K. Stanton

775 citations
23 papers · 637 · h-index 10

Impact in

Papers in

K. Stanton

21 papers receiving 610 citations

Peers

K. Stanton
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 222
  • Endocrinology, Diabetes and Metabolism 135
  • Physiology 149
  • Clinical Biochemistry 38
  • Nephrology 30
Replace Alphons J.H.M. Houben with:
Alphons J.H.M. Houben Netherlands
Helmut Steinberg United States
Greetje de Vries Netherlands
Rahul Yadav India
Glaucia S. Tres Brazil
Regina Wikinski Argentina
G. C. Viberti United Kingdom
Antti Loimaala Finland
Salvatore Frullone Italy
Taly Meas France
K. Stanton relative to Alphons J.H.M. Houben Netherlands Alphons J.H.M. Houben's profile →
Citations per field
00.5×2×4×6×8×10×
Alphons J.H.M. Houben · 1×
Citations per year

Countries citing papers authored by K. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by K. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997196
2 2001126
3 200557
4 198454
5 202049
6 197029
7 202228
8 202319
9 201717
10 198610
11 201210
12 20179
13 20228
14 20227
15 20226
16 19824
17 19833
18 19992
19 20141
20 20141

About K. Stanton

K. Stanton is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, General Health Professions and Genetics, having authored 23 papers that have together received 637 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Effects of Exercise (2 papers), Diabetes and associated disorders (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Diabetes Management and Research (2 papers), Diabetes Treatment and Management (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (222 citations), Endocrinology, Diabetes and Metabolism (135 citations), Physiology (149 citations), Clinical Biochemistry (38 citations) and Nephrology (30 citations). K. Stanton has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include Gerald F. Watts, Gursharan K. Dogra, G. O’Driscoll, Rebekah T. Taylor, DANIEL JOHN GREEN, Lisa Rich, Dick C. Chan, David Stephen Celermajer, Vivian Kienzle and Ian Jeffery Constable. Their work appears in journals such as Diabetologia, Child Abuse Review, Journal of the American Heart Association, Pathology and Journal of Cardiovascular Magnetic Resonance.

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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