Kevin P. Cross

1.9k total citations
41 papers, 735 citations indexed

About

Kevin P. Cross is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology. According to data from OpenAlex, Kevin P. Cross has authored 41 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 11 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Kevin P. Cross's work include Computational Drug Discovery Methods (19 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Analytical Chemistry and Chromatography (8 papers). Kevin P. Cross is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Analytical Chemistry and Chromatography (8 papers). Kevin P. Cross collaborates with scholars based in United States, United Kingdom and Italy. Kevin P. Cross's co-authors include Paul E. Blower, Glenn J. Myatt, David J. Ponting, Luis G. Valerio, Chihae Yang, William Fisanick, Andrew Rusinko, David M. DeMarini, Lidiya Stavitskaya and Patricia A. Escobar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Toxicology and Applied Pharmacology.

In The Last Decade

Kevin P. Cross

38 papers receiving 685 citations

Peers

Kevin P. Cross
Wolfgang Muster Switzerland
Susanne Glowienke Switzerland
Laura Custer United States
Ivanka Tsakovska Bulgaria
Krista L. Dobo United States
Roustem Saiakhov United States
Carol A. Marchant United Kingdom
Alexander Amberg Germany
Andreas Czich Germany
Todor Pavlov Bulgaria
Wolfgang Muster Switzerland
Kevin P. Cross
Citations per year, relative to Kevin P. Cross Kevin P. Cross (= 1×) peers Wolfgang Muster

Countries citing papers authored by Kevin P. Cross

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Cross. 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 Kevin P. Cross. The network helps show where Kevin P. Cross may publish in the future.

Co-authorship network of co-authors of Kevin P. Cross

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Cross. A scholar is included among the top collaborators of Kevin P. Cross 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 Kevin P. Cross. Kevin P. Cross 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.
Bassan, Arianna, Kevin P. Cross, Xinning Yang, et al.. (2025). Novel (Q)SAR models for prediction of reversible and time-dependent inhibition of cytochrome P450 enzymes. Frontiers in Pharmacology. 15. 1451164–1451164. 1 indexed citations
2.
3.
Snodin, David J., Alejandra Trejo‐Martin, David J. Ponting, et al.. (2024). Mechanisms of Nitrosamine Mutagenicity and Their Relationship to Rodent Carcinogenic Potency. Chemical Research in Toxicology. 37(2). 181–198. 28 indexed citations
4.
Crosby, Lynn M., et al.. (2024). Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects. Regulatory Toxicology and Pharmacology. 149. 105591–105591. 2 indexed citations
5.
Cross, Kevin P. & David M. DeMarini. (2023). Analysis of chemical structures and mutations detected by Salmonella TA98 and TA100. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 827. 111838–111838. 8 indexed citations
6.
Cross, Kevin P., Candice Johnson, & Glenn J. Myatt. (2022). Implementation of In Silico Toxicology Protocols in Leadscope. Methods in molecular biology. 2425. 419–434. 2 indexed citations
7.
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
8.
Myatt, Glenn J., Arianna Bassan, Dave Bower, et al.. (2021). Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform. Computational Toxicology. 21. 100201–100201. 3 indexed citations
9.
Johnson, Candice, Lennart T. Anger, Romualdo Benigni, et al.. (2021). Evaluating confidence in toxicity assessments based on experimental data and in silico predictions. Computational Toxicology. 21. 100204–100204. 10 indexed citations
10.
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
11.
Kruhlak, Naomi L., et al.. (2020). Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay. Regulatory Toxicology and Pharmacology. 113. 104620–104620. 12 indexed citations
12.
Hasselgren, Catrin, Joel P. Bercu, Kevin P. Cross, et al.. (2020). Management of pharmaceutical ICH M7 (Q)SAR predictions – The impact of model updates. Regulatory Toxicology and Pharmacology. 118. 104807–104807. 26 indexed citations
13.
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
14.
Kim, Marlene T., Naomi L. Kruhlak, Kevin P. Cross, et al.. (2019). Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses. Regulatory Toxicology and Pharmacology. 109. 104488–104488. 21 indexed citations
15.
Cross, Kevin P., et al.. (2015). Delivering an Automated and Integrated Approach to Combination Screening Using Acoustic-Droplet Technology. SLAS TECHNOLOGY. 21(1). 143–152. 5 indexed citations
16.
Kohonen, Pekka, Emilio Benfenati, Rebecca Ceder, et al.. (2013). The ToxBank Data Warehouse: Supporting the Replacement of In Vivo Repeated Dose Systemic Toxicity Testing. Molecular Informatics. 32(1). 47–63. 24 indexed citations
17.
Valerio, Luis G. & Kevin P. Cross. (2012). Characterization and validation of an in silico toxicology model to predict the mutagenic potential of drug impurities*. Toxicology and Applied Pharmacology. 260(3). 209–221. 39 indexed citations
18.
19.
Blower, Paul E., Kevin P. Cross, Gabriel S. Eichler, et al.. (2006). Comparison of Methods for Sequential Screening of Large Compound Sets. Combinatorial Chemistry & High Throughput Screening. 9(2). 115–122. 6 indexed citations
20.
Blower, Paul E. & Kevin P. Cross. (2005). Decision Tree Methods in Pharmaceutical Research. Current Topics in Medicinal Chemistry. 6(1). 31–39. 19 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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