Sycosoter Picard & Lichtenstein 1917

Genus Sycosoter Picard & Lichtenstein, 1917 Sycosoter Picard & Lichtenstein, 1917: 285; Gebiola et al. 2015: 607 (restoration from synonymy); Yu et al. 2016; Belokobylskij & Lin 2020: 24. Type species. Sycosoter lavagnei Picard & Lichtenstein, 1917. Hosts. Coleoptera: Bostrichidae, Curculionidae (Scolytinae). Distribution. Australasian, Oriental and Palaearctic Regions.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-09
DOI
https://doi.org/10.5281/zenodo.13750504
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sycosoter Picard & Lichtenstein 1917

Zenodo (CERN European Organization for Nuclear Research)
Forest Insect Ecology and Management
article

Sycosoter Picard & Lichtenstein 1917

article en

Abstract

Genus Sycosoter Picard & Lichtenstein, 1917 Sycosoter Picard & Lichtenstein, 1917: 285; Gebiola et al. 2015: 607 (restoration from synonymy); Yu et al. 2016; Belokobylskij & Lin 2020: 24. Type species. Sycosoter lavagnei Picard & Lichtenstein, 1917. Hosts. Coleoptera: Bostrichidae, Curculionidae (Scolytinae). Distribution. Australasian, Oriental and Palaearctic Regions.

Zenodo (CERN European Organization for Nuclear Research)
Naturalis Biodiversity Center (NL), Natural History Museum (GB), Zoological Institute (RU), National Bureau of Agricultural Insect Resources (IN)
Life in Land
Openalex Percentile: Top 46%
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.