Kim Sutton‐Tyrrell

107 papers receiving 7.0k citations

Peers

Kim Sutton‐Tyrrell
Comparison fields: 5 of 150
  • Cardiology and Cardiovascular Medicine 3.2k
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Pulmonary and Respiratory Medicine 1.1k
  • Surgery 1.0k
  • Public Health, Environmental and Occupational Health 774
Replace Kim Sutton-Tyrrell with:
Kim Sutton-Tyrrell United States
Tamara B. Harris United States
Margaret Kelly‐Hayes United States
Mark A. Kotowicz Australia
David S. Sheps United States
Brandon R. Grossardt United States
Yue‐Fang Chang United States
Birgitta Stegmayr Sweden
Nina Hutri‐Kähönen Finland
Annlia Paganini‐Hill United States
Kim Sutton‐Tyrrell relative to Kim Sutton-Tyrrell United States Kim Sutton-Tyrrell's profile →
Citations per field
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Kim Sutton-Tyrrell · 1×
Citations per year

Countries citing papers authored by Kim Sutton‐Tyrrell

Since Specialization
Citations

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

Fields of papers citing papers by Kim Sutton‐Tyrrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Sutton‐Tyrrell. 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 Kim Sutton‐Tyrrell. The network helps show where Kim Sutton‐Tyrrell may publish in the future.

Co-authorship network of co-authors of Kim Sutton‐Tyrrell

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Sutton‐Tyrrell. A scholar is included among the top collaborators of Kim Sutton‐Tyrrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Sutton‐Tyrrell. Kim Sutton‐Tyrrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 6
3 27
4 34
5 40
6 59
7 60
8 125
9 10
10 72
11 5
12 75
13 411
14 118
15 61
16 1
17 33
18 21
19 115
20 7

About Kim Sutton‐Tyrrell

Kim Sutton‐Tyrrell is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (54 papers), Blood Pressure and Hypertension Studies (27 papers) and Cerebrovascular and Carotid Artery Diseases (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.2k citations), Endocrinology, Diabetes and Metabolism (1.5k citations) and Behavioral Neuroscience (230 citations). Kim Sutton‐Tyrrell has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Lewis H. Kuller, Karen A. Matthews, Joyce T. Bromberger, Anne B. Newman, Lynda H. Powell, Daniel Edmundowicz, Peter Meyer, Howard M. Kravitz, Sidney K. Wolfson and Patricia A. Ganz. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.

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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