William B. Mattes

3.8k total citations
74 papers, 2.2k citations indexed

About

William B. Mattes is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, William B. Mattes has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Oncology and 13 papers in Pharmacology. Recurrent topics in William B. Mattes's work include DNA Repair Mechanisms (10 papers), Drug-Induced Hepatotoxicity and Protection (10 papers) and Pharmacogenetics and Drug Metabolism (9 papers). William B. Mattes is often cited by papers focused on DNA Repair Mechanisms (10 papers), Drug-Induced Hepatotoxicity and Protection (10 papers) and Pharmacogenetics and Drug Metabolism (9 papers). William B. Mattes collaborates with scholars based in United States, Switzerland and Germany. William B. Mattes's co-authors include John A. Hartley, Kurt W. Kohn, Anthony T. Yeung, Lawrence I. Grossman, Euk Y. Oh, Federico Goodsaid, Xi Yang, Donna L. Mendrick, Qiang Shi and Felix W. Frueh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

William B. Mattes

73 papers receiving 2.1k citations

Peers

William B. Mattes

ONCOL

PHARM

Lesley A. Stanley United Kingdom

Reiko Watanabe Japan

Zunnan Huang China

Nam Doo Kim South Korea

Lushan Yu China

Marina Ignatushchenko United States

Andrew F.G. Slater Sweden

J M Trzaskos United States

Adam Yasgar United States

Yaron Turpaz United States

Lesley A. Stanley United Kingdom

William B. Mattes

723 ×0.5

303 ×1.0

367 ×1.3

ONCOL

452 ×1.9

PHARM

151 ×0.7

Citations per year, relative to William B. Mattes William B. Mattes (= 1×) peers Lesley A. Stanley

Countries citing papers authored by William B. Mattes

Since Specialization

Citations

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

Fields of papers citing papers by William B. Mattes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Mattes. 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 William B. Mattes. The network helps show where William B. Mattes may publish in the future.

Co-authorship network of co-authors of William B. Mattes

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

All Works

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20 of 20 papers shown

Shi, Qiang, Lijun Ren, Xi Yang, et al.. (2025). Pexidartinib impairs liver mitochondrial functions causing cell death in primary human hepatocytes at clinically relevant concentrations. Biochemical and Biophysical Research Communications. 773. 152075–152075. 1 indexed citations

Slavov, Svetoslav, William B. Mattes, & Richard D. Beger. (2020). Determination of structural factors affecting binding to mu, kappa and delta opioid receptors. Archives of Toxicology. 94(4). 1215–1227. 1 indexed citations

Shi, Qiang, Xi Yang, Lijun Ren, & William B. Mattes. (2020). Recent advances in understanding the hepatotoxicity associated with protein kinase inhibitors. Expert Opinion on Drug Metabolism & Toxicology. 16(3). 217–226. 14 indexed citations

Chen, Geng, Jiwei Chen, Huanlong Liu, et al.. (2019). Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data. Frontiers in Cell and Developmental Biology. 7. 299–299. 18 indexed citations

Slavov, Svetoslav, et al.. (2018). Computational identification of structural factors affecting the mutagenic potential of aromatic amines: study design and experimental validation. Archives of Toxicology. 92(7). 2369–2384. 7 indexed citations

Zhang, Jun, Lijun Ren, Xi Yang, et al.. (2018). Cytotoxicity of 34 FDA approved small-molecule kinase inhibitors in primary rat and human hepatocytes. Toxicology Letters. 291. 138–148. 23 indexed citations

Sistare, Frank D., William B. Mattes, & Edward L. LeCluyse. (2016). The Promise of New Technologies to Reduce, Refine, or Replace Animal Use while Reducing Risks of Drug Induced Liver Injury in Pharmaceutical Development. ILAR Journal. 57(2). 186–211. 26 indexed citations

Zhang, Jun, Alec T. Salminen, Xi Yang, et al.. (2016). Effects of 31 FDA approved small-molecule kinase inhibitors on isolated rat liver mitochondria. Archives of Toxicology. 91(8). 2921–2938. 74 indexed citations

Yang, Xi, William F. Salminen, Qiang Shi, et al.. (2015). Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children. Toxicology and Applied Pharmacology. 284(2). 180–187. 60 indexed citations

10.

Mattes, William B., Kelly J. Davis, Eric Fabian, et al.. (2014). Detection of hepatotoxicity potential with metabolite profiling (metabolomics) of rat plasma. Toxicology Letters. 230(3). 467–478. 58 indexed citations

11.

Buzatu, Dan A., et al.. (2014). An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification. PLoS ONE. 9(4). e94254–e94254. 35 indexed citations

12.

Mattes, William B., et al.. (2009). Translational Toxicology and the Work of the Predictive Safety Testing Consortium. Clinical Pharmacology & Therapeutics. 85(3). 327–330. 23 indexed citations

13.

Mattes, William B.. (2006). Cross-species comparative toxicogenomics as an aid to safety assessment. Expert Opinion on Drug Metabolism & Toxicology. 2(6). 859–874. 7 indexed citations

14.

Mattes, William B., et al.. (2006). Tissue and species distribution of the glutathione pathway transcriptome. Xenobiotica. 36(10-11). 1081–1121. 15 indexed citations

15.

Mattes, William B., Syril Pettit, Susanna‐Assunta Sansone, Pierre R. Bushel, & Michael D. Waters. (2004). DATABASE DEVELOPMENT IN TOXICOGENOMICS: ISSUES AND EFFORTS. Environmental Health Perspectives. 5 indexed citations

16.

Harbach, P.R., et al.. (1999). Spontaneous mutation spectrum at the lambdacII locus in liver, lung, and spleen tissue of Big Blue� transgenic mice. Environmental and Molecular Mutagenesis. 33(2). 132–143. 57 indexed citations

17.

Zhao, Zhiyang, Kenneth A. Koeplinger, Guy E. Padbury, et al.. (1997). Contribution of serum protein association to discrepancy between the in vivo and in vitro UDS results for 6,7-dimethyl-2,4-di-1-pyrrolidinyl-7H-pyrrolo[2,3-d]pyrimidine (U-89843). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 395(2-3). 119–126. 3 indexed citations

18.

Doweyko, Arthur M. & William B. Mattes. (1992). An application of 3D-QSAR to the analysis of the sequence specificity of DNA alkylation by uracil mustard. Biochemistry. 31(39). 9388–9392. 14 indexed citations

19.

Mattes, William B.. (1990). Lesion selectivity in blockage of lambda exonuclease by DNA damage. Nucleic Acids Research. 18(13). 3723–3730. 19 indexed citations

20.

Kohn, Kurt W., John A. Hartley, & William B. Mattes. (1988). Mechanisms of DNA sequence selective alkylation of guanine-N7 positions by nitrogen mustards. Biochemical Pharmacology. 37(9). 1799–1800. 13 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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