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Networking of WNT, FGF, Notch, BMP, and Hedgehog Signaling Pathways during Carcinogenesis

Overview of attention for article published in Stem Cell Reviews and Reports, June 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 X user
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7 patents
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1 Wikipedia page

Citations

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266 Dimensions

Readers on

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206 Mendeley
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1 CiteULike
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1 Connotea
Title
Networking of WNT, FGF, Notch, BMP, and Hedgehog Signaling Pathways during Carcinogenesis
Published in
Stem Cell Reviews and Reports, June 2007
DOI 10.1007/s12015-007-0006-6
Pubmed ID
Authors

Masaru Katoh

Abstract

The biological functions of some orthologs within the human genome and model-animal genomes are evolutionarily conserved, but those of others are divergent due to protein evolution and promoter evolution. Because WNT signaling molecules play key roles during embryogenesis, tissue regeneration and carcinogenesis, the author's group has carried out a human WNT-ome project for the comprehensive characterization of human genes encoding WNT signaling molecules. From 1996 to 2002, we cloned and characterized WNT2B/WNT13, WNT3, WNT3A, WNT5B, WNT6, WNT7B, WNT8A, WNT8B, WNT9A/WNT14, WNT9B/WNT14B, WNT10A, WNT10B, WNT11, FZD1, FZD2, FZD3, FZD4, FZD5, FZD6, FZD7, FZD8, FZD10, FRAT1, FRAT2, NKD1, NKD2, VANGL1, RHOU/ARHU, RHOV/ARHV, GIPC2, GIPC3, FBXW11/betaTRCP2, SOX17, TCF7L1/TCF3, and established a cDNA-PCR system for snap-shot and dynamic analyses on the WNT-transcriptome. In 2003, we identified and characterized PRICKLE1, PRICKLE2, DACT1/DAPPER1, DACT2/DAPPER2, DAAM2, and BCL9L. After completion of the human WNT-ome project, we have been working on the stem cell signaling network. WNT signals are transduced to beta-catenin, NLK, NFAT, PKC, JNK and RhoA signaling cascades. FGF20, JAG1 and DKK1 are target genes of the WNT-beta-catenin signaling cascade. Cross-talk of WNT and FGF signaling pathways potentiates beta-catenin and NFAT signaling cascades. BMP signals induce IHH upregulation in co-operation with RUNX. Hedgehog signals induce upregulation of SFRP1, JAG2 and FOXL1, and then FOXL1 induces BMP4 upregulation. The balance between WNT-FGF-Notch and BMP-Hedgehog signaling networks is important for the maintenance of homoestasis among stem and progenitor cells. Disruption of the stem cell signaling network results in pathological conditions, such as congenital diseases and cancer.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
India 3 1%
Japan 2 <1%
United Kingdom 2 <1%
France 1 <1%
Sweden 1 <1%
Germany 1 <1%
Pakistan 1 <1%
Taiwan 1 <1%
Other 3 1%
Unknown 188 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 25%
Student > Ph. D. Student 50 24%
Student > Master 16 8%
Student > Bachelor 14 7%
Professor > Associate Professor 11 5%
Other 35 17%
Unknown 29 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 41%
Biochemistry, Genetics and Molecular Biology 44 21%
Medicine and Dentistry 24 12%
Engineering 4 2%
Chemistry 3 1%
Other 17 8%
Unknown 29 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2023.
All research outputs
#3,722,734
of 26,017,215 outputs
Outputs from Stem Cell Reviews and Reports
#113
of 1,060 outputs
Outputs of similar age
#9,734
of 86,272 outputs
Outputs of similar age from Stem Cell Reviews and Reports
#2
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 86,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.