Kay Dunn
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
Papers in
-
- Hormonal Regulation and Hypertension 1
- Surgery 2
- Co-authors
- William Insull (2 shared papers)Henry J. Pownall (2 shared papers)Christie M. Ballantyne (2 shared papers)Antonio M. Gotto (3 shared papers)Louis C. Smith (2 shared papers)Barbara Antalffy (1 shared paper)Dawna D. Armstrong (1 shared paper)Yasunori Abe (1 shared paper)
- Journals
- Circulation (3 papers)Journal of Experimental Psychology Human Perception & Performance (2 papers)Journal of Communication (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Clinical Chemistry (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Kay Dunn
14 papers receiving 617 citations
Peers
Comparison fields: 5 of 90
- Immunology and Allergy 48
- Cognitive Neuroscience 114
- Cardiology and Cardiovascular Medicine 114
- Endocrinology, Diabetes and Metabolism 84
- Developmental Neuroscience 17
Countries citing papers authored by Kay Dunn
This map shows the geographic impact of 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 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 Kay Dunn more than expected).
Fields of papers citing papers by Kay Dunn
This network shows the impact of papers produced by 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 Kay Dunn. The network helps show where Kay Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 266 | |
| 2 | 1998 | 103 | |
| 3 | 2006 | 86 | |
| 4 | 1982 | 44 | |
| 5 | 1981 | 38 | |
| 6 | 1981 | 26 | |
| 7 | 1988 | 17 | |
| 8 | 1996 | 16 | |
| 9 | 1996 | 15 | |
| 10 | 2012 | 13 | |
| 11 | 2009 | 13 | |
| 12 | 1991 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2007 | 1 |
About Kay Dunn
Kay Dunn is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Clinical Psychology and Molecular Biology, having authored 14 papers that have together received 640 indexed citations. Recurring topics across this work include Family and Disability Support Research (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Nicotinic Acetylcholine Receptors Study (1 paper), Hormonal Regulation and Hypertension (1 paper), Ion channel regulation and function (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Immunology and Allergy (48 citations), Cognitive Neuroscience (114 citations), Cardiology and Cardiovascular Medicine (114 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Developmental Neuroscience (17 citations). Kay Dunn has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include William Insull, Henry J. Pownall, Christie M. Ballantyne, Antonio M. Gotto, Louis C. Smith, Barbara Antalffy, Dawna D. Armstrong, Yasunori Abe, Bruno G. Breitmeyer and Tom Baranowski. Their work appears in journals such as Circulation, Journal of Experimental Psychology Human Perception & Performance, Journal of Communication, American Journal of Obstetrics and Gynecology and Clinical Chemistry.
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.