Jonathan Howe

497 total citations
9 papers, 156 citations indexed

About

Jonathan Howe is a scholar working on Cancer Research, Small Animals and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jonathan Howe has authored 9 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 4 papers in Small Animals and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jonathan Howe's work include Carcinogens and Genotoxicity Assessment (8 papers), Animal testing and alternatives (4 papers) and Genetically Modified Organisms Research (3 papers). Jonathan Howe is often cited by papers focused on Carcinogens and Genotoxicity Assessment (8 papers), Animal testing and alternatives (4 papers) and Genetically Modified Organisms Research (3 papers). Jonathan Howe collaborates with scholars based in United Kingdom, United States and Switzerland. Jonathan Howe's co-authors include Richard V. Williams, Leon F. Stankowski, David M. DeMarini, Errol Zeiger, Patricia A. Escobar, Kevin P. Cross, Rosalie K. Elespuru, Ulla Plappert‐Helbig, Mike O’Donovan and Andreas Rothfuß and has published in prestigious journals such as Archives of Toxicology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Regulatory Toxicology and Pharmacology.

In The Last Decade

Jonathan Howe

9 papers receiving 149 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Howe United Kingdom 6 103 60 51 44 28 9 156
Amanda Giddings United Kingdom 8 72 0.7× 45 0.8× 65 1.3× 27 0.6× 22 0.8× 10 198
Christian Pütz Germany 9 146 1.4× 179 3.0× 63 1.2× 27 0.6× 19 0.7× 15 353
P. Kasper Germany 8 121 1.2× 58 1.0× 91 1.8× 59 1.3× 37 1.3× 21 261
Catherine Priestley United Kingdom 9 157 1.5× 107 1.8× 149 2.9× 51 1.2× 28 1.0× 22 322
Hans‐Joerg Martus Switzerland 10 188 1.8× 94 1.6× 118 2.3× 83 1.9× 37 1.3× 19 357
Stephanie Melching‐Kollmuss Germany 12 54 0.5× 142 2.4× 32 0.6× 35 0.8× 17 0.6× 29 270
Sachiko Kitamoto Japan 7 92 0.9× 55 0.9× 114 2.2× 60 1.4× 12 0.4× 18 274
Sara C. Lloyd United Kingdom 7 96 0.9× 125 2.1× 76 1.5× 72 1.6× 18 0.6× 9 339
Clara Ersson Sweden 7 101 1.0× 71 1.2× 78 1.5× 16 0.4× 12 0.4× 7 205
Rositsa Serafimova Italy 8 46 0.4× 55 0.9× 37 0.7× 38 0.9× 24 0.9× 13 179

Countries citing papers authored by Jonathan Howe

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Howe

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

All Works

9 of 9 papers shown
1.
Ashford, A. E., Daniela Nachmanson, John W. Wills, et al.. (2025). Alignment between Duplex Sequencing and transgenic rodent mutation assay data in the assessment of in vivo NDMA-induced mutagenesis. Archives of Toxicology. 99(10). 4227–4242. 1 indexed citations
2.
Howe, Jonathan, James Harvey, Liangfu Chen, et al.. (2024). N-Nitrosodimethylamine investigations in Muta™Mouse define point-of-departure values and demonstrate less-than-additive somatic mutant frequency accumulations. Mutagenesis. 39(2). 96–118. 10 indexed citations
3.
4.
Bauer, Daniel, Lorrene A. Buckley, Heidrun Ellinger‐Ziegelbauer, et al.. (2021). A cross-industry survey on photosafety evaluation of pharmaceuticals after implementation of ICH S10. Regulatory Toxicology and Pharmacology. 125. 105017–105017. 4 indexed citations
5.
Schoeny, Rita, Kevin P. Cross, David M. DeMarini, et al.. (2020). Revisiting the bacterial mutagenicity assays: Report by a workgroup of the International Workshops on Genotoxicity Testing (IWGT). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 849. 503137–503137. 6 indexed citations
6.
Williams, Richard V., David M. DeMarini, Leon F. Stankowski, et al.. (2019). Are all bacterial strains required by OECD mutagenicity test guideline TG471 needed?. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 848. 503081–503081. 47 indexed citations
7.
Doherty, Ann, Melanie Guérard, Jonathan Howe, et al.. (2014). Performance and data interpretation of the in vivo comet assay in pharmaceutical industry: EFPIA survey results. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 775-776. 81–88. 9 indexed citations
8.
9.
Rothfuß, Andreas, Andreas Czich, Marilyn J. Aardema, et al.. (2010). Improvement of in vivo genotoxicity assessment: Combination of acute tests and integration into standard toxicity testing. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 723(2). 108–120. 70 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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