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Fungal infections in humans have historically received comparatively less attention than those caused by bacteria and viruses. This may, in part, stem from the relative differences in infection prevalence. However, the more widespread use of immunosuppressive therapy, invasive surgery and medical devices in modern medicine has resulted in a more frequent occurrence of human fungal infection. There are a number of fungi that can cause human disease. However, it is arguably a species of the genus Candida that are most often encountered. There are over 150 Candida species that are widely encountered in the environment and in animal hosts, however, only a small number are opportunistic pathogens of humans. Candida albicans is a polymorphic yeast-like fungus and undoubtedly the species most often recovered from human infection. As such, the virulence of C. albicans and its susceptibility to antifungal agents are often investigated. More recently, the prevalence of infections caused by non-C. albicansCandida species have increased and, amongst these, infections caused by Candida glabrata have received attention given its often-higher tolerance to frequently used antifungals exhibited by this species. The papers presented in this Special Issue have focused on aspects relating to host responses to Candida infection, the efficacy of novel therapeutic agents and also treatment regimes. The papers highlight novel findings in their respective areas, whilst also highlighting the need for further research in these key and largely under-researched areas of candidoses.
<i>Candida albicans</i>, Editorial, <i>Candida glabrata</i>, virulence factors, R, pathogenicity, Medicine, <i>Candida</i> infection
<i>Candida albicans</i>, Editorial, <i>Candida glabrata</i>, virulence factors, R, pathogenicity, Medicine, <i>Candida</i> infection
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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