Evidence map›Paper›PMID 21297669›Full record

ReviewNature reviews. Microbiology2011

Untapped potential: exploiting fungi in bioremediation of hazardous chemicals.

Hauke Harms, Dietmar Schlosser, Lukas Y Wick

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 237 papers.

0numbers the graph read from it
0cells of the map it votes in
237citing papers in PubMed
26.7field-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

237 citing papers in PubMed, 1,062 citations in OpenAlex.

  1. Review
  2. Article
  3. Impact Assessment and Sustainable Remediation of Heavy Metal and Radioactive Contamination in Aquatic Systems: A Review.Water environment research : a research publication of the Water Environment Federation · 2026
    Review
  4. Article
  5. Article
  6. Article
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  8. Review
  9. Article
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  11. Mechanisms of the marine yeastApplied and environmental microbiology · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Transcriptomic profiling ofApplied and environmental microbiology · 2025
    Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Hauke HarmsHelmholtz Centre for Environmental Research - UFZ, Department of Environmental Microbiology, Permoserstrasse 15, D-04318 Leipzig, Germany. hauke.harms@ufz.de
Dietmar Schlosser
Lukas Y Wick
Helmholtz Centre for Environmental Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungi possess the biochemical and ecological capacity to degrade environmental organic chemicals and to decrease the risk associated with metals, metalloids and radionuclides, either by chemical modification or by influencing chemical bioavailability. Furthermore, the ability of these fungi to form extended mycelial networks, the low specificity of their catabolic enzymes and their independence from using pollutants as a growth substrate make these fungi well suited for bioremediation processes. However, despite dominating the living biomass in soil and being abundant in aqueous systems, fungi have not been exploited for the bioremediation of such environments. In this Review, we describe the metabolic and ecological features that make fungi suited for use in bioremediation and waste treatment processes, and discuss their potential for applications on the basis of these strengths.

Indexed as

Biodegradation, EnvironmentalAir PollutantsFungiHazardous SubstancesSoil PollutantsWater Pollutants, ChemicalAir PollutantsHazardous SubstancesSoil PollutantsWater Pollutants, Chemical

Identifiers

PMID21297669
OpenAlexW2010574143

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.