D. Burton
Impact in
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
-
- Neurobiology and Insect Physiology Research 14
- Photoreceptor and optogenetics research 5
- Cell Biology 17
- melanin and skin pigmentation 15
- Co-authors
- Margaret Burton (4 shared papers)G. L. Fletcher (1 shared paper)D. R. Idler (2 shared papers)Donald R. Mayo (1 shared paper)Michael Camilleri (1 shared paper)Ramiro Trillo (1 shared paper)Irene Ferber (1 shared paper)A. R. Zinsmeister (1 shared paper)
- Journals
- Journal of Fish Biology (9 papers)Canadian Journal of Zoology (4 papers)Journal of Zoology (4 papers)Journal of Experimental Biology (2 papers)Nature (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
D. Burton
37 papers receiving 323 citations
Peers
Comparison fields: 5 of 57
- Physiology 55
- Aquatic Science 68
- Cellular and Molecular Neuroscience 159
- Endocrine and Autonomic Systems 51
- Cell Biology 103
Countries citing papers authored by D. Burton
This map shows the geographic impact of D. Burton'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 D. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Burton more than expected).
Fields of papers citing papers by D. Burton
This network shows the impact of papers produced by D. Burton. 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 D. Burton. The network helps show where D. Burton may publish in the future.
Co-authors
The 9 scholars most cited alongside D. Burton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 30 | |
| 2 | 1981 | 29 | |
| 3 | 2000 | 29 | |
| 4 | 1983 | 21 | |
| 5 | 1984 | 17 | |
| 6 | 2000 | 16 | |
| 7 | 1985 | 15 | |
| 8 | 1993 | 15 | |
| 9 | 1992 | 14 | |
| 10 | 1995 | 13 | |
| 11 | 2008 | 11 | |
| 12 | 1998 | 11 | |
| 13 | 1985 | 9 | |
| 14 | 1998 | 8 | |
| 15 | 1989 | 8 | |
| 16 | 1988 | 8 | |
| 17 | 1978 | 8 | |
| 18 | 1998 | 7 | |
| 19 | 1964 | 7 | |
| 20 | 1998 | 6 |
About D. Burton
D. Burton is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Physiology, Aquatic Science and Molecular Biology, having authored 38 papers that have together received 345 indexed citations. Recurring topics across this work include melanin and skin pigmentation (15 papers), Reproductive biology and impacts on aquatic species (14 papers), Neurobiology and Insect Physiology Research (14 papers), Aquaculture Nutrition and Growth (10 papers), Marine and fisheries research (6 papers), Retinal Development and Disorders (6 papers), Dye analysis and toxicity (5 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Physiology (55 citations), Aquatic Science (68 citations), Cellular and Molecular Neuroscience (159 citations), Endocrine and Autonomic Systems (51 citations) and Cell Biology (103 citations). D. Burton has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Margaret Burton, G. L. Fletcher, D. R. Idler, Donald R. Mayo, Michael Camilleri, Ramiro Trillo, Irene Ferber, A. R. Zinsmeister and B. Truscott. Their work appears in journals such as Journal of Fish Biology, Canadian Journal of Zoology, Journal of Zoology, Journal of Experimental Biology and Nature.
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.