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Molecular Bases for Circadian Clocks

Name: Molecular Bases for Circadian Clocks
Creator: Jay C. Dunlap
Keywords: Intracellular Fluid, 0301 basic medicine, 0303 health sciences, Biochemistry, Genetics and Molecular Biology(all), Plants, Cyanobacteria, Circadian Rhythm, Feedback, Evolution, Molecular, Neurospora

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1999 English Publisher:Elsevier BVJournal:Cell, volume 96, pages 271-290 (issn: 0092-8674,

Authors: Jay C. Dunlap;

doi: 10.1016/s0092-8674(00)80566-8

pmid: 9988221

Molecular Bases for Circadian Clocks

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Dartmouth College
United States

Keywords

Intracellular Fluid, Biochemistry, Genetics and Molecular Biology(all), Plants, Cyanobacteria, Circadian Rhythm, Feedback, Evolution, Molecular, Neurospora, Biological Clocks, Animals, Humans, Drosophila, Phylogeny

43 Research products, page 1 of 5

Period circadian protein homolog 3
2017IsRelatedTo
Aryl hydrocarbon receptor nuclear translocator-like, isoform CRA_b
2017IsRelatedTo
Uncharacterized protein
2017IsRelatedTo
Discs overgrown, isoform D
2017IsRelatedTo
Circadian locomoter output cycles protein kaput
2017IsRelatedTo
Protein timeless homolog
2017IsRelatedTo
Per3 protein
2017IsRelatedTo
Protein cycle
2017IsRelatedTo
Circadian locomoter output cycles protein kaput
2017IsRelatedTo
Per1 protein
2017IsRelatedTo

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3K
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.01%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.01%