Heather Smith

756 citations
12 papers · 589 · h-index 8

Impact in

    • Exercise and Physiological Responses
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging

Papers in

Heather Smith

12 papers receiving 580 citations

Peers

Heather Smith
Comparison fields: 5 of 81
  • Rehabilitation 63
  • Physiology 161
  • Cell Biology 104
  • Aging 9
  • Health Informatics 6
Replace Ornella Cappellari with:
Ornella Cappellari Italy
Jon‐Philippe K. Hyatt United States
William Roman Portugal
Liane Fairfull United States
V. Decostre France
Jeffrey S. Otis United States
Adel Amirouche France
Sonia Karaz Switzerland
Dittmar Labeit Germany
Mona Lindström Sweden
Heather Smith relative to Ornella Cappellari Italy Ornella Cappellari's profile →
Citations per field
00.5×1.5×1.8×
Ornella Cappellari · 1×
Citations per year

Countries citing papers authored by Heather Smith

Since Specialization
Citations

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

Fields of papers citing papers by Heather Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Heather 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 Heather Smith Line = papers co-authored together Heather Smith links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006371
2 201978
3 195349
4 199534
5 201417
6 199114
7 202012
8 20217
9 20214
10 20221
11 20241
12 20211

About Heather Smith

Heather Smith is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 589 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Balance, Gait, and Falls Prevention (2 papers), Cardiovascular Function and Risk Factors (2 papers), Muscle activation and electromyography studies (2 papers), Stroke Rehabilitation and Recovery (2 papers), Sports Performance and Training (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Ocular Infections and Treatments (1 paper). The work is most often cited by research in Rehabilitation (63 citations), Physiology (161 citations), Cell Biology (104 citations), Aging (9 citations) and Health Informatics (6 citations). Heather Smith has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Craig McFarlane, Alex Hennebry, Ravi Kambadur, Erin Plummer, Mridula Sharma, Nicholas Ling, Mark Thomas, M. G. Ashby, Matús Straka and Seena Dehkharghani. Their work appears in journals such as Computers in Biology and Medicine, Prosthetics and Orthotics International, Sports Biomechanics, Stroke and Journal of Cellular Physiology.

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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