Kathryn Dunn

906 citations
17 papers · 703 indexed · h-index 11

Kathryn Dunn

17 papers receiving 693 citations

Peers

Kathryn Dunn
Comparison fields: 5 of 119
  • Biochemistry 158
  • Sensory Systems 90
  • Neurology 140
  • Cellular and Molecular Neuroscience 124
  • Physiology 172
Replace Qi Xi with:
Qi Xi China
John N. Buchholz United States
Qi Cheng Australia
Jean‐Baptiste Roullet United States
Sándor Kovács Hungary
Araceli Sánchez‐López Mexico
Fabio Ferrante Italy
Nadežda Nedeljković Serbia
Dustin P. Green United States
Neil G. McKay United Kingdom
Kathryn Dunn relative to Qi Xi China Qi Xi's profile →
Citations per field
00.5×3.6×
Qi Xi · 1×
Citations per year

Countries citing papers authored by Kathryn Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202022
2 201526
3 20141
4 201344
5
Conducting empirical research with older people
20134
6 2013164
7 201235
8 20111
9 201068
10 201097
11 200927
12 2008112
13 20087
14 200655
15
Social Enterprise Zones: Building Innovation into Regeneration
19985
16 199534
17
Families with hyperlipoproteinaemia. Do they want to know?
19781

About Kathryn Dunn

Kathryn Dunn is a scholar working on Biochemistry, Sensory Systems and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 703 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (6 papers), Hormonal Regulation and Hypertension (4 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Ion Channels and Receptors (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Biochemistry (158 citations), Sensory Systems (90 citations) and Neurology (140 citations). Kathryn Dunn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark T. Nelson, Wolfgang Liedtke, David C. Hill‐Eubanks, Marija Renić, Richard J. Roman, Adrian D. Bonev, Rachael M. Hannah, John R. Falck, Averia K. Flasch and David R. Harder. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The FASEB Journal, Journal of Cerebral Blood Flow & Metabolism, Neurological Research 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026