Cath Smith

27 papers receiving 550 citations

Peers

Cath Smith
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 147
  • Emergency Medical Services 51
  • Hematology 70
  • Rehabilitation 36
  • Pharmacy 18
Replace Matthew Plow with:
Matthew Plow United States
Anthony L. Sparnon Australia
Megan C. Kirkland Canada
Takuya Sekiguchi Japan
C Steiner Switzerland
Mikael Thyberg Sweden
Max D. Miller United States
Cherie Wells Australia
J Bergström Sweden
Raymond Swinkels Netherlands
Cath Smith relative to Matthew Plow United States Matthew Plow's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cath Smith

Since Specialization
Citations

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

Fields of papers citing papers by Cath Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200670
2 201264
3 200852
4 201138
5 201236
6 201632
7 201428
8 201527
9 201227
10 201224
11 201420
12 201420
13 201319
14 201519
15 201317
16 201215
17 201612
18 20218
19 20147
20 20147

About Cath Smith

Cath Smith is a scholar working on Pathology and Forensic Medicine, Hematology, Cellular and Molecular Neuroscience, General Health Professions and Rehabilitation, having authored 28 papers that have together received 569 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Genetic Neurodegenerative Diseases (3 papers), Stroke Rehabilitation and Recovery (3 papers), Advanced Topics in Algebra (2 papers), Cardiac Health and Mental Health (2 papers), Advanced Operator Algebra Research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (147 citations), Emergency Medical Services (51 citations), Hematology (70 citations), Rehabilitation (36 citations) and Pharmacy (18 citations). Cath Smith has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Leigh Hale, Gareth J. Treharne, Hilda Mulligan, Anthony G. Schneiders, Kärin Olson, Steve Tumilty, Hemakumar Devan, David Baxter, Leica S. Claydon and Stanley John Winser. Their work appears in journals such as Disability and Rehabilitation, The Journal of Rehabilitation Research and Development, Physical Therapy Reviews, Journal of Neurologic Physical Therapy and Clinical Rehabilitation.

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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