Simon J.G. Lewis

30.0k total citations
330 papers, 13.8k citations indexed

About

Simon J.G. Lewis is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Simon J.G. Lewis has authored 330 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 198 papers in Neurology, 148 papers in Cognitive Neuroscience and 68 papers in Psychiatry and Mental health. Recurrent topics in Simon J.G. Lewis's work include Parkinson's Disease Mechanisms and Treatments (181 papers), Neurological disorders and treatments (93 papers) and Sleep and Wakefulness Research (48 papers). Simon J.G. Lewis is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (181 papers), Neurological disorders and treatments (93 papers) and Sleep and Wakefulness Research (48 papers). Simon J.G. Lewis collaborates with scholars based in Australia, United States and United Kingdom. Simon J.G. Lewis's co-authors include Sharon L. Naismith, James M. Shine, Roger A. Barker, Trevor W. Robbins, Moran Gilat, Glenda M. Halliday, Claire O’Callaghan, Elie Matar, Ian B. Hickie and Kaylena A. Ehgoetz Martens and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Simon J.G. Lewis

320 papers receiving 13.6k citations

Peers

Simon J.G. Lewis
Glenn T. Stebbins United States
Marjan Jahanshahi United Kingdom
Anette Schrag United Kingdom
David J. Burn United Kingdom
Glenn T. Stebbins United States
Simon J.G. Lewis
Citations per year, relative to Simon J.G. Lewis Simon J.G. Lewis (= 1×) peers Glenn T. Stebbins

Countries citing papers authored by Simon J.G. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Simon J.G. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon J.G. Lewis. 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 Simon J.G. Lewis. The network helps show where Simon J.G. Lewis may publish in the future.

Co-authorship network of co-authors of Simon J.G. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Simon J.G. Lewis. A scholar is included among the top collaborators of Simon J.G. Lewis 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 Simon J.G. Lewis. Simon J.G. Lewis 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.
Medel, Vicente, et al.. (2025). Dopamine alters functional gradients in Parkinson’s disease. Imaging Neuroscience. 3.
2.
Fu, YuHong, Russell Pickford, Qi Cheng, et al.. (2025). Dysregulation of Monounsaturated Fatty Acids is Related to α‐Synuclein in Multiple System Atrophy. Movement Disorders. 40(9). 1940–1950. 1 indexed citations
3.
Allen, Natalie E., Colleen G. Canning, Catherine Sherrington, et al.. (2025). Feasibility of a Multidomain Intervention for Safe Mobility in People With Parkinson’s Disease and Recurrent Falls. Journal of Movement Disorders. 18(2). 149–159. 3 indexed citations
4.
Goldman, Jennifer G., Bradley F. Boeve, Douglas Galasko, et al.. (2025). Implications and opportunities regarding biological frameworks in overt and prodromal dementia with Lewy bodies. Alzheimer s & Dementia. 21(7). e70470–e70470. 1 indexed citations
5.
Galper, Jasmin, Giorgia Mori, Gordon McDonald, et al.. (2024). Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study. npj Parkinson s Disease. 10(1). 123–123. 5 indexed citations
6.
Müller, Eli J., Daniel S. Margulies, Jennifer Y. Y. Szeto, et al.. (2023). Abnormal higher-order network interactions in Parkinson’s disease visual hallucinations. Brain. 147(2). 458–471. 13 indexed citations
7.
Georgiades, Matthew, James M. Shine, Moran Gilat, et al.. (2023). Subthalamic Nucleus Activity during Cognitive Load and Gait Dysfunction in Parkinson's Disease. Movement Disorders. 38(8). 1549–1554. 5 indexed citations
8.
Hu, Kun, Shaohui Mei, Wei Wang, et al.. (2023). Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. IEEE Journal of Biomedical and Health Informatics. 27(8). 4166–4177. 7 indexed citations
9.
Knolle, Franziska, Shyam Sundar Arumugham, Roger A. Barker, et al.. (2023). A multicentre study on grey matter morphometric biomarkers for classifying early schizophrenia and parkinson’s disease psychosis. npj Parkinson s Disease. 9(1). 87–87. 4 indexed citations
10.
Noyce, Alastair J., Anna E. King, Sharon L. Naismith, et al.. (2023). Isolated rapid eye movement sleep behaviour disorder (iRBD) in the Island Study Linking Ageing and Neurodegenerative Disease (ISLAND) Sleep Study: protocol and baseline characteristics. Journal of Sleep Research. 33(3). e14109–e14109. 4 indexed citations
11.
ffytche, Dominic, Simon J.G. Lewis, Phil Hyu Lee, et al.. (2022). Mapping brain structural differences and neuroreceptor correlates in Parkinson’s disease visual hallucinations. Nature Communications. 13(1). 519–519. 22 indexed citations
12.
Hu, Kun, Zhiyong Wang, Kaylena A. Ehgoetz Martens, et al.. (2021). Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Transactions on Neural Networks and Learning Systems. 34(3). 1588–1600. 30 indexed citations
13.
Hall, Julie M., Claire O’Callaghan, Alana J. Muller, et al.. (2019). Changes in structural network topology correlate with severity of hallucinatory behavior in Parkinson’s disease. Network Neuroscience. 3(2). 521–538. 20 indexed citations
14.
Hu, Kun, Zhiyong Wang, Wei Wang, et al.. (2019). Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection. IEEE Transactions on Image Processing. 29. 1890–1901. 59 indexed citations
15.
Hu, Kun, Zhiyong Wang, Shaohui Mei, et al.. (2019). Vision-Based Freezing of Gait Detection With Anatomic Directed Graph Representation. IEEE Journal of Biomedical and Health Informatics. 24(4). 1215–1225. 65 indexed citations
16.
O’Callaghan, Claire & Simon J.G. Lewis. (2017). Cognition in Parkinson's Disease. International review of neurobiology. 133. 557–583. 61 indexed citations
17.
Mowszowski, Loren, James M. Shine, Moran Gilat, et al.. (2016). A double-blind randomized controlled trial of cognitive training for freezing of gait in Parkinson's disease. Movement Disorders. 31. 1 indexed citations
18.
Naismith, Sharon L., Louisa Norrie, Simon J.G. Lewis, et al.. (2009). Does sleep disturbance mediate neuropsychological functioning in older people with depression?. Journal of Affective Disorders. 116(1-2). 139–143. 48 indexed citations
19.
Clatworthy, Philip, Simon J.G. Lewis, Laurent Brichard, et al.. (2009). Dopamine Release in Dissociable Striatal Subregions Predicts the Different Effects of Oral Methylphenidate on Reversal Learning and Spatial Working Memory. Journal of Neuroscience. 29(15). 4690–4696. 183 indexed citations
20.
Wickens, Kristin, Penny Fitzharris, Robert Siebers, et al.. (1998). Cat allergen levels in public places in New Zealand.. PubMed. 111(1074). 356–8. 14 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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