Prevalence and toxin gene profiles of <i>Clostridium perfringens</i> in diarrheic dogs and cats in Korea: a retrospective analysis

These findings may aid in predicting toxinotypes in future diarrhea outbreaks and support the development of targeted control measures. Further research is required to clarify the clinical relevance of these toxinotypes in <i>C. perfringens</i>-associated diarrhea.

Authors

Institutions

Publication Details

Journal
Journal of Veterinary Science
Published
2025-01-01
DOI
https://doi.org/10.4142/jvs.24361
Primary Topic
Biological Research and Disease Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence and toxin gene profiles of Clostridium perfringens in diarrheic dogs and cats in Korea: a retrospective analysis

Doo‐Sung Cheon, Ye‐In Oh, J. Park
Journal of Veterinary Science
Biological Research and Disease Studies
article

Prevalence and toxin gene profiles of Clostridium perfringens in diarrheic dogs and cats in Korea: a retrospective analysis

Doo‐Sung Cheon, Ye‐In Oh, J. Park
article en

Abstract

These findings may aid in predicting toxinotypes in future diarrhea outbreaks and support the development of targeted control measures. Further research is required to clarify the clinical relevance of these toxinotypes in <i>C. perfringens</i>-associated diarrhea.

Journal of Veterinary ScienceVol. 26(4)
Kyungpook National University (KR), Kyungbok University (KR)
Kyungpook National University
Openalex Percentile: Top 82%
Biological Research and Disease Studies
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.