Gail Grant

498 citations
7 papers · 361 · h-index 7

Impact in

    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments
    • Cardiac pacing and defibrillation studies
    • Atrial Fibrillation Management and Outcomes
    • ECG Monitoring and Analysis
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

Gail Grant

7 papers receiving 333 citations

Peers

Gail Grant
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 182
  • Rheumatology 72
  • Urology 15
  • Family Practice 4
  • Orthopedics and Sports Medicine 14
Replace Francesco Negri with:
Francesco Negri Italy
Gudrun Veldre Estonia
Tomoyuki Ishigo Japan
Campbell F. MacEachern United Kingdom
Jo Cumming United Kingdom
Katrin Esefeld Germany
Attila Szabo Sweden
Justine Barajas United States
Jacqueline Taylor United Kingdom
Peter M. Okin United States
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Citations per field
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Citations per year

Countries citing papers authored by Gail Grant

Since Specialization
Citations

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

Fields of papers citing papers by Gail Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Gail Grant, 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 Gail Grant Line = papers co-authored together Gail Grant links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1984103
2 201192
3 198555
4 198536
5 200132
6
Technical Manual and Dictionary of Classical Ballet
198127
7 200216

About Gail Grant

Gail Grant is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Rheumatology, Experimental and Cognitive Psychology and Spectroscopy, having authored 7 papers that have together received 361 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (1 paper), Text Readability and Simplification (1 paper), Analytical Chemistry and Chromatography (1 paper), Advanced Chemical Sensor Technologies (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Diversity and Impact of Dance (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (182 citations), Rheumatology (72 citations), Urology (15 citations), Family Practice (4 citations) and Orthopedics and Sports Medicine (14 citations). Gail Grant has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Brian A. McGovern, Hasan Garan, Stephen Hall, Jeremy N. Ruskin, T. Duncan Sellers, John Dimarco, Robert F. Malacoff, Jeremy N. Ruskin, Yuanyuan Wang and Marie Feletar. Their work appears in journals such as Journal of the American College of Cardiology, BMC Musculoskeletal Disorders, The Medical Journal of Australia, The American Journal of Cardiology and Journal of Pharmaceutical and Biomedical Analysis.

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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