Stephen J. Gandy

2.4k citations
56 papers · 1.7k · h-index 20

Impact in

Papers in

Stephen J. Gandy

54 papers receiving 1.7k citations

Peers

Stephen J. Gandy
Comparison fields: 5 of 89
  • Nephrology 287
  • Cardiology and Cardiovascular Medicine 490
  • Endocrinology, Diabetes and Metabolism 285
  • Rheumatology 210
  • Radiology, Nuclear Medicine and Imaging 216
Replace Nicola C. Edwards with:
Nicola C. Edwards United Kingdom
Roger Rennenberg Netherlands
Nicola Cosentino Italy
Atiye Çengel Türkiye
Vikas Veeranna United States
Hakan Güllü Türkiye
Colin D. Chue United Kingdom
Thomas Stefenelli Austria
Nihat Şen Türkiye
Tracey Steedman United Kingdom
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Citations per field
00.5×3.6×
Nicola C. Edwards · 1×
Citations per year

Countries citing papers authored by Stephen J. Gandy

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Gandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Gandy. 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 Stephen J. Gandy. The network helps show where Stephen J. Gandy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011175
2 2020161
3 2019122
4 2013120
5 2020116
6 2000101
7 200288
8 201388
9 201681
10 201452
11 200649
12 200447
13 200338
14 200834
15 200332
16 201829
17 200726
18 200926
19 201724
20 200522

About Stephen J. Gandy

Stephen J. Gandy is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Health and Disease Prevention (5 papers), Cardiovascular Function and Risk Factors (5 papers), Advanced MRI Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Nephrology (287 citations), Cardiology and Cardiovascular Medicine (490 citations), Endocrinology, Diabetes and Metabolism (285 citations), Rheumatology (210 citations) and Radiology, Nuclear Medicine and Imaging (216 citations). Stephen J. Gandy has collaborated with scholars based in United Kingdom, Canada and Sweden. Frequent co-authors include J. Graeme Houston, Allan D. Struthers, Chim C. Lang, M. Adnan Nadir, J. J. F. Belch, Michael C. Keen, John C. Waterton, Paul Dieppe, Rose A. Maciewicz and Rory J. McCrimmon. Their work appears in journals such as Journal of Magnetic Resonance Imaging, British Journal of Radiology, Journal of the American College of Cardiology, European Heart Journal and Diabetes.

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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