Evidence map›Paper›PMID 27628712›Full record

ReviewAging cell2016

Small molecule compounds that induce cellular senescence.

Nadezhda V Petrova, Artem K Velichko, Sergey V Razin, Omar L Kantidze

Open access · goldAbstract readReview
In one paragraph

Review in Aging cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

151 citing papers in PubMed, 223 citations in OpenAlex.

  1. Review
  2. Article
  3. Cellular senescence and aging: molecular mechanisms and convergent pathways.Cellular and molecular life sciences : CMLS · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Real-Time Detection of Reduced Nitroreductase with a Reversible Fluorescent Probe.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Article
  15. Food science & nutrition · 2025
    Article
  16. Review
  17. Cellular senescence in kidney diseases.Chinese medical journal · 2025
    Review
  18. Review
  19. Article
  20. Cerebrovascular p16Acta neuropathologica communications · 2025
    Article

91 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Nadezhda V PetrovaInstitute of Gene Biology RAS, 34/5 Vavilova Street, 119334, Moscow, Russia.
Artem K VelichkoInstitute of Gene Biology RAS, 34/5 Vavilova Street, 119334, Moscow, Russia.
Sergey V RazinInstitute of Gene Biology RAS, 34/5 Vavilova Street, 119334, Moscow, Russia.
Omar L KantidzeInstitute of Gene Biology RAS, 34/5 Vavilova Street, 119334, Moscow, Russia.
Institute of Gene Biology · RULomonosov Moscow State University · RU

Funding

Russian Science Foundation 14-24-00022
6 · The paper itself

Abstract

To date, dozens of stress-induced cellular senescence phenotypes have been reported. These cellular senescence states may differ substantially from each other, as well as from replicative senescence through the presence of specific senescence features. Here, we attempted to catalog virtually all of the cellular senescence-like states that can be induced by low molecular weight compounds. We summarized biological markers, molecular pathways involved in senescence establishment, and specific traits of cellular senescence states induced by more than fifty small molecule compounds.

Indexed as

agingcell stresscellular senescenceDNA damageDNA replication stressepigenetic modifiers

Identifiers

PMID27628712
PMCPMC6398529
OpenAlexW2520322757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.