David Maskill

1.0k citations
18 papers · 802 · h-index 11

Impact in

  • Neurology top 1%
    • Transcranial Magnetic Stimulation Studies
    • Vestibular and auditory disorders
    • Neurological disorders and treatments
    • Motor Control and Adaptation

Papers in

    • Transcranial Magnetic Stimulation Studies 12
    • Neurological disorders and treatments 2
    • Muscle activation and electromyography studies 9

David Maskill

16 papers receiving 779 citations

Peers

David Maskill
Comparison fields: 5 of 53
  • Neurology 529
  • Cognitive Neuroscience 287
  • Anesthesiology and Pain Medicine 65
  • Endocrine and Autonomic Systems 77
  • Rehabilitation 62
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Maria Catley United Kingdom
John Keel United States
Pascale Gérard Belgium
Giuseppe Cosentino Italy
Olle Lagerquist Canada
Elmar T. Peuker Germany
Yu. P. Gerasimenko Russia
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by David Maskill

Since Specialization
Citations

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

Fields of papers citing papers by David Maskill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Maskill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Maskill Line = papers co-authored together David Maskill links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1994201
2 1991129
3 1998128
4 199973
5 201258
6 199546
7 200741
8 199836
9 199625
10 199923
11 199818
12 19996
13 20095
14 19974
15
Recruitment of motoneurones by transcranial magnetic stimulation in spinal cord injury
19963
16
Assessment of muscle function: a clinical application.
19833
17 19952
18 19941

About David Maskill

David Maskill is a scholar working on Neurology, Biomedical Engineering, Cognitive Neuroscience, Pathology and Forensic Medicine and Pharmacology, having authored 18 papers that have together received 802 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (12 papers), Muscle activation and electromyography studies (9 papers), Motor Control and Adaptation (5 papers), Spinal Cord Injury Research (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Neurological disorders and treatments (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Medical Research and Practices (1 paper). The work is most often cited by research in Neurology (529 citations), Cognitive Neuroscience (287 citations), Anesthesiology and Pain Medicine (65 citations), Endocrine and Autonomic Systems (77 citations) and Rehabilitation (62 citations). David Maskill has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include P H Ellaway, N. J. Davey, Patricia Romaiguère, A. Guz, Kevin Murphy, Maureen Owen, S. Rawlinson, A. Mier, Gordana Savić and H L Frankel. Their work appears in journals such as The Journal of Physiology, Muscle & Nerve, British Journal of Occupational Therapy, Motor Control and Clinical Journal of Pain.

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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