Adolescent childhood cancer survivors talking about cancer: A socioecological perspective

A multilayered approach involving ACCSs, parents, educators, school peers, and the broader community is essential for enhancing communication about cancer within this population.

Authors

Institutions

Publication Details

Journal
Asia-Pacific Journal of Oncology Nursing
Published
2025-02-22
DOI
https://doi.org/10.1016/j.apjon.2025.100676
Citations
1
Primary Topic
Childhood Cancer Survivors' Quality of Life
Type
article
Field-Weighted Citation Impact
3.49

Funders

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

Adolescent childhood cancer survivors talking about cancer: A socioecological perspective

Kanako Morifuji, Kazuaki Tanabe, N Honda, Y. Funakoshi et al.
1 citations
Asia-Pacific Journal of Oncology Nursing
Childhood Cancer Survivors' Quality of Life
3.49
article

Adolescent childhood cancer survivors talking about cancer: A socioecological perspective

Kanako Morifuji, Kazuaki Tanabe, N Honda, Y. Funakoshi, Yuki Matuishi
article en
1 citations

Abstract

A multilayered approach involving ACCSs, parents, educators, school peers, and the broader community is essential for enhancing communication about cancer within this population.

Asia-Pacific Journal of Oncology NursingVol. 12
Hiroshima University (JP), University of Nagasaki (JP), Nagasaki Institute of Applied Science (JP), Nagasaki University Hospital (JP), Nagasaki University (JP)
Japan Society for the Promotion of Science
Gender equality
Openalex Percentile: Top 12%
Childhood Cancer Survivors' Quality of Life
3.49
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.