Ashleigh E. Smith

3.2k total citations · 2 hit papers
85 papers, 2.0k citations indexed

About

Ashleigh E. Smith is a scholar working on Physiology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Ashleigh E. Smith has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 16 papers in Cognitive Neuroscience and 16 papers in Neurology. Recurrent topics in Ashleigh E. Smith's work include Transcranial Magnetic Stimulation Studies (16 papers), Physical Activity and Health (14 papers) and Muscle activation and electromyography studies (8 papers). Ashleigh E. Smith is often cited by papers focused on Transcranial Magnetic Stimulation Studies (16 papers), Physical Activity and Health (14 papers) and Muscle activation and electromyography studies (8 papers). Ashleigh E. Smith collaborates with scholars based in Australia, United Kingdom and United States. Ashleigh E. Smith's co-authors include Maddison L. Mellow, Michael C. Ridding, Mitchell R. Goldsworthy, Hannah A. D. Keage, Gaynor Parfitt, Michelle N. McDonnell, Julia B. Pitcher, Shylie Mackintosh, Danielle Greaves and Amit Lampit and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ashleigh E. Smith

81 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combined physical and cognitive training for older adults with and without cognitive impairment: A systematic review and network meta-analysis of randomized controlled trials

2020 218 citations Maddison L. Mellow, Alexandra Wade et al. profile →
Effectiveness of exercise for improving cognition, memory and executive function: a systematic umbrella review and meta-meta-analysis

2025 16 citations Ben Singh, Aaron Miatke et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ashleigh E. Smith	415	355	312	306	303	85	2.0k
Jens D. Rollnik	670 1.6×	706 2.0×	399 1.3×	605 2.0×	86 0.3×	132	3.0k
Alex Bahar‐Fuchs	334 0.8×	212 0.6×	287 0.9×	1.1k 3.5×	147 0.5×	53	2.1k
Ben Rattray	278 0.7×	91 0.3×	720 2.3×	400 1.3×	453 1.5×	72	3.1k
Chun Liang Hsu	342 0.8×	130 0.4×	382 1.2×	719 2.3×	203 0.7×	67	1.8k
Fabian Herold	764 1.8×	133 0.4×	469 1.5×	459 1.5×	571 1.9×	120	2.9k
Loren Mowszowski	750 1.8×	159 0.4×	214 0.7×	1.1k 3.5×	188 0.6×	75	2.3k
Benzi M. Kluger	661 1.6×	463 1.3×	276 0.9×	1.1k 3.6×	158 0.5×	190	5.0k
Marsha J. Polk	1000 2.4×	245 0.7×	278 0.9×	1.3k 4.3×	166 0.5×	32	2.6k
Johann Lehrner	431 1.0×	236 0.7×	214 0.7×	671 2.2×	98 0.3×	93	2.6k
Richel Lousberg	476 1.1×	100 0.3×	377 1.2×	708 2.3×	238 0.8×	61	2.6k

Countries citing papers authored by Ashleigh E. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Ashleigh E. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashleigh E. Smith. 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 Ashleigh E. Smith. The network helps show where Ashleigh E. Smith may publish in the future.

Co-authorship network of co-authors of Ashleigh E. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Ashleigh E. Smith. A scholar is included among the top collaborators of Ashleigh E. Smith 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 Ashleigh E. Smith. Ashleigh E. Smith 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

Goldsworthy, Mitchell R., et al.. (2025). Scoping review: The effects of diet, physical activity and sleep on motor and physical fatigue in people with multiple sclerosis. Neuroscience. 568. 166–194. 1 indexed citations

Mellow, Maddison L., Henry T Blake, Ty Ferguson, et al.. (2025). ‘ Small Steps’ towards improving 24-hour time-use behaviours to decrease the risk of dementia: protocol for a personalised, web-based randomised controlled trial in community-dwelling older adults. BMJ Open. 15(11). e105643–e105643.

Mellow, Maddison L., Dorothea Dumuid, Alexandra Wade, et al.. (2024). Should We Work Smarter or Harder for Our Health? A Comparison of Intensity and Domain-Based Time-Use Compositions and Their Associations With Cognitive and Cardiometabolic Health. The Journals of Gerontology Series A. 79(11). 4 indexed citations

Martin, Casey, Betsy Blunk, Aravind Ramakrishnan, et al.. (2024). Comparison of 15- Vs. 30-Day Remote Patient Monitoring for Outpatient Chimeric Antigen Receptor T-Cell Therapy (CAR-T) across a Large Health System. Blood. 144(Supplement 1). 2300–2300. 1 indexed citations

Sewell, Kelsey R., Maddison L. Mellow, Ryan S. Falck, et al.. (2024). A Compensatory Role of Physical Activity in the Association Between Sleep and Cognition. Exercise and Sport Sciences Reviews. 52(4). 145–151. 8 indexed citations

Wade, Alexandra, Ty Stanford, Maddison L. Mellow, et al.. (2024). The Relationship Between Dietary Patterns, Cognition, and Cardiometabolic Health in Healthy, Older Adults. Nutrients. 16(22). 3890–3890.

Mellow, Maddison L., et al.. (2024). Age-related changes in responsiveness to non-invasive brain stimulation neuroplasticity paradigms: A systematic review with meta-analysis. Clinical Neurophysiology. 162. 53–67. 3 indexed citations

Mellow, Maddison L., Dorothea Dumuid, Tim Olds, et al.. (2024). Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults. International Journal of Behavioral Nutrition and Physical Activity. 21(1). 11–11. 10 indexed citations

Singh, Ben, et al.. (2024). Time to Form a Habit: A Systematic Review and Meta-Analysis of Health Behaviour Habit Formation and Its Determinants. Healthcare. 12(23). 2488–2488. 5 indexed citations

10.

Miatke, Aaron, Tim Olds, Carol Maher, et al.. (2023). The association between reallocations of time and health using compositional data analysis: a systematic scoping review with an interactive data exploration interface. International Journal of Behavioral Nutrition and Physical Activity. 20(1). 127–127. 30 indexed citations

11.

Smith, Ashleigh E., et al.. (2023). What I see and what I feel: the influence of deceptive visual cues and interoceptive accuracy on affective valence and sense of effort during virtual reality cycling. PeerJ. 11. e16095–e16095. 4 indexed citations

12.

Lii, Theresa R., Ashleigh E. Smith, Robin L. Okada, et al.. (2023). Randomized trial of ketamine masked by surgical anesthesia in patients with depression. Nature Mental Health. 1(11). 876–886. 49 indexed citations

13.

Skaczkowski, Gemma, Melissa J. Hull, Ashleigh E. Smith, et al.. (2023). Understanding farmers’ barriers to health and mental health‐related help‐seeking: The development, factor structure, and reliability of the Farmer Help‐Seeking Scale. The Journal of Rural Health. 40(1). 64–74. 11 indexed citations

14.

Greaves, Danielle, Peter J. Psaltis, Amit Lampit, et al.. (2023). The effects of computerised cognitive training on post-CABG delirium and cognitive change: A prospective randomised controlled trial. PubMed. 1. 67976–67976. 8 indexed citations

15.

Smith, Ashleigh E., Anson C.M. Chau, Danielle Greaves, Hannah A. D. Keage, & Daniel Feuerriegel. (2023). Resting EEG power spectra across middle to late life: associations with age, cognition, APOE-ɛ4 carriage, and cardiometabolic burden. Neurobiology of Aging. 130. 93–102. 11 indexed citations

16.

Mellow, Maddison L., Dorothea Dumuid, Alexandra Wade, et al.. (2022). Twenty-four-hour time-use composition and cognitive function in older adults: cross-sectional findings of the ACTIVate study. Frontiers in Human Neuroscience. 16. 1051793–1051793. 10 indexed citations

17.

Smith, Ashleigh E., et al.. (2018). Associations of physical activity and sedentary behaviour with metabolic syndrome in rural Australian adults. Journal of science and medicine in sport. 21(12). 1232–1237. 12 indexed citations

18.

Smith, Ashleigh E., et al.. (2017). Cross-sectional associations between metabolic syndrome and performance across cognitive domains: A systematic review. Applied Neuropsychology Adult. 26(2). 186–199. 23 indexed citations

19.

McDonnell, Michelle N., Janet Bryan, Ashleigh E. Smith, & Adrian Esterman. (2011). Assessing cognitive impairment following stroke. Journal of Clinical and Experimental Neuropsychology. 33(9). 945–953. 16 indexed citations

20.

McDonnell, Michelle N., Ashleigh E. Smith, & Shylie Mackintosh. (2011). Aerobic Exercise to Improve Cognitive Function in Adults With Neurological Disorders: A Systematic Review. Archives of Physical Medicine and Rehabilitation. 92(7). 1044–1052. 109 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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