Cited by 127Telomeres, Telomerase, and SenescenceSkin Protection and AgingWound Healing and Treatments

The DOI matches its Crossref record; 70 of the 71 references it cites were found in a registry or an index.

Cell Autonomous and Non-Autonomous Effects of Senescent Cells in the Skin

Open access
Demaria, Marco, Desprez, Pierre Yves, Campisi, Judith, Velarde, Michael C.·2015·Journal of Investigative Dermatology

Abstract

Human and mouse skin accumulate senescent cells in both the epidermis and dermis during aging. When chronically present, senescent cells are thought to enhance the age-dependent deterioration of the skin during extrinsic and intrinsic aging. However, when transiently present, senescent cells promote optimal wound healing. Here, we review recent studies on how senescent cells and the senescence-associated secretory phenotype contribute to different physiological and pathophysiological conditions in the skin with a focus on some of the cell autonomous and non-autonomous functions of senescent cells in the context of skin aging and wound healing.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/jid.2015.108

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 71 references

1 of the 71 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 101–127 of 127

Metadata

Authors
Demaria, M., Desprez, P. Y., Campisi, J., & Velarde, M. C.
Affiliations
Buck Institute for Research on Aging (US)
Corresponding author
Velarde, Michael C.
Venue
Journal of Investigative Dermatology
Publisher
Elsevier BV
Published
2015-07
Volume
135
Issue
7
Pages
1722-1726
ISSN
0022-202X (ISSN-L)
OpenAlex
W2067542143
Cited by
127
References
71
Citations by year
2026: 6 · 2025: 10 · 2024: 8 · 2023: 12 · 2022: 16 · 2021: 16 · 2020: 12 · 2019: 10 · 2018: 8 · 2017: 10 · 2016: 13 · 2015: 4
FWCI
1.43
Type
journal article
Language
en
Open access
Locations
  • Journal of Investigative Dermatology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (K99-AG041221, P01- AG017242, P01-AG041122, R21-CA166347, R37-AG009909)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
  • Health Sciences › Medicine › Dermatology › Skin Protection and Aging
  • Health Sciences › Medicine › Surgery › Wound Healing and Treatments
Keywords
senescent cells, senescence-associated secretory phenotype, skin aging, extrinsic aging, intrinsic aging, wound healing, epidermis, dermis, cell-autonomous effects, extracellular matrix
MeSH terms
Epidermal Cells, Animals, Cell Differentiation, Cell Division, Epidermis, Female, Fibroblasts, Homeostasis, Humans, Male, Sensitivity and Specificity, Skin, Wound Healing, Skin Aging, Cellular Senescence, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review