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Cited by 708

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Canine leishmaniosis – new concepts and insights on an expanding zoonosis: part one

Open access
Baneth, Gad, Koutinas, Alexander F., Solano-Gallego, Laia, Bourdeau, Patrick, Ferrer, Lluis·2008·Trends in Parasitology

Abstract

Recent research has provided new insights on the epidemiology, pathology and immunology of canine leishmaniosis (CanL) and its genetic basis. The prevalence of infection in endemic areas is considerably higher than that of apparent clinical illness. In addition, infection spreads rapidly among dogs in the presence of optimal conditions for transmission. Infection involves a variety of granulomatous and harmful immune-mediated responses, and susceptibility to the disease is influenced by a complex genetic basis. These concepts will be instrumental for devising control programs. This review, the first in a series of two articles on CanL, presents an updated view on progress in elucidating the epidemiology and pathogenesis of this challenging disease, and the second part focuses on advances in diagnosis, treatment and prevention.

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Crossref · 10.1016/j.pt.2008.04.001

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Metadata

Authors
Baneth, G., Koutinas, A. F., Solano-Gallego, L., Bourdeau, P., & Ferrer, L.
Venue
Trends in Parasitology
Publisher
Elsevier BV
Published
2008-07
Volume
24
Issue
7
Pages
324-330
ISSN
1471-4922 (ISSN-L)
OpenAlex
W2131902485
Cited by
708
References
87
FWCI
4.95
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Canine leishmaniosis – new concepts and insights on an expanding zoonosis: part one. https://app.cochat.ai/papers/10.1016/j.pt.2008.04.001
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Baneth, G., Koutinas, A. F., Solano-Gallego, L., Bourdeau, P., & Ferrer, L. (2008). Canine leishmaniosis – new concepts and insights on an expanding zoonosis: part one. Trends in Parasitology. https://doi.org/10.1016/j.pt.2008.04.001

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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.