Trace Element Levels in Canine Tear Film

This study provides a detailed assessment of the trace element composition in the tear film of healthy dogs. These findings enhance our understanding of canine ocular surface physiology and may have potential implications for the diagnosis and management of ocular surface diseases in dogs.

Authors

Institutions

Publication Details

Journal
Veterinary Ophthalmology
Published
2025-03-05
DOI
https://doi.org/10.1111/vop.70004
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Trace Element Levels in Canine Tear Film

Ron Ofri, Oren Pe’er, Olga Girshevitz, Nitza Goldenberg‐Cohen et al.
Veterinary Ophthalmology
Ocular Surface and Contact Lens
article

Trace Element Levels in Canine Tear Film

Ron Ofri, Oren Pe’er, Olga Girshevitz, Nitza Goldenberg‐Cohen, Alon Zahavi, Lionel Sebbag
article en

Abstract

This study provides a detailed assessment of the trace element composition in the tear film of healthy dogs. These findings enhance our understanding of canine ocular surface physiology and may have potential implications for the diagnosis and management of ocular surface diseases in dogs.

Veterinary OphthalmologyVol. 29(1)
Bar-Ilan University (IL), Tel Aviv University (IL), Technion – Israel Institute of Technology (IL), Hebrew University of Jerusalem (IL), Rabin Medical Center (IL), Bnai Zion Medical Center (IL)
Israel Science Foundation
Life below water
Openalex Percentile: Top 94%
Ocular Surface and Contact Lens
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.