R. Stainforth

1.8k total citations
8 papers, 78 citations indexed

About

R. Stainforth is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research. According to data from OpenAlex, R. Stainforth has authored 8 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in R. Stainforth's work include Carcinogens and Genotoxicity Assessment (3 papers), Effects of Radiation Exposure (3 papers) and Radioactivity and Radon Measurements (2 papers). R. Stainforth is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Effects of Radiation Exposure (3 papers) and Radioactivity and Radon Measurements (2 papers). R. Stainforth collaborates with scholars based in Canada, United States and Norway. R. Stainforth's co-authors include Vinita Chauhan, Carole L. Yauk, Afshin Beheshti, Ruth C. Wilkins, Sylvain V. Costes, Willian A. da Silveira, Komal S. Rathi, J. Miller, J. Tyson McDonald and Andrew Williams and has published in prestigious journals such as Toxicological Sciences, Cancers and International Journal of Radiation Biology.

In The Last Decade

R. Stainforth

7 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Stainforth Canada	6	27	21	15	15	14	8	78
Ljubica Župunski Serbia	8	25 0.9×	14 0.7×	7 0.5×	5 0.3×	3 0.2×	13	125
Marie‐Thérèse Bihoreau United Kingdom	4	29 1.1×	21 1.0×	4 0.3×	7 0.5×	6 0.4×	5	77
Xilin Wu China	6	3 0.1×	28 1.3×	34 2.3×	5 0.3×	7 0.5×	17	127
Simon Mayes United Kingdom	3	38 1.4×	26 1.2×	1 0.1×	4 0.3×	20 1.4×	3	56
Shirley Park United States	6	3 0.1×	85 4.0×	5 0.3×	12 0.8×	3 0.2×	9	203
Z Dubská Czechia	5	25 0.9×	30 1.4×	56 3.7×	13 0.9×	2 0.1×	14	145
Tatiana Vasil'evna Nikonova Russia	5	4 0.1×	30 1.4×	22 1.5×	6 0.4×	6 0.4×	30	94
Ivan Balaščák Czechia	4	3 0.1×	15 0.7×	22 1.5×	12 0.8×	7 0.5×	4	58
Allison Tam United States	7	11 0.4×	30 1.4×	14 0.9×	5 0.3×		10	103
Diana Newman United States	5	31 1.1×	12 0.6×		5 0.3×	17 1.2×	6	58

Countries citing papers authored by R. Stainforth

Since Specialization

Citations

This map shows the geographic impact of R. Stainforth'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 R. Stainforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Stainforth more than expected).

Fields of papers citing papers by R. Stainforth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Stainforth. 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 R. Stainforth. The network helps show where R. Stainforth may publish in the future.

Co-authorship network of co-authors of R. Stainforth

This figure shows the co-authorship network connecting the top 25 collaborators of R. Stainforth. A scholar is included among the top collaborators of R. Stainforth 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 R. Stainforth. R. Stainforth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

O’Brien, Jason M., Constance A. Mitchell, Scott S. Auerbach, et al.. (2024). Bioinformatic workflows for deriving transcriptomic points of departure: current status, data gaps, and research priorities. Toxicological Sciences. 203(2). 147–159. 7 indexed citations

2.

Gaskin, Janet, et al.. (2024). Indoor radon trends with building code change in two Canadian cities. Journal of Environmental Radioactivity. 280. 107570–107570.

3.

Chauhan, Vinita, Ngoc Q. Vuong, Lynne T. Haber, et al.. (2023). Considerations for application of benchmark dose modeling in radiation research: workshop highlights. International Journal of Radiation Biology. 99(9). 1320–1331. 5 indexed citations

4.

Stainforth, R., Ngoc Q. Vuong, Byron Kuo, et al.. (2022). Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. International Journal of Radiation Biology. 98(12). 1832–1844. 7 indexed citations

5.

Stainforth, R., Jan Schuemann, Aimee L. McNamara, Ruth C. Wilkins, & Vinita Chauhan. (2020). Challenges in the quantification approach to a radiation relevant adverse outcome pathway for lung cancer. International Journal of Radiation Biology. 97(1). 85–101. 6 indexed citations

6.

McDonald, J. Tyson, R. Stainforth, J. Miller, et al.. (2020). NASA GeneLab Platform Utilized for Biological Response to Space Radiation in Animal Models. Cancers. 12(2). 381–381. 20 indexed citations

7.

Chauhan, Vinita, Byron Kuo, Andrew Williams, et al.. (2020). Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. International Journal of Radiation Biology. 97(1). 31–49. 6 indexed citations

8.

Chauhan, Vinita, et al.. (2019). A case example of a radiation-relevant adverse outcome pathway to lung cancer. International Journal of Radiation Biology. 97(1). 68–84. 27 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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