Cath Smith

28 papers receiving 564 citations

Peers

Cath Smith
Comparison fields: 5 of 83
  • Pathology and Forensic Medicine 149
  • Emergency Medical Services 51
  • Hematology 71
  • Rehabilitation 38
  • Pharmacy 18
Replace Megan C. Kirkland with:
Megan C. Kirkland Canada
Takuya Sekiguchi Japan
C Steiner United States
Mikael Thyberg Sweden
Lesley Pritchard Canada
Marcella Ottonello Italy
Julie Mount United States
Peter Gilbey Israel
Danilo Masiero Brazil
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Cath Smith relative to Megan C. Kirkland Canada Megan C. Kirkland's profile →
Citations per field
00.5×5×10×12.7×
Megan C. Kirkland · 1×
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 200669
2 201265
3 200852
4 201138
5 201238
6 201632
7 201431
8 201228
9 201528
10 201224
11 201420
12 201520
13 201420
14 201320
15 201317
16 201215
17 201612
18 20218
19 20148
20 20147

About Cath Smith

Cath Smith is a scholar working on Pathology and Forensic Medicine, Rehabilitation, Hematology, Algebra and Number Theory and Emergency Medical Services, having authored 28 papers that have together received 579 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Stroke Rehabilitation and Recovery (4 papers), Genetic Neurodegenerative Diseases (3 papers), Advanced Operator Algebra Research (2 papers), Cardiac Health and Mental Health (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Advanced Topics in Algebra (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (149 citations), Emergency Medical Services (51 citations), Hematology (71 citations), Rehabilitation (38 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 Anne Hale, Gareth J. Treharne, Hilda F. Mulligan, Anthony Gerard Schneiders, Karin L. Olson, Steve Tumilty, Hemakumar Devan, Leica S. Claydon, David G. Baxter and Stanley John Winser. Their work appears in journals such as Disability and Rehabilitation, Physical Therapy Reviews, The Journal of Rehabilitation Research and Development, Physiotherapy Research International and Qualitative Health Research.

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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