G C Sutton

1.5k citations
28 papers · 1.2k · h-index 13

Impact in

Papers in

G C Sutton

24 papers receiving 1.1k citations

Peers

G C Sutton
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 640
  • Complementary and alternative medicine 91
  • Physiology 157
  • Pulmonary and Respiratory Medicine 159
  • Nephrology 33
Replace J Bayliss with:
J Bayliss United Kingdom
E Myhre Norway
Isabelle Antony France
Dag Sørlie Norway
E.M. Gilbert United States
Stephanie L. Olsen United States
Andrea Salzano Italy
Kenneth B. Desser United States
Cesare de Gregorio Italy
F Camerini Italy
G C Sutton relative to J Bayliss United Kingdom J Bayliss's profile →
Citations per field
00.5×1.5×
J Bayliss · 1×
Citations per year

Countries citing papers authored by G C Sutton

Since Specialization
Citations

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

Fields of papers citing papers by G C Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G C Sutton. 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 G C Sutton. The network helps show where G C Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987394
2 1987347
3 199076
4 198051
5 198947
6 198937
7 201631
8 198320
9 199220
10 198118
11 198017
12 198317
13 199515
14
Comparison of methods to assess coronary heart disease prevalence in South Asians.
199811
15 198410
16 19819
17 19729
18 19877
19 19866
20 19904

About G C Sutton

G C Sutton is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Complementary and alternative medicine and Analytical Chemistry, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (10 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiovascular and exercise physiology (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (640 citations), Complementary and alternative medicine (91 citations), Physiology (157 citations), Pulmonary and Respiratory Medicine (159 citations) and Nephrology (33 citations). G C Sutton has collaborated with scholars based in United Kingdom, Bulgaria and United States. Frequent co-authors include J Bayliss, P A Poole-Wilson, R Canepa‐Anson, M S Norell, Jayan Parameshwar, A. Scriven, A. Richardson, P. A. Poole‐Wilson, Christine Wright and S. R. Reuben. Their work appears in journals such as Heart, European Heart Journal, British Journal of Clinical Pharmacology, Clinical Science and Journal of Cardiovascular Pharmacology.

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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