Steven Passmore

49 papers receiving 751 citations

Peers

Steven Passmore
Comparison fields: 5 of 70
  • Pharmacology 490
  • Medical Terminology 7
  • Medical Laboratory Technology 22
  • Pathology and Forensic Medicine 212
  • Cognitive Neuroscience 156
Replace Barry Kim Humphreys with:
Barry Kim Humphreys Switzerland
Astrid Woodhouse Norway
Martha Funabashi Canada
Leandro Alberto Calazans Nogueira Brazil
Greg Kawchuk Canada
Silvano Ferrari Italy
Inge Ris Denmark
Naiane Teixeira Bastos de Oliveira Brazil
Scott D. Tagliaferri Australia
Þorvaldur Skúli Pálsson Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Steven Passmore

Since Specialization
Citations

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

Fields of papers citing papers by Steven Passmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016130
2 2016122
3 201890
4 200934
5 201233
6
The origin, and application of somatosensory evoked potentials as a neurophysiological technique to investigate neuroplasticity.
201428
7 200823
8 201723
9 201022
10 201021
11 201521
12 201719
13 200818
14 201916
15
Initial integration of chiropractic services into a provincially funded inner city community health centre: a program description.
201513
16 201211
17 200711
18 201910
19 20099
20 20159

About Steven Passmore

Steven Passmore is a scholar working on Pharmacology, Cognitive Neuroscience, Pathology and Forensic Medicine, Rehabilitation and General Health Professions, having authored 56 papers that have together received 770 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (31 papers), Motor Control and Adaptation (18 papers), Spine and Intervertebral Disc Pathology (15 papers), Stroke Rehabilitation and Recovery (7 papers), Sport Psychology and Performance (5 papers), Muscle activation and electromyography studies (5 papers), Balance, Gait, and Falls Prevention (4 papers) and Pain Management and Placebo Effect (4 papers). The work is most often cited by research in Pharmacology (490 citations), Medical Terminology (7 citations), Medical Laboratory Technology (22 citations), Pathology and Forensic Medicine (212 citations) and Cognitive Neuroscience (156 citations). Steven Passmore has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Andrew Dunn, Martin Descarreaux, John Srbely, André Bussières, Emma Irvin, Gregory W. Stewart, Sheilah Hogg‐Johnson, Isabelle Pagé, Bernadette Murphy and Jeanmarie R. Burke. Their work appears in journals such as Journal of Manipulative and Physiological Therapeutics, Journal of Motor Behavior, Chiropractic & Manual Therapies, Human Movement Science and Spine.

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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