George E. Johnson

3.8k total citations
95 papers, 2.5k citations indexed

About

George E. Johnson is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, George E. Johnson has authored 95 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cancer Research, 41 papers in Molecular Biology and 39 papers in Health, Toxicology and Mutagenesis. Recurrent topics in George E. Johnson's work include Carcinogens and Genotoxicity Assessment (65 papers), Effects and risks of endocrine disrupting chemicals (29 papers) and DNA Repair Mechanisms (26 papers). George E. Johnson is often cited by papers focused on Carcinogens and Genotoxicity Assessment (65 papers), Effects and risks of endocrine disrupting chemicals (29 papers) and DNA Repair Mechanisms (26 papers). George E. Johnson collaborates with scholars based in United Kingdom, United States and Canada. George E. Johnson's co-authors include Shareen H. Doak, Gareth Jenkins, Paul A. White, Lya G. Soeteman‐Hernández, Emma Quick, Elizabeth M. Parry, James M. Parry, Wout Slob, Jan van Benthem and John W. Wills and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

George E. Johnson

89 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George E. Johnson United Kingdom 30 1.5k 1.1k 883 571 157 95 2.5k
B. Bhaskar Gollapudi United States 28 1.3k 0.8× 1.0k 0.9× 857 1.0× 551 1.0× 193 1.2× 142 2.6k
Véronique Thybaud France 24 1.3k 0.9× 821 0.7× 655 0.7× 567 1.0× 177 1.1× 42 2.0k
David H. Blakey Canada 22 1.2k 0.8× 780 0.7× 648 0.7× 599 1.0× 128 0.8× 45 2.2k
Masamitsu Honma Japan 33 1.6k 1.0× 1.9k 1.8× 598 0.7× 701 1.2× 168 1.1× 192 3.7k
Akihiro Wakata Japan 14 1.1k 0.7× 598 0.5× 636 0.7× 415 0.7× 88 0.6× 23 1.6k
Silvio Albertini Switzerland 24 1.1k 0.7× 1.0k 0.9× 591 0.7× 502 0.9× 191 1.2× 50 2.3k
M. Vijayaraj Reddy United States 26 2.3k 1.5× 1.5k 1.4× 1.3k 1.4× 478 0.8× 83 0.5× 52 3.7k
L S Gold United States 23 1.5k 1.0× 1.2k 1.1× 876 1.0× 426 0.7× 125 0.8× 27 3.6k
Stephen D. Dertinger United States 42 2.6k 1.7× 2.1k 1.9× 1.4k 1.6× 766 1.3× 319 2.0× 152 4.7k
Michael F. Salamone Canada 15 1.4k 0.9× 693 0.6× 756 0.9× 633 1.1× 70 0.4× 28 2.3k

Countries citing papers authored by George E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by George E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George E. Johnson. 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 George E. Johnson. The network helps show where George E. Johnson may publish in the future.

Co-authorship network of co-authors of George E. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of George E. Johnson. A scholar is included among the top collaborators of George E. Johnson 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 George E. Johnson. George E. Johnson 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
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Anthonissen, Roel, et al.. (2025). A benchmark concentration-based strategy for evaluating the combined effects of genotoxic compounds in TK6 cells. Archives of Toxicology. 99(4). 1581–1589.
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Johnson, George E.. (2024). S06-02 Consideration of dose-response in the assessment of genotoxic carcinogens. Toxicology Letters. 399. S20–S20. 1 indexed citations
6.
Powley, Mark W., Zhanna Sobol, George E. Johnson, et al.. (2024). N-nitrosamine impurity risk assessment in pharmaceuticals: Utilizing In vivo mutation relative potency comparison to establish an acceptable intake for NTTP. Regulatory Toxicology and Pharmacology. 152. 105681–105681. 8 indexed citations
7.
Kobets, Tetyana, Christina Hickey, George E. Johnson, et al.. (2023). Assessment of no-observed-effect-levels for DNA adducts formation by genotoxic carcinogens in fetal turkey livers. Toxicology. 501. 153714–153714.
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Bercu, Joel P., George E. Johnson, Andreas Czich, et al.. (2021). Use of less-than-lifetime (LTL) durational limits for nitrosamines: Case study of N-Nitrosodiethylamine (NDEA). Regulatory Toxicology and Pharmacology. 123. 104926–104926. 20 indexed citations
9.
Dertinger, Stephen D., et al.. (2021). The use of benchmark dose uncertainty measurements for robust comparative potency analyses. Environmental and Molecular Mutagenesis. 62(3). 203–215. 5 indexed citations
10.
Johnson, George E., et al.. (2021). An Audit of All Waste Leaving the Operating Room: Can the Surgical Suite Be More Environmentally Sustainable?. World Medical & Health Policy. 13(1). 126–136. 12 indexed citations
11.
Dertinger, Stephen D., et al.. (2020). Benchmark Dose Analysis of DNA Damage Biomarker Responses Provides Compound Potency and Adverse Outcome Pathway Information for the Topoisomerase II Inhibitor Class of Compounds. Environmental and Molecular Mutagenesis. 61(4). 396–407. 13 indexed citations
12.
Chapman, Katherine E., Fiona Chapman, Ume-Kulsoom Shah, et al.. (2020). Multiple-endpoint in vitro carcinogenicity test in human cell line TK6 distinguishes carcinogens from non-carcinogens and highlights mechanisms of action. Archives of Toxicology. 95(1). 321–336. 8 indexed citations
13.
Shah, Ume-Kulsoom, Anna L. Seager, Paul Fowler, et al.. (2016). A comparison of the genotoxicity of benzo[ a ]pyrene in four cell lines with differing metabolic capacity. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 808. 8–19. 36 indexed citations
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Tate, Matthew, Anthony M. Lynch, Catherine A. Thornton, et al.. (2016). Development of anin vitro PIG-Agene mutation assay in human cells. Mutagenesis. 32(2). gew059–gew059. 15 indexed citations
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White, Paul A. & George E. Johnson. (2016). Genetic toxicology at the crossroads—from qualitative hazard evaluation to quantitative risk assessment. Mutagenesis. 31(3). 233–237. 22 indexed citations
16.
Modabber, Farrokh, et al.. (2015). A Review: The Current In Vivo Models for the Discovery and Utility of New Anti-leishmanial Drugs Targeting Cutaneous Leishmaniasis. PLoS neglected tropical diseases. 9(9). e0003889–e0003889. 78 indexed citations
17.
Klapacz, Joanna, Lynn H. Pottenger, Bevin P. Engelward, et al.. (2015). Contributions of DNA repair and damage response pathways to the non-linear genotoxic responses of alkylating agents. Mutation Research/Reviews in Mutation Research. 767. 77–91. 37 indexed citations
18.
Tweats, David, George E. Johnson, Ivan Scandale, James Whitwell, & Dean B. Evans. (2015). Genotoxicity of flubendazole and its metabolitesin vitroand the impact of a new formulation onin vivoaneugenicity. Mutagenesis. 31(3). 309–321. 26 indexed citations
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Soeteman‐Hernández, Lya G., Mick D. Fellows, George E. Johnson, & Wout Slob. (2015). Correlation ofIn  VivoVersusIn VitroBenchmark Doses (BMDs) Derived From Micronucleus Test Data: A Proof of Concept Study. Toxicological Sciences. 148(2). 355–367. 23 indexed citations
20.
Jenkins, Gareth, Zoulikha M. Zaïr, George E. Johnson, & Shareen H. Doak. (2009). Genotoxic thresholds, DNA repair, and susceptibility in human populations. Toxicology. 278(3). 305–310. 28 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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