Angus D. Macleod

1.5k total citations
41 papers, 910 citations indexed

About

Angus D. Macleod is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Angus D. Macleod has authored 41 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Neurology, 7 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Angus D. Macleod's work include Parkinson's Disease Mechanisms and Treatments (32 papers), Neurological disorders and treatments (17 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). Angus D. Macleod is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (32 papers), Neurological disorders and treatments (17 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). Angus D. Macleod collaborates with scholars based in United Kingdom, Norway and Sweden. Angus D. Macleod's co-authors include Carl Counsell, Kate Taylor, Natalie Ives, Rebecca Stowe, Jodi Maple‐Grødem, Robert Caslake, Ole‐Bjørn Tysnes, Guido Alves, Neil Scott and Ingvild Dalen and has published in prestigious journals such as The Lancet, Brain and Neurology.

In The Last Decade

Angus D. Macleod

36 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angus D. Macleod United Kingdom 18 700 167 156 115 93 41 910
Sonja von Campenhausen Germany 13 811 1.2× 86 0.5× 127 0.8× 152 1.3× 99 1.1× 14 1.0k
Jacob Horsager Denmark 17 793 1.1× 208 1.2× 234 1.5× 95 0.8× 151 1.6× 34 1.1k
Matthias Löhle Germany 19 616 0.9× 129 0.8× 179 1.1× 68 0.6× 140 1.5× 44 1.0k
Katherine A. Grosset United Kingdom 22 1.2k 1.7× 197 1.2× 256 1.6× 132 1.1× 200 2.2× 32 1.5k
Hiroshi Nagayama Japan 18 441 0.6× 125 0.7× 173 1.1× 92 0.8× 47 0.5× 49 868
Renpei Sengoku Japan 17 600 0.9× 226 1.4× 206 1.3× 95 0.8× 58 0.6× 52 1.1k
Daniela Calandrella Italy 16 672 1.0× 63 0.4× 173 1.1× 134 1.2× 46 0.5× 36 830
Brandon Barton United States 8 662 0.9× 50 0.3× 231 1.5× 107 0.9× 111 1.2× 17 818
Adrienne M. Keener United States 13 366 0.5× 85 0.5× 80 0.5× 51 0.4× 61 0.7× 30 560
Charles Davie United Kingdom 4 354 0.5× 105 0.6× 164 1.1× 82 0.7× 56 0.6× 7 774

Countries citing papers authored by Angus D. Macleod

Since Specialization
Citations

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

Fields of papers citing papers by Angus D. Macleod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus D. Macleod. 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 Angus D. Macleod. The network helps show where Angus D. Macleod may publish in the future.

Co-authorship network of co-authors of Angus D. Macleod

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

All Works

20 of 20 papers shown
1.
Dalen, Ingvild, Rachael A. Lawson, Alison J. Yarnall, et al.. (2025). Dementia risk prediction in early Parkinson's disease: Validation and genetic integration of the Montreal Parkinson risk of dementia scale (MoPaRDS). Journal of Parkinson s Disease. 15(4). 868–878.
2.
McLernon, David J., et al.. (2025). Systematic review of prognostic models in Parkinson’s disease. npj Parkinson s Disease. 11(1). 266–266.
3.
Macfarlane, Jennifer A., et al.. (2024). Impaired value-based decision-making in Parkinson’s disease apathy. Brain. 147(4). 1362–1376. 7 indexed citations
4.
McLernon, David J., et al.. (2023). Incidence and risk factors of institutionalisation in Parkinson's disease and atypical parkinsonism. Parkinsonism & Related Disorders. 118. 105928–105928. 2 indexed citations
5.
6.
Counsell, Carl, et al.. (2022). The incidence, baseline predictors, and outcomes of dementia in an incident cohort of Parkinson’s disease and controls. Journal of Neurology. 269(8). 4288–4298. 7 indexed citations
7.
Dalen, Ingvild, Kenn Freddy Pedersen, Marta Camacho, et al.. (2022). GBA and APOE Impact Cognitive Decline in Parkinson's Disease: A 10‐Year Population‐Based Study. Movement Disorders. 37(5). 1016–1027. 71 indexed citations
8.
Maple‐Grødem, Jodi, Kimberly C. Paul, Ingvild Dalen, et al.. (2021). Lack of Association Between GBA Mutations and Motor Complications in European and American Parkinson's Disease Cohorts. Duo Research Archive (University of Oslo). 5 indexed citations
9.
Ushakova, Anastasia, Lars Forsgren, Ole‐Bjørn Tysnes, et al.. (2021). Association of SNCA Parkinson's Disease Risk Polymorphisms With Disease Progression in Newly Diagnosed Patients. Frontiers in Neurology. 11. 620585–620585. 8 indexed citations
10.
Lange, Johannes, et al.. (2021). A systematic review of associations between common SNCA variants and clinical heterogeneity in Parkinson’s disease. npj Parkinson s Disease. 7(1). 54–54. 23 indexed citations
11.
Sleeman, Isobel, et al.. (2021). First delirium episode in Parkinson’s disease and parkinsonism: incidence, predictors, and outcomes. npj Parkinson s Disease. 7(1). 92–92. 9 indexed citations
12.
Camacho, Marta, Angus D. Macleod, Jodi Maple‐Grødem, et al.. (2021). Early constipation predicts faster dementia onset in Parkinson’s disease. npj Parkinson s Disease. 7(1). 45–45. 41 indexed citations
13.
Duncan, Callum W. & Angus D. Macleod. (2020). Video consultations in ordinary and extraordinary times. Practical Neurology. 20(5). 396–403. 14 indexed citations
14.
Macleod, Angus D., et al.. (2018). Age-related selection bias in Parkinson's disease research: are we recruiting the right participants?. Parkinsonism & Related Disorders. 55. 128–133. 29 indexed citations
15.
Macleod, Angus D., et al.. (2016). Co-morbidity burden in Parkinson’s disease: Comparison with controls and its influence on prognosis. Parkinsonism & Related Disorders. 28. 124–129. 19 indexed citations
16.
Fielding, Shona, Angus D. Macleod, & Carl Counsell. (2016). Medium-term prognosis of an incident cohort of parkinsonian patients compared to controls. Parkinsonism & Related Disorders. 32. 36–41. 19 indexed citations
17.
Macleod, Angus D., et al.. (2015). A systematic review of loss of independence in Parkinson’s disease. Journal of Neurology. 263(1). 1–10. 31 indexed citations
18.
Macleod, Angus D. & Carl Counsell. (2010). Timed tests of motor function in Parkinson’s disease. Parkinsonism & Related Disorders. 16(7). 442–446. 19 indexed citations
19.
Ives, Natalie, Rebecca Stowe, Joanna Marro, et al.. (2004). Monoamine oxidase type B inhibitors in early Parkinson's disease: meta-analysis of 17 randomised trials involving 3525 patients. BMJ. 329(7466). 593–593. 95 indexed citations
20.
Macleod, Angus D., Henry C Kitchener, David E. Parkin, et al.. (1994). Cervical carcinoma in the Grampian region (1980–1991): a population‐based study of survival and cervical cytology history. BJOG An International Journal of Obstetrics & Gynaecology. 101(9). 797–803. 5 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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