Molecular identification of Malassezia from the skin scrapings of clinically suspected cases of pityriasis versicolor

M-PCR could identify Malassezia species directly from skin specimens, eliminating the need for culture. M-PCR was accurate, dependable, and exhibited a rapid turnaround time.

Authors

Institutions

Publication Details

Journal
Indian Journal of Pathology and Microbiology
Published
2024-09-02
DOI
https://doi.org/10.4103/ijpm.ijpm_85_24
Citations
2
Primary Topic
Nail Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular identification of Malassezia from the skin scrapings of clinically suspected cases of pityriasis versicolor

Shivaprakash Mandya Rudramurthy, Raksha Yoganand, S Ragunatha, K. Shashi Kiran et al.
2 citations
Indian Journal of Pathology and Microbiology
Nail Diseases and Treatments
0.77
article

Molecular identification of Malassezia from the skin scrapings of clinically suspected cases of pityriasis versicolor

Shivaprakash Mandya Rudramurthy, Raksha Yoganand, S Ragunatha, K. Shashi Kiran, Shoorashetty Manohar Rudresh, Gupta Jyoti
article en
2 citations

Abstract

M-PCR could identify Malassezia species directly from skin specimens, eliminating the need for culture. M-PCR was accurate, dependable, and exhibited a rapid turnaround time.

Indian Journal of Pathology and MicrobiologyVol. 68(2)
ESI - Post Graduate Institute of Medical Science and Research (IN), Post Graduate Institute of Medical Education and Research (IN)
Climate action
Openalex Percentile: Top 26%
Nail Diseases and Treatments
0.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.