Martin B. Phillips

657 total citations
19 papers, 438 citations indexed

About

Martin B. Phillips is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Martin B. Phillips has authored 19 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 6 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Martin B. Phillips's work include Effects and risks of endocrine disrupting chemicals (10 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Computational Drug Discovery Methods (5 papers). Martin B. Phillips is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (10 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Computational Drug Discovery Methods (5 papers). Martin B. Phillips collaborates with scholars based in United States, Germany and South Korea. Martin B. Phillips's co-authors include Lisa A. Peterson, Yu‐Mei Tan, Jon R. Sobus, Miyoung Yoon, Harvey J. Clewell, Krista Christensen, Peter W. Villalta, Stephen W. Edwards, Barbara Jane George and Jeremy A. Leonard and has published in prestigious journals such as Environmental Health Perspectives, Chemosphere and Environment International.

In The Last Decade

Martin B. Phillips

19 papers receiving 433 citations

Peers

Martin B. Phillips
Jerry N. Blancato United States
C. Eric Hack United States
Marjory Moreau United States
Kirk Arvidson United States
Christopher S. Mazur United States
Martin B. Phillips
Citations per year, relative to Martin B. Phillips Martin B. Phillips (= 1×) peers Camille Béchaux

Countries citing papers authored by Martin B. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Martin B. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin B. Phillips

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

All Works

19 of 19 papers shown
1.
Bronson, K. F., Salil N. Pendse, Alina Efremenko, et al.. (2020). The TTC Data Mart: An interactive browser for threshold of toxicological concern calculations. Computational Toxicology. 15. 100128–100128. 3 indexed citations
2.
Moreau, Marjory, Kamel Mansouri, Saad Haider, et al.. (2019). The role of fit-for-purpose assays within tiered testing approaches: A case study evaluating prioritized estrogen-active compounds in an in vitro human uterotrophic assay. Toxicology and Applied Pharmacology. 387. 114774–114774. 15 indexed citations
3.
Phillips, Martin B., Jeffrey R. Enders, Jenny M. Pedersen, et al.. (2018). Xenobiotic Metabolism in Alginate-Encapsulated Primary Human Hepatocytes Over Long Timeframes. 4(3). 238–247. 6 indexed citations
4.
McMullen, Patrick D., Melvin E. Andersen, Harvey J. Clewell, et al.. (2018). Evaluating opportunities for advancing the use of alternative methods in risk assessment through the development of fit-for-purpose in vitro assays. Toxicology in Vitro. 48. 310–317. 26 indexed citations
5.
Campbell, Jerry L., Miyoung Yoon, Hermann Fromme, et al.. (2018). Excretion of Di-2-ethylhexyl phthalate (DEHP) metabolites in urine is related to body mass index because of higher energy intake in the overweight and obese. Environment International. 113. 91–99. 32 indexed citations
6.
Moreau, Marjory, Jeremy A. Leonard, Katherine A. Phillips, et al.. (2017). Using exposure prediction tools to link exposure and dosimetry for risk-based decisions: A case study with phthalates. Chemosphere. 184. 1194–1201. 23 indexed citations
7.
Lee, Seungho, Yu‐Mei Tan, Martin B. Phillips, Jon R. Sobus, & Sungkyoon Kim. (2017). Estimating Methylmercury Intake for the General Population of South Korea Using Physiologically Based Pharmacokinetic Modeling. Toxicological Sciences. 159(1). 6–15. 8 indexed citations
8.
Lu, Jingtao, Michael‐Rock Goldsmith, Chris Grulke, et al.. (2016). Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLoS Computational Biology. 12(2). e1004495–e1004495. 34 indexed citations
9.
Pedersen, Jenny M., Martin B. Phillips, Jeffrey M. Macdonald, et al.. (2016). Fluid Dynamic Modeling to Support the Development of Flow-Based Hepatocyte Culture Systems for Metabolism Studies. Frontiers in Bioengineering and Biotechnology. 4. 72–72. 15 indexed citations
10.
Sobus, Jon R., Robert S. DeWoskin, Yu‐Mei Tan, et al.. (2015). Uses of NHANES Biomarker Data for Chemical Risk Assessment: Trends, Challenges, and Opportunities. Environmental Health Perspectives. 123(10). 919–927. 70 indexed citations
11.
Phillips, Martin B., Jeremy A. Leonard, Chris Grulke, et al.. (2015). A Workflow to Investigate Exposure and Pharmacokinetic Influences on High-Throughput in Vitro Chemical Screening Based on Adverse Outcome Pathways. Environmental Health Perspectives. 124(1). 53–60. 23 indexed citations
12.
Brown, Kathleen C., Martin B. Phillips, Chris Grulke, et al.. (2015). Reconstructing exposures from biomarkers using exposure-pharmacokinetic modeling – A case study with carbaryl. Regulatory Toxicology and Pharmacology. 73(3). 689–698. 13 indexed citations
14.
Phillips, Martin B., et al.. (2014). Analysis of biomarker utility using a PBPK/PD model for carbaryl. Frontiers in Pharmacology. 5. 246–246. 6 indexed citations
15.
Phillips, Martin B., Jon R. Sobus, Barbara Jane George, et al.. (2014). A new method for generating distributions of biomonitoring equivalents to support exposure assessment and prioritization. Regulatory Toxicology and Pharmacology. 69(3). 434–442. 11 indexed citations
16.
Gates, Leah, Martin B. Phillips, Brock Matter, & Lisa A. Peterson. (2014). Comparative Metabolism of Furan in Rodent and Human Cryopreserved Hepatocytes. Drug Metabolism and Disposition. 42(7). 1132–1136. 19 indexed citations
17.
Phillips, Martin B., et al.. (2013). Covalent Modification of Cytochrome c by Reactive Metabolites of Furan. Chemical Research in Toxicology. 27(1). 129–135. 35 indexed citations
18.
Peterson, Lisa A., et al.. (2011). Polyamines Are Traps for Reactive Intermediates in Furan Metabolism. Chemical Research in Toxicology. 24(11). 1924–1936. 27 indexed citations
19.
Phillips, Martin B., et al.. (2009). Degraded Protein Adducts of cis-2-Butene-1,4-dial Are Urinary and Hepatocyte Metabolites of Furan. Chemical Research in Toxicology. 22(6). 997–1007. 48 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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