Retrospective Reconstruction of Biological Dose in Early Radiation Accident Cases Through Chromosomal Translocations Analysis Using G-Banding

The G-banding approach, characterized by its simplicity and low cost, is feasible for analyzing chromosomal translocations and retrospectively reconstructing the biological dose of early radiation accidents.

Authors

Institutions

Publication Details

Journal
Health Physics
Published
2026-01-28
DOI
https://doi.org/10.1097/hp.0000000000002096
Primary Topic
Carcinogens and Genotoxicity Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Retrospective Reconstruction of Biological Dose in Early Radiation Accident Cases Through Chromosomal Translocations Analysis Using G-Banding

Q Liu, Ping Wang, Yumin Lyu, Yu Gao et al.
Health Physics
Carcinogens and Genotoxicity Assessment
article

Retrospective Reconstruction of Biological Dose in Early Radiation Accident Cases Through Chromosomal Translocations Analysis Using G-Banding

Q Liu, Ping Wang, Yumin Lyu, Yu Gao, Fengling Zhao, Jie Li, Lin Han
article en

Abstract

The G-banding approach, characterized by its simplicity and low cost, is feasible for analyzing chromosomal translocations and retrospectively reconstructing the biological dose of early radiation accidents.

Health PhysicsVol. 130(3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Third Affiliated Hospital of Zhengzhou University (CN)
Good health and well-being
Openalex Percentile: Top 70%
Carcinogens and Genotoxicity Assessment
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.