J. Kay Dunn

4.9k citations
50 papers · 3.9k indexed · 1 hit paper · h-index 30
Topics
Lipoproteins and Cardiovascular Health (8 papers)Obesity, Physical Activity, Diet (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)
Partner nations
United StatesAustria

In The Last Decade

J. Kay Dunn

50 papers receiving 3.7k citations

Hit Papers

Relation of triglyceride metabolism and coronary artery d...19922026200320141992250500750

Peers

J. Kay Dunn
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 862
  • Cardiology and Cardiovascular Medicine 742
  • Physiology 611
  • Public Health, Environmental and Occupational Health 602
Replace Ιrene Lambrinoudaki with:
Ιrene Lambrinoudaki Greece
Carolyn Crandall United States
Rana Fayyad United States
Göran Berglund Sweden
Dawn Waterworth United Kingdom
Sang Woo Oh South Korea
Susanna Morano Italy
Emanuele Miraglia del Giudice Italy
Dong Seop Choi South Korea
Thomas Philipp Germany
J. Kay Dunn relative to Ιrene Lambrinoudaki Greece Ιrene Lambrinoudaki's profile →
Citations per field
00.5×1.5×
Ιrene Lambrinoudaki · 1×
Citations per year

Countries citing papers authored by J. Kay Dunn

Since Specialization
Citations

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

Fields of papers citing papers by J. Kay Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kay Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kay Dunn. A scholar is included among the top collaborators of J. Kay Dunn 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 J. Kay Dunn. J. Kay Dunn 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 55
2 16
3 99
4 68
5 58
6 106
7 23
8 2
9 35
10 127
11 19
12 38
13 292
14 87
15 10
16 38
17 1
18 17
19 1
20 23

About J. Kay Dunn

J. Kay Dunn is a scholar working on Pharmacy, Issues, ethics and legal aspects and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Obesity, Physical Activity, Diet (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cardiology and Cardiovascular Medicine (742 citations) and Physiology (611 citations). J. Kay Dunn has collaborated with scholars based in United States and Austria. Frequent co-authors include Antonio M. Gotto, Wolfgang Patsch, Josef R. Patsch, Gero Miesenböck, E Knapp, V. Mühlberger, T Hopferwieser, Peter T. Scardino, Thomas M. Wheeler and Dawna Armstrong. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Cancer.

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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