Jason P. DeBruyne
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Plant Science top 10%
- Co-authors
- David R. WeaverSteven M. ReppertElizabeth NotonChristopher M. LambertElizabeth S. MaywoodRobert DallmannJean‐Pierre EtchegarayGregory M. Cahill
- Topics
- Circadian rhythm and melatonin (18 papers)Genetics, Aging, and Longevity in Model Organisms (10 papers)Spaceflight effects on biology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Jason P. DeBruyne
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Endocrine and Autonomic Systems 1.2k
- Physiology 483
- Cellular and Molecular Neuroscience 385
- Molecular Biology 364
- Plant Science 359
Countries citing papers authored by Jason P. DeBruyne
This map shows the geographic impact of Jason P. DeBruyne'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 Jason P. DeBruyne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason P. DeBruyne more than expected).
Fields of papers citing papers by Jason P. DeBruyne
This network shows the impact of papers produced by Jason P. DeBruyne. 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 Jason P. DeBruyne. The network helps show where Jason P. DeBruyne may publish in the future.
Co-authorship network of co-authors of Jason P. DeBruyne
This figure shows the co-authorship network connecting the top 25 collaborators of Jason P. DeBruyne. A scholar is included among the top collaborators of Jason P. DeBruyne 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 Jason P. DeBruyne. Jason P. DeBruyne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | Melatonin receptor heterodimerization in a photoreceptor-like cell line endogenously expressing melatonin receptors | 5 |
| 8 | 25 | |
| 9 | 65 | |
| 10 | 22 | |
| 11 | 210 | |
| 12 | 33 | |
| 13 | 11 | |
| 14 | 367 | |
| 15 | 18 | |
| 16 | 338 | |
| 17 | 144 | |
| 18 | 121 | |
| 19 | 27 | |
| 20 | 28 |
About Jason P. DeBruyne
Jason P. DeBruyne is a scholar working on Aging, Endocrine and Autonomic Systems and Microbiology, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers) and Spaceflight effects on biology (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Aging (284 citations) and Cellular and Molecular Neuroscience (385 citations). Jason P. DeBruyne has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include David R. Weaver, Steven M. Reppert, Elizabeth Noton, Christopher M. Lambert, Elizabeth S. Maywood, Robert Dallmann, Jean‐Pierre Etchegaray, Gregory M. Cahill, Mark W. Hurd and Martin Straume. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.