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International Journal of Molecular Sciences
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Cancer Cell Metabolism

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 29 Jun 2022 Germany, United Kingdom English Publisher:MDPI AGJournal:International Journal of Molecular Sciences, volume 23, page 7,210 (eissn: 1422-0067, Copyright policy )
Authors: Parkinson, Eric K.; Haferkamp, Sebastian; Mycielska, Maria E.;

doi: 10.3390/ijms23137210 , 10.5283/epub.52919

pmid: 35806215

pmc: PMC9266817

Cancer Cell Metabolism

Abstract

Cancer metabolism has been of interest for decades; however, the recent development of sophisticated techniques such as metabolomics or lipidomics have significantly increased our understanding of processes taking place in tumour cells [...]

Countries
Germany, United Kingdom
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Keywords

ddc:610, 610 Medizin, Lipid Metabolism, Editorial, Neoplasms, Lipidomics, Humans, Metabolomics, 570 Biowissenschaften, Biologie, ddc:570

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    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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download
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Average
52
52
Green
gold
Related to Research communities
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Cancer Research