Comparative radiosensitivity of morphometric, physiological and signaling parameters in wheat plants

The key result is the discovery that the highest sensitivity to radiation was demonstrated by signals, rather than traditionally measured morphometric and physiological indicators. This discovery is important for solving the problems of space biology, explaining the behavior of plants in areas contaminated with radionuclides, and for the targeted breeding of radioresistant plants.

Authors

Institutions

Publication Details

Journal
International Journal of Radiation Biology
Published
2026-03-23
DOI
https://doi.org/10.1080/09553002.2026.2645916
Primary Topic
Radioactive contamination and transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative radiosensitivity of morphometric, physiological and signaling parameters in wheat plants

Vladimir Vodeneev, Marina Grinberg, P. A. Pirogova, Angelina Ivanova et al.
International Journal of Radiation Biology
Radioactive contamination and transfer
article

Comparative radiosensitivity of morphometric, physiological and signaling parameters in wheat plants

Vladimir Vodeneev, Marina Grinberg, P. A. Pirogova, Angelina Ivanova, Dmitry Skamnitskiy, Yulia Nemtsova
article en

Abstract

The key result is the discovery that the highest sensitivity to radiation was demonstrated by signals, rather than traditionally measured morphometric and physiological indicators. This discovery is important for solving the problems of space biology, explaining the behavior of plants in areas contaminated with radionuclides, and for the targeted breeding of radioresistant plants.

International Journal of Radiation Biology
Nizhny Novgorod Regional Clinical Oncology Center (RU), Geophysical Division of the Earth Science Institute of the Slovak Academy of Sciences (SK), N. I. Lobachevsky State University of Nizhny Novgorod (RU)
Openalex Percentile: Top 12%
Radioactive contamination and transfer
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.