Evidence map›Paper›PMID 22769586›Full record

ReviewMedical mycology2013

Fungal hemolysins.

Ajay P Nayak, Brett J Green, Donald H Beezhold

Open access · bronzeAbstract readReview
In one paragraph

Review in Medical mycology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

42 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Characterization of Biofilm Formation by the DermatophyteJournal of fungi (Basel, Switzerland) · 2025
    Article
  5. Biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Journal of fungi (Basel, Switzerland) · 2024
    Review
  10. Article
  11. Revealing the impact of Rapamycin on the virulence factors of theCurrent research in microbial sciences · 2024
    Article
  12. Accelerating the understanding ofCurrent research in microbial sciences · 2024
    Review
  13. Article
  14. Phenotypic Characterization of OralLife (Basel, Switzerland) · 2023
    Article
  15. Metabolic Plasticity and Virulence-Associated Factors ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  16. Infection and drug resistance · 2023
    Review
  17. Article
  18. Article
  19. Review
  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

3 authors at 2 institutions in 3 countries.

Ajay P NayakAllergy and Clinical Immunology Branch, National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV 26505, USA. fyg1@cdc.gov
Brett J Green
Donald H Beezhold
National Institute for Occupational Safety and Health · USWest Virginia University · US

Funding

Intramural CDC HHS CC999999NIEHS NIH HHS Y01 ES000001NIEHS NIH HHS Y1-ES0001-06
6 · The paper itself

Abstract

Hemolysins are a class of proteins defined by their ability to lyse red cells but have been described to exhibit pleiotropic functions. These proteins have been extensively studied in bacteria and more recently in fungi. Within the last decade, a number of studies have characterized fungal hemolysins and revealed a fascinating yet diverse group of proteins. The purpose of this review is to provide a synopsis of the known fungal hemolysins with an emphasis on those belonging to the aegerolysin protein family. New insight and perspective into fungal hemolysins in biotechnology and health are additionally presented.

Indexed as

BiotechnologyFungal ProteinsFungiHealthHemolysin ProteinsHemolysisVirulence FactorsaegerolysinFungal ProteinsHemolysin ProteinsVirulence Factors

Identifiers

PMID22769586
PMCPMC4663657
OpenAlexW4211190387

What OpenQuestion holds

Textmetadata
LicenceTDM
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.