Evidence map›Paper›PMID 11114734›Full record

ReviewOncogene2000

The protein tyrosine kinase family of the human genome.

D R Robinson, Y M Wu, S F Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 406 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
406citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 2% 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

406 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,147 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Frontiers in oncology · 2026
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. World journal of gastrointestinal oncology · 2025
    Article

346 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

3 authors at 2 institutions in 1 country.

D R RobinsonDepartment of Biological Chemistry, UC Davis School of Medicine, UC Davis Cancer Center, Sacramento, California, CA 95817, USA.
Y M Wu
S F Lin
UC Davis Comprehensive Cancer CenterUniversity of California, Davis · US

Funding

RESTRICTION BASED ANALYSIS OF GENE EXPRESSION (RAGE)R01CA082073 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KUNG, HSING-JIEN · 1998 to 2001
$342k
NCI NIH HHS R0I CA82073
6 · The paper itself

Abstract

As the sequencing of the human genome is completed by the Human Genome Project, the analysis of this rich source of information will illuminate many areas in medicine and biology. The protein tyrosine kinases are a large multigene family with particular relevance to many human diseases, including cancer. A search of the human genome for tyrosine kinase coding elements identified several novel genes and enabled the creation of a nonredundant catalog of tyrosine kinase genes. Ninety unique kinase genes can be identified in the human genome, along with five pseudogenes. Of the 90 tyrosine kinases, 58 are receptor type, distributed into 20 subfamilies. The 32 nonreceptor tyrosine kinases can be placed in 10 subfamilies. Additionally, mouse orthologs can be identified for nearly all the human tyrosine kinases. The completion of the human tyrosine kinase family tree provides a framework for further advances in biomedical science.

Indexed as

Genome, HumanAnimalsHumansProtein-Tyrosine KinasesProtein-Tyrosine Kinases

Identifiers

PMID11114734
OpenAlexW2168752603

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.