laatsch United States
Becky Moss United Kingdom
Denyse A. Kersel New Zealand
Tracy L. Schooling United States
Mireille Donkervoort Netherlands
Kyla Brown relative to Janet P. Patterson United States Janet P. Patterson's profile →
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Citations per year

Countries citing papers authored by Kyla Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kyla Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2011127
3 2010100
4 201573
5 201369
6 201257
7 201654
8 201151
9 201247
10 200940
11 201338
12 201036
13 202136
14 201336
15 200632
16 201830
17
CanadianStrokeBestPracticeRecommendations: Hyperacute Stroke Care Guidelines, Update 2015
201519
18 202018
19 201216
20 202012

About Kyla Brown

Kyla Brown is a scholar working on Cognitive Neuroscience, Rehabilitation, Psychiatry and Mental health, General Health Professions and Internal Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (12 papers), Stroke Rehabilitation and Recovery (5 papers), Dementia and Cognitive Impairment Research (4 papers), Interpreting and Communication in Healthcare (3 papers), Acute Ischemic Stroke Management (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Rehabilitation (258 citations), Cognitive Neuroscience (462 citations), Occupational Therapy (69 citations), Psychiatry and Mental health (156 citations) and Internal Medicine (30 citations). Kyla Brown has collaborated with scholars based in Australia, New Zealand and Canada. Frequent co-authors include Linda E. Worrall, Tami Howe, Bronwyn Joy Davidson, Nina N. Simmons‐Mackie, John C. Connelly, Dina De Sousa, Henry T. Stelfox, Martha V. Koerner, Jim Selfridge and Shaun Webb. Their work appears in journals such as Aphasiology, International Journal of Speech-Language Pathology, International Journal of Stroke, Critical Care and BMJ Open.

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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