Jayne Ramshaw

500 citations
12 papers · 343 · h-index 8

Impact in

Papers in

Jayne Ramshaw

12 papers receiving 334 citations

Peers

Jayne Ramshaw
Comparison fields: 5 of 50
  • Otorhinolaryngology 45
  • Reproductive Medicine 82
  • Radiology, Nuclear Medicine and Imaging 152
  • Obstetrics and Gynecology 50
  • Oncology 86
Replace N. Howard with:
N. Howard United Kingdom
Tadashi Takenaka Japan
Caroline L. Holloway Canada
A. Palomar Muñoz Spain
Pierre Annède France
J.P. Jacquin France
N.K. Shukla India
Thelma D. Bates United Kingdom
Amanda L. Kansler United States
Gloria A DiLullo United States
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Citations per field
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Citations per year

Countries citing papers authored by Jayne Ramshaw

Since Specialization
Citations

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

Fields of papers citing papers by Jayne Ramshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200985
2 200865
3 200860
4 200859
5 200828
6 198113
7 19759
8 19747
9 19816
10 19846
11
Australia and New Zealand pacemaker survey, 1972.
19743
12 20072

About Jayne Ramshaw

Jayne Ramshaw is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Otorhinolaryngology, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiac Health and Mental Health (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cardiac pacing and defibrillation studies (2 papers), Esophageal Cancer Research and Treatment (2 papers), Colorectal Cancer Surgical Treatments (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Otorhinolaryngology (45 citations), Reproductive Medicine (82 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Obstetrics and Gynecology (50 citations) and Oncology (86 citations). Jayne Ramshaw has collaborated with scholars based in Australia and Philippines. Frequent co-authors include Andrew M. Scott, Dishan H. Gunawardana, Michael Fulham, Rodney J. Hicks, Jonathan Carter, Dylan Bartholomeusz, Peter Lin, Gordon Stanley, Ivan Ho Shon and John Stuckey. Their work appears in journals such as Journal of Nuclear Medicine, The Medical Journal of Australia, European Journal of Nuclear Medicine and Molecular Imaging, British Journal of Clinical Psychology and Journal of Clinical Oncology.

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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