Jon Scott

1.3k citations
60 papers · 872 · h-index 17

Impact in

Papers in

Jon Scott

57 papers receiving 804 citations

Peers

Jon Scott
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 212
  • Neurology 64
  • Health Informatics 10
  • Cognitive Neuroscience 138
  • Education 199
Replace Stefano Sandrone with:
Stefano Sandrone United Kingdom
Matthew S. Cain United States
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Michael Lindemann Switzerland
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Rick O. Gilmore United States
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Citations per field
00.5×3.3×
Stefano Sandrone · 1×
Citations per year

Countries citing papers authored by Jon Scott

Since Specialization
Citations

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

Fields of papers citing papers by Jon Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon Scott, 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 Jon Scott Line = papers co-authored together Jon Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The number and distribution of muscle spindles and tendon organs in the peroneal muscles of the cat.
198788
2 198563
3 201455
4 198540
5 198630
6 200428
7 200828
8 201428
9
Gender Differences in Major Federal External Grant Programs
200525
10 201024
11 200722
12 199022
13 199122
14 200519
15 199519
16 199119
17
Beta innervation and recurrent inhibition: a hypothesis for manipulatory and postural control.
199617
18 200816
19 201915
20 199515

About Jon Scott

Jon Scott is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Education, Molecular Biology and Physiology, having authored 60 papers that have together received 872 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Nerve injury and regeneration (8 papers), Evaluation of Teaching Practices (8 papers), Pain Mechanisms and Treatments (6 papers), Neuroscience and Neural Engineering (6 papers), Transcranial Magnetic Stimulation Studies (5 papers), Higher Education Practises and Engagement (5 papers) and Tendon Structure and Treatment (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Neurology (64 citations), Health Informatics (10 citations), Cognitive Neuroscience (138 citations) and Education (199 citations). Jon Scott has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Heather M. Young, Johann Petit, David J. Barker, Michael Stacey, Alan J. Cann, L. Jami, Mark Rawlinson, Robert I. Norman, M. Illert and H. Kümmel. Their work appears in journals such as Brain Research, The Journal of Physiology, Journal of Biological Education, Simulation Modelling Practice and Theory and Experimental Neurology.

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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