Ian R. Radford

2.0k total citations
41 papers, 1.8k citations indexed

About

Ian R. Radford is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ian R. Radford has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Ian R. Radford's work include DNA Repair Mechanisms (24 papers), Carcinogens and Genotoxicity Assessment (16 papers) and Effects of Radiation Exposure (12 papers). Ian R. Radford is often cited by papers focused on DNA Repair Mechanisms (24 papers), Carcinogens and Genotoxicity Assessment (16 papers) and Effects of Radiation Exposure (12 papers). Ian R. Radford collaborates with scholars based in Australia, United States and Sweden. Ian R. Radford's co-authors include G. S. Hodgson, Pierluigi Nicotera, Mats Harms‐Ringdahl, Sarah Ellis, Roger F. Martin, Pavel Lobachevsky, Helen B. Forrester, B Endlich, William C. Dewey and Jane Matthews and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Ian R. Radford

41 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian R. Radford Australia 22 1.4k 687 485 425 295 41 1.8k
Hiroshi Utsumi Japan 22 1.6k 1.2× 624 0.9× 469 1.0× 537 1.3× 350 1.2× 62 2.3k
Gabriel E. Pantelias Greece 30 1.9k 1.4× 1.1k 1.6× 474 1.0× 402 0.9× 392 1.3× 80 2.6k
James Evans United States 21 1.4k 1.0× 797 1.2× 204 0.4× 493 1.2× 255 0.9× 64 2.2k
F. Mauro Italy 22 388 0.3× 421 0.6× 334 0.7× 323 0.8× 299 1.0× 68 1.4k
Jochen Dahm‐Daphi Germany 26 1.2k 0.9× 397 0.6× 262 0.5× 776 1.8× 356 1.2× 45 1.7k
Odilia Popanda Germany 30 1.7k 1.3× 775 1.1× 561 1.2× 577 1.4× 340 1.2× 72 2.5k
W. L. Bigbee United States 17 1.1k 0.8× 513 0.7× 302 0.6× 197 0.5× 69 0.2× 33 1.6k
Georgia I. Terzoudi Greece 21 874 0.6× 486 0.7× 357 0.7× 212 0.5× 299 1.0× 53 1.3k
R.E. Meyn United States 26 1.4k 1.0× 462 0.7× 331 0.7× 809 1.9× 217 0.7× 45 2.2k
Martin H. Schneiderman United States 18 929 0.7× 212 0.3× 220 0.5× 173 0.4× 151 0.5× 37 1.3k

Countries citing papers authored by Ian R. Radford

Since Specialization
Citations

This map shows the geographic impact of Ian R. Radford's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ian R. Radford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian R. Radford more than expected).

Fields of papers citing papers by Ian R. Radford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian R. Radford. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ian R. Radford. The network helps show where Ian R. Radford may publish in the future.

Co-authorship network of co-authors of Ian R. Radford

This figure shows the co-authorship network connecting the top 25 collaborators of Ian R. Radford. A scholar is included among the top collaborators of Ian R. Radford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian R. Radford. Ian R. Radford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sprung, Carl N., et al.. (2007). Uncoupling of telomere length and radiosensitivity in mouse lymphoma cell lines of similar genetic background. International Journal of Radiation Biology. 83(8). 515–521. 7 indexed citations
2.
Lobachevsky, Pavel & Ian R. Radford. (2006). Intestinal crypt properties fit a model that incorporates replicative ageing and deep and proximate stem cells. Cell Proliferation. 39(5). 379–402. 10 indexed citations
3.
Radford, Ian R. & Pavel Lobachevsky. (2006). An enteroendocrine cell‐based model for a quiescent intestinal stem cell niche. Cell Proliferation. 39(5). 403–414. 20 indexed citations
4.
Forrester, Helen B. & Ian R. Radford. (2004). Ionizing radiation‐induced chromosomal rearrangements occur in transcriptionally active regions of the genome. International Journal of Radiation Biology. 80(10). 757–767. 10 indexed citations
5.
Radford, Ian R.. (2004). Chromosomal rearrangement as the basis for human tumourigenesis. International Journal of Radiation Biology. 80(8). 543–557. 11 indexed citations
6.
Radford, Ian R.. (2002). Transcription-based model for the induction of interchromosomal exchange events by ionizing irradiation in mammalian cell lines that undergo necrosis. International Journal of Radiation Biology. 78(12). 1081–1093. 21 indexed citations
7.
8.
Endlich, B, Ian R. Radford, Helen B. Forrester, & William C. Dewey. (2000). Computerized Video Time-Lapse Microscopy Studies of Ionizing Radiation-Induced Rapid-Interphase and Mitosis-Related Apoptosis in Lymphoid Cells. Radiation Research. 153(1). 36–48. 53 indexed citations
9.
10.
Harms‐Ringdahl, Mats, Pierluigi Nicotera, & Ian R. Radford. (1996). Radiation induced apoptosis. Mutation Research/Reviews in Genetic Toxicology. 366(2). 171–179. 80 indexed citations
11.
12.
Radford, Ian R.. (1994). Radiation Response of Mouse Lymphoid and Myeloid Cell Lines. Part I. Sensitivity to Killing by Ionizing Radiation, Rate of Loss of Viability, and Cell Type of Origin. International Journal of Radiation Biology. 65(2). 203–215. 45 indexed citations
13.
Radford, Ian R.. (1994). P53 Status, DNA Double-strand Break Repair Proficiency, and Radiation Response of Mouse Lymphoid and Myeloid Cell Lines. International Journal of Radiation Biology. 66(5). 557–560. 36 indexed citations
14.
Radford, Ian R.. (1994). Phorbol Esters Can Protect Mouse Pre-T Cell Lines from Radiation-induced Rapid Interphase Apoptosis. International Journal of Radiation Biology. 65(3). 345–355. 18 indexed citations
15.
16.
Radford, Ian R., G. S. Hodgson, & Jane Matthews. (1988). Critical DNA Target Size Model of Ionizing Radiation-induced Mammalian Cell Death. International Journal of Radiation Biology. 54(1). 63–79. 38 indexed citations
17.
Radford, Ian R.. (1988). The Dose—response for Low-LET Radiation-induced DNA Double-strand Breakage: Methods of Measurement and Implications for Radiation Action Models. International Journal of Radiation Biology. 54(1). 1–11. 47 indexed citations
18.
Radford, Ian R., et al.. (1986). Enhanced Induction by X-irradiation of DNA Double-strand Breakage in Mitotic as Compared with S-phase V79 Cells. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 49(6). 909–914. 31 indexed citations
19.
Radford, Ian R.. (1985). Effect of Radiomodifying Agents on the Ratios of X-ray-induced Lesions in Cellular DNA: Use in Lethal Lesion Determination. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 49(4). 621–637. 66 indexed citations
20.
Radford, Ian R.. (1985). The Level of Induced DNA Double-strand Breakage Correlates with Cell Killing after X-irradiation. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 48(1). 45–54. 265 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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