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Cited by 414

The DOI matches its Crossref record; 247 of the 247 references it cites were found in a registry or an index.

Cellular Pathways in Response to Ionizing Radiation and Their Targetability for Tumor Radiosensitization

Open access
Maier, Patrick, Hartmann, Linda, Wenz, Frederik, Herskind, Carsten·2016·International Journal of Molecular Sciences

Abstract

During the last few decades, improvements in the planning and application of radiotherapy in combination with surgery and chemotherapy resulted in increased survival rates of tumor patients. However, the success of radiotherapy is impaired by two reasons: firstly, the radioresistance of tumor cells and, secondly, the radiation-induced damage of normal tissue cells located in the field of ionizing radiation. These limitations demand the development of drugs for either radiosensitization of tumor cells or radioprotection of normal tissue cells. In order to identify potential targets, a detailed understanding of the cellular pathways involved in radiation response is an absolute requirement. This review describes the most important pathways of radioresponse and several key target proteins for radiosensitization.

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Crossref · 10.3390/ijms17010102

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Metadata

Authors
Maier, P., Hartmann, L., Wenz, F., & Herskind, C.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2016-01-14
Volume
17
Issue
1
Pages
102
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2238041893
Cited by
414
References
247
FWCI
30.49
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Cellular Pathways in Response to Ionizing Radiation and Their Targetability for Tumor Radiosensitization. https://app.cochat.ai/papers/10.3390/ijms17010102
The paper
Maier, P., Hartmann, L., Wenz, F., & Herskind, C. (2016). Cellular Pathways in Response to Ionizing Radiation and Their Targetability for Tumor Radiosensitization. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms17010102

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.