Jon D. Dunn

69 papers receiving 1.7k citations

Peers

Jon D. Dunn
Comparison fields: 5 of 101
  • Behavioral Neuroscience 478
  • Endocrine and Autonomic Systems 425
  • Sensory Systems 250
  • Biological Psychiatry 68
  • Cellular and Molecular Neuroscience 403
Replace David A. Blizard with:
David A. Blizard United States
Andrew C. Towle United States
Toshihiro Nakashima Japan
Toshikazu Kiyohara Japan
Sergei Musatov United States
Silvana Chiavegatto Brazil
Luciano Freitas Felício Brazil
Shaul Feldman Israel
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Citations per year

Countries citing papers authored by Jon D. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Jon D. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973167
2 1987166
3 1972134
4 1984125
5 1972101
6 199570
7 199469
8 200352
9 198850
10 196848
11 198744
12 200843
13 199840
14 198338
15 198738
16 197238
17
Relation of HFE gene mutations, high iron stores and early onset coronary artery disease.
199835
18 198635
19 200334
20 199733

About Jon D. Dunn

Jon D. Dunn is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Physiology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Circadian rhythm and melatonin (11 papers), Hypothalamic control of reproductive hormones (9 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Olfactory and Sensory Function Studies (5 papers), Receptor Mechanisms and Signaling (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Behavioral Neuroscience (478 citations), Endocrine and Autonomic Systems (425 citations), Sensory Systems (250 citations), Biological Psychiatry (68 citations) and Cellular and Molecular Neuroscience (403 citations). Jon D. Dunn has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Lawrence E. Scheving, Akira Arimura, Sarah E. Orr, C. David Ross, Donald A. Godfrey, V. Critchlow, TRACY J. WILLIAMS, Andrew V. Schally, Marvin H. Bennett and Robert F. Dyer. Their work appears in journals such as Neuroendocrinology, Hearing Research, Experimental Biology and Medicine, Endocrinology and Journal of Endocrinology.

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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