The DOI matches its Crossref record; 274 of the 274 references it cites were found in a registry or an index.
Candida parapsilosis, an Emerging Fungal Pathogen
Open accessAbstract
SUMMARY: Candida parapsilosis is an emerging major human pathogen that has dramatically increased in significance and prevalence over the past 2 decades, such that C. parapsilosis is now one of the leading causes of invasive candidal disease. Individuals at the highest risk for severe infection include neonates and patients in intensive care units. C. parapsilosis infections are especially associated with hyperalimentation solutions, prosthetic devices, and indwelling catheters, as well as the nosocomial spread of disease through the hands of health care workers. Factors involved in disease pathogenesis include the secretion of hydrolytic enzymes, adhesion to prosthetics, and biofilm formation. New molecular genetic tools are providing additional and much-needed information regarding C. parapsilosis virulence. The emerging information will provide a deeper understanding of C. parapsilosis pathogenesis and facilitate the development of new therapeutic approaches for treating C. parapsilosis infections.
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Cited by
Shane, A. L., Sánchez, P. J., & Stoll, B. J. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31002-4 · Cited by 1,226
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Epidemiology of Invasive Mycoses in North America
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Pfaller, M. A., Diekema, D. J., Turnidge, J. D., Castanheira, M., & Jones, R. N. (2019) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofy358 · Cited by 825
Emerging opportunistic yeast infections
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Metadata
- Authors
- Trofa, D., Gácser, A., & Nosanchuk, J. D.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2008-10
- Volume
- 21
- Issue
- 4
- Pages
- 606-625
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2099241550
- Cited by
- 854
- References
- 274
- FWCI
- 21.46
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
