Evidence map›Paper›PMID 24589366›Full record

ReviewMicrobial cell factories2014

Bacterial degradation of chlorophenols and their derivatives.

Pankaj Kumar Arora, Hanhong Bae

Open access · goldAbstract readReview
In one paragraph

Review in Microbial cell factories, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 240 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Gene cloning, phenol-responsive transcriptional profiling and recombinant protein characterization of phenol hydroxylase in Candida tropicalis GY8.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Removal of Phenol byMicroorganisms · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors at 1 institution in 1 country.

Pankaj Kumar Arora
Hanhong BaeSchool of Biotechnology, Yeungnam University, Gyeongsan 712-749, Republic of Korea. hanhongbae@ynu.ac.kr.
Yeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chlorophenols (CPs) and their derivatives are persistent environmental pollutants which are used in the manufacture of dyes, drugs, pesticides and other industrial products. CPs, which include monochlorophenols, polychlorophenols, chloronitrophenols, chloroaminophenols and chloromethylphenols, are highly toxic to living beings due to their carcinogenic, mutagenic and cytotoxic properties. Several physico-chemical and biological methods have been used for removal of CPs from the environment. Bacterial degradation has been considered a cost-effective and eco-friendly method of removing CPs from the environment. Several bacteria that use CPs as their sole carbon and energy sources have been isolated and characterized. Additionally, the metabolic pathways for degradation of CPs have been studied in bacteria and the genes and enzymes involved in the degradation of various CPs have been identified and characterized. This review describes the biochemical and genetic basis of the degradation of CPs and their derivatives.

Indexed as

BacteriaBacterial ProteinsBiodegradation, EnvironmentalChlorophenolsEnvironmental PollutantsBacterial ProteinsChlorophenolsEnvironmental Pollutants

Identifiers

PMID24589366
PMCPMC3975901
OpenAlexW2137581366

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.