A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash

Authors

Institutions

Publication Details

Journal
Journal of Pest Science
Published
2026-01-19
DOI
https://doi.org/10.1007/s10340-025-01981-4
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash

Amanda D. Roe, Anouchka Perret‐Gentil, Martin M. Goßner, Michael Eisenring et al.
Journal of Pest Science
Forest Insect Ecology and Management
article

A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash

Amanda D. Roe, Anouchka Perret‐Gentil, Martin M. Goßner, Michael Eisenring, Gaétan Glauser, Valentin Queloz, Zhen Li, Mario Sahli, Elisabeth Schertler, Jacob St. Amour
article en

Abstract

No abstract available for this paper.
Journal of Pest ScienceVol. 99(2)
Canadian Forest Service (CA), Natural Resources Canada (CA), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), ETH Zurich (CH), University of Neuchâtel (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Natural Resources Canada
Zero hunger
Openalex Percentile: Top 87%
Forest Insect Ecology and Management
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.