Fiona E. Smith

2.5k citations
54 papers · 1.0k · h-index 20

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 7
    • ECG Monitoring and Analysis 7
    • Heart Rate Variability and Autonomic Control 5
    • Blood Pressure and Hypertension Studies 3
    • Adipose Tissue and Metabolism 7

Fiona E. Smith

53 papers receiving 1.0k citations

Peers

Fiona E. Smith
Comparison fields: 5 of 103
  • Cell Biology 155
  • Cardiology and Cardiovascular Medicine 182
  • Rehabilitation 50
  • Physiology 179
  • Endocrinology, Diabetes and Metabolism 107
Replace John S. Videen with:
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Citations per field
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Citations per year

Countries citing papers authored by Fiona E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Fiona E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015104
2
Identification of gene expression profiles that segregate patients with childhood leukemia.
200271
3 201571
4 201468
5 201644
6 200843
7 201042
8 200938
9 201337
10 201536
11 200335
12 201330
13 201530
14 200229
15 200729
16 200628
17 201322
18 201321
19 200221
20 201320

About Fiona E. Smith

Fiona E. Smith is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Atomic and Molecular Physics, and Optics, Cell Biology and Molecular Biology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Adipose Tissue and Metabolism (7 papers), ECG Monitoring and Analysis (7 papers), Heart Rate Variability and Autonomic Control (5 papers), Atomic and Subatomic Physics Research (5 papers), Advanced MRI Techniques and Applications (5 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Cell Biology (155 citations), Cardiology and Cardiovascular Medicine (182 citations), Rehabilitation (50 citations), Physiology (179 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Fiona E. Smith has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Roy Taylor, Peter E. Thelwall, Andrew M. Blamire, Alan Murray, Kieren G. Hollingsworth, Michael I. Trenell, Emma Stevenson, Philip Langley, Iain D. Croall and Stephan Mieke. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Blood Pressure Monitoring, Neuromuscular Disorders, Pacing and Clinical Electrophysiology and Journal of Hepatology.

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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