Daniel J. Myall

841 total citations
37 papers, 577 citations indexed

About

Daniel J. Myall is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Daniel J. Myall has authored 37 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Neurology, 9 papers in Cognitive Neuroscience and 7 papers in Psychiatry and Mental health. Recurrent topics in Daniel J. Myall's work include Parkinson's Disease Mechanisms and Treatments (21 papers), Neurological disorders and treatments (11 papers) and Dementia and Cognitive Impairment Research (6 papers). Daniel J. Myall is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (21 papers), Neurological disorders and treatments (11 papers) and Dementia and Cognitive Impairment Research (6 papers). Daniel J. Myall collaborates with scholars based in New Zealand, United Kingdom and United States. Daniel J. Myall's co-authors include Tim Anderson, Michael R. MacAskill, John C. Dalrymple‐Alford, Toni L. Pitcher, Leslie Livingston, Tracy R. Melzer, Ross Keenan, Richard D. Jones, Campbell Le Heron and Richard Watts and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Daniel J. Myall

34 papers receiving 558 citations

Peers

Daniel J. Myall

NEURO

PHYSI

RNMI

PMH

Roberto De Marzi Austria

Ulrike Suenkel Germany

Tayyabah Yousaf United Kingdom

Shannon Chiu United States

Daniele Urso Italy

Ece Bayram United States

Ana Cámara Spain

Maríateresa Buongiorno Spain

Ute Hidding Germany

Michael Nocker Austria

Roberto De Marzi Austria

Daniel J. Myall

433 ×1.3

NEURO

99 ×0.7

99 ×0.9

PHYSI

77 ×0.8

RNMI

57 ×0.7

PMH

Citations per year, relative to Daniel J. Myall Daniel J. Myall (= 1×) peers Roberto De Marzi

Countries citing papers authored by Daniel J. Myall

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Myall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Myall. 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 Daniel J. Myall. The network helps show where Daniel J. Myall may publish in the future.

Co-authorship network of co-authors of Daniel J. Myall

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Myall. A scholar is included among the top collaborators of Daniel J. Myall 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 Daniel J. Myall. Daniel J. Myall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jack, Michael W., et al.. (2025). Estimating the seasonal variation in electricity demand of future electric vehicle fleets. Energy. 333. 137089–137089. 1 indexed citations

Heron, Campbell Le, Daniel J. Myall, Toni L. Pitcher, et al.. (2024). Early phase Amyloid‐PET reproduces metabolic signatures of cognitive decline in Parkinson's disease. Alzheimer s & Dementia. 20(S2). 1 indexed citations

Manohar, Sanjay, Christina M. Buchanan, Michael R. MacAskill, et al.. (2024). Disrupted Time Perception Underlies Motivational Disturbances in Huntington’s Disease. Timing & Time Perception. 1–24.

Melzer, Tracy R., et al.. (2024). Cholinergic Basal Forebrain Integrity and Cognition in Parkinson's Disease: A Reappraisal of Magnetic Resonance Imaging Evidence. Movement Disorders. 39(12). 2155–2172. 4 indexed citations

Livingston, Leslie, Daniel J. Myall, Toni L. Pitcher, et al.. (2024). Early‐phase amyloid PET reproduces metabolic signatures of cognitive decline in Parkinson's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(2). e12601–e12601. 3 indexed citations

Manohar, Sanjay, Christina M. Buchanan, Michael R. MacAskill, et al.. (2024). Decision cost hypersensitivity underlies Huntington’s disease apathy. Brain. 148(3). 861–874. 2 indexed citations

Buchanan, Christina M., Michael R. MacAskill, Daniel J. Myall, et al.. (2024). Apathy and Impulsivity Co‐Occur in Huntington's Disease. Brain and Behavior. 14(10). e70061–e70061. 3 indexed citations

MacAskill, Michael R., Toni L. Pitcher, Tracy R. Melzer, et al.. (2022). The New Zealand Parkinson's progression programme. Journal of the Royal Society of New Zealand. 53(4). 466–488. 6 indexed citations

Myall, Daniel J., Wayne Collecutt, Martin Krauß, et al.. (2022). Clinical outcomes of delayed mechanical thrombectomy: Descriptive analysis and development of a screening tool. European Journal of Neurology. 30(3). 671–677.

10.

MacAskill, Michael R., Daniel J. Myall, Leslie Livingston, et al.. (2021). Neuropsychiatric Symptoms Are Associated with Dementia in Parkinson's Disease but Not Predictive of it. Movement Disorders Clinical Practice. 8(3). 390–399. 10 indexed citations

11.

Melzer, Tracy R., Ross Keenan, Daniel J. Myall, et al.. (2019). Beta Amyloid Deposition Is Not Associated With Cognitive Impairment in Parkinson's Disease. Frontiers in Neurology. 10. 391–391. 53 indexed citations

12.

Kuijer, Roeline G., Leslie Livingston, Daniel J. Myall, et al.. (2017). Caregiver burden is increased in Parkinson’s disease with mild cognitive impairment (PD-MCI). Translational Neurodegeneration. 6(1). 17–17. 41 indexed citations

13.

Myall, Daniel J., Leslie Livingston, Tracy R. Melzer, et al.. (2016). Different PD-MCI criteria and risk of dementia in Parkinson’s disease: 4-year longitudinal study. npj Parkinson s Disease. 2(1). 15027–15027. 59 indexed citations

14.

MacAskill, Michael R., et al.. (2014). Comparison of cognitive and UHDRS measures in monitoring disease progression in Huntington’s disease: a 12-month longitudinal study. Translational Neurodegeneration. 3(1). 15–15. 11 indexed citations

15.

MacAskill, Michael R., Charlotte Graham, Toni L. Pitcher, et al.. (2012). The influence of motor and cognitive impairment upon visually-guided saccades in Parkinson's disease. Neuropsychologia. 50(14). 3338–3347. 58 indexed citations

16.

MacAskill, Michael R., et al.. (2011). A perceptual discrimination task abnormally facilitates reflexive saccades in Parkinson’s disease. European Journal of Neuroscience. 33(11). 2091–2100. 16 indexed citations

17.

Macrae, Phoebe, Daniel J. Myall, Richard D. Jones, & Maggie‐Lee Huckabee. (2011). Pharyngeal Pressures During Swallowing Within and Across Three Sessions: Within-Subject Variance and Order Effects. Dysphagia. 26(4). 385–391. 5 indexed citations

18.

Myall, Daniel J., Michael R. MacAskill, Tim Anderson, & Richard D. Jones. (2008). Submovements in visually-guided and memory-guided reaching tasks: Changes in Parkinson's disease. PubMed. 5. 1761–1764. 9 indexed citations

19.

Myall, Daniel J., Michael R. MacAskill, P.R. Davidson, Tim Anderson, & Richard D. Jones. (2008). Design of a modular and low-latency virtual-environment platform for applications in motor adaptation research, neurological disorders, and neurorehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 16(3). 298–309. 7 indexed citations

20.

Jones, Richard D., et al.. (2005). Fractal Dimension of the EEG for Detection of Behavioural Microsleeps. PubMed. 77. 5742–5745. 17 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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