Evidence map›Paper›PMID 17229475›Full record

ReviewBiochimica et biophysica acta2007

MAP kinase pathways: the first twenty years.

Joseph Avruch

Abstract readHistorical ArticleReview
In one paragraph

Review in Biochimica et biophysica acta, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
–field-weighted citation impact
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

129 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Proteomic analysis of dental pulp from deciduous teeth in comparison to permanent teeth: an in-vitro study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Trametinib ameliorates aging-associated gut pathology inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Molecular and clinical oncology · 2023
    Article
  20. Article

69 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

1 author.

Joseph AvruchDepartment of Molecular Biology and the Diabetes Unit, Medical Services, Massachusetts General Hospital, and Department of Medicine, Harvard Medical School, 185 Cambridge St., Boston, MA 02114-2790, USA. avruch@molbio.mgh.harvard.edu

Funding

PHOSPHOPEPTIDE METABOLISM IN ADIPOCYTESR37DK017776 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI AVRUCH, JOSEPH · 1999 to 2018
$9.3M
NIDDK NIH HHS R37 DK017776
6 · The paper itself

Abstract

The MAP kinases, discovered approximately 20 years ago, together with their immediate upstream regulators, are among the most highly studied signal transduction molecules. This body of work has shaped many aspects of our present views of signal transduction by protein kinases. The effort expended in this area reflects the extensive participation of these regulatory modules in the control of cell fate decisions, i.e., proliferation, differentiation and death, across all eukaryotic phylla and in all tissues of metazoans. The discovery of these kinases is reviewed, followed by a discussion of some of the features of this signaling module that account for its broad impact on cell function and its enormous interest to many investigators.

Indexed as

MAP Kinase Signaling SystemAnimalsBiological EvolutionExtracellular Signal-Regulated MAP KinasesHistory, 20th CenturyHistory, 21st CenturyHumansSpecies SpecificitySubstrate SpecificityExtracellular Signal-Regulated MAP Kinases

Identifiers

PMID17229475
PMCPMC2043147

What OpenQuestion holds

Textmetadata
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.