Julia MacKinley

517 total citations
9 papers, 390 citations indexed

About

Julia MacKinley is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Julia MacKinley has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 3 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Julia MacKinley's work include Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Julia MacKinley is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Julia MacKinley collaborates with scholars based in Canada, United States and Australia. Julia MacKinley's co-authors include Elizabeth Finger, Paul Frewen, Kristy Coleman, Stephen Pasternak, Isabel Dziobek, Katherine P. Rankin, Lindsay D. Oliver, Derek Mitchell, Andrew J. Wrath and Sarah Jesso and has published in prestigious journals such as Neurology, Neuropsychologia and Journal of Neurology.

In The Last Decade

Julia MacKinley

9 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia MacKinley Canada 9 148 110 101 92 79 9 390
Cecilia Prunas Italy 14 138 0.9× 46 0.4× 219 2.2× 87 0.9× 101 1.3× 24 494
Monika Mak Poland 15 109 0.7× 49 0.4× 248 2.5× 85 0.9× 132 1.7× 58 638
Maren Bodden Germany 7 182 1.2× 50 0.5× 86 0.9× 54 0.6× 231 2.9× 7 452
J H Friedman United States 7 252 1.7× 34 0.3× 243 2.4× 113 1.2× 116 1.5× 8 614
Baber K. Khan United States 6 288 1.9× 249 2.3× 286 2.8× 32 0.3× 85 1.1× 8 587
Matthew T. Avila United States 16 43 0.3× 62 0.6× 289 2.9× 77 0.8× 203 2.6× 23 683
Paulina González-Latapí United States 14 358 2.4× 60 0.5× 61 0.6× 44 0.5× 80 1.0× 31 552
Reid Robison United States 16 66 0.4× 48 0.4× 319 3.2× 203 2.2× 249 3.2× 37 811
Jay Joseph United States 10 42 0.3× 55 0.5× 58 0.6× 52 0.6× 90 1.1× 26 420
Guadalupe Dávila Spain 13 43 0.3× 42 0.4× 71 0.7× 50 0.5× 370 4.7× 45 584

Countries citing papers authored by Julia MacKinley

Since Specialization
Citations

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

Fields of papers citing papers by Julia MacKinley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia MacKinley

This figure shows the co-authorship network connecting the top 25 collaborators of Julia MacKinley. A scholar is included among the top collaborators of Julia MacKinley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia MacKinley. Julia MacKinley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gill, Sascha, Mervin Blair, Sarah Jesso, et al.. (2019). Financial capacity in frontotemporal dementia and related presentations. Journal of Neurology. 266(7). 1698–1707. 8 indexed citations
2.
Silveira, Carolina R. A., Julia MacKinley, Kristy Coleman, et al.. (2019). Ambroxol as a novel disease-modifying treatment for Parkinson’s disease dementia: protocol for a single-centre, randomized, double-blind, placebo-controlled trial. BMC Neurology. 19(1). 20–20. 102 indexed citations
3.
Coleman, Kristy, Brenda L. Coleman, Julia MacKinley, Stephen Pasternak, & Elizabeth Finger. (2017). Association between Montreal Cognitive Assessment Sub-Item Scores and Corresponding Cognitive Test Performance in Patients with Frontotemporal Dementia and Related Disorders. Dementia and Geriatric Cognitive Disorders. 43(3-4). 170–179. 10 indexed citations
4.
Coleman, Kristy, Brenda L. Coleman, Julia MacKinley, Stephen Pasternak, & Elizabeth Finger. (2015). Detection and Differentiation of Frontotemporal Dementia and Related Disorders From Alzheimer Disease Using the Montreal Cognitive Assessment. Alzheimer Disease & Associated Disorders. 30(3). 258–263. 15 indexed citations
5.
Finger, Elizabeth, Julia MacKinley, Mervin Blair, et al.. (2014). Oxytocin for frontotemporal dementia. Neurology. 84(2). 174–181. 74 indexed citations
6.
Oliver, Lindsay D., Derek Mitchell, Isabel Dziobek, et al.. (2014). Parsing cognitive and emotional empathy deficits for negative and positive stimuli in frontotemporal dementia. Neuropsychologia. 67. 14–26. 51 indexed citations
7.
Kertesz, Andrew, Lee Cyn Ang, Sarah Jesso, et al.. (2013). Psychosis and Hallucinations in Frontotemporal Dementia with the C9ORF72 Mutation. Cognitive and Behavioral Neurology. 26(3). 146–154. 55 indexed citations
8.
Frewen, Paul, et al.. (2012). Meditation Breath Attention Scores (MBAS): Test–Retest Reliability and Sensitivity to Repeated Practice. Mindfulness. 5(2). 161–169. 29 indexed citations

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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