Brad Reisfeld

1.4k total citations
45 papers, 983 citations indexed

About

Brad Reisfeld is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Brad Reisfeld has authored 45 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmacology, 12 papers in Computational Theory and Mathematics and 9 papers in Molecular Biology. Recurrent topics in Brad Reisfeld's work include Computational Drug Discovery Methods (11 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Brad Reisfeld is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Brad Reisfeld collaborates with scholars based in United States, Thailand and France. Brad Reisfeld's co-authors include Arthur N. Mayeno, S. G. Bankoff, Raymond S. H. Yang, Todd J. Zurlinden, Manupat Lohitnavy, Ornrat Lohitnavy, Michael A. Lyons, Weihsueh A. Chiu, Nan‐Hung Hsieh and Wimonchat Tangamornsuksan and has published in prestigious journals such as Environmental Science & Technology, Bioinformatics and PLoS ONE.

In The Last Decade

Brad Reisfeld

44 papers receiving 953 citations

Peers

Brad Reisfeld

PHARM

HTM

CTM

Bin Ma China

Peter Veng‐Pedersen United States

Winnie Uritboonthai United States

Dieter M. Drexler United States

Stephen P Adams Canada

Peter S. Marshall United Kingdom

Paul B. Myrdal United States

Samir A. Salama Egypt

Qiao Xue China

Richard A. Morrison United States

Bin Ma China

Brad Reisfeld

577 ×2.3

267 ×1.4

PHARM

83 ×0.6

HTM

103 ×0.8

27 ×0.2

CTM

Citations per year, relative to Brad Reisfeld Brad Reisfeld (= 1×) peers Bin Ma

Countries citing papers authored by Brad Reisfeld

Since Specialization

Citations

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

Fields of papers citing papers by Brad Reisfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Reisfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Reisfeld. A scholar is included among the top collaborators of Brad Reisfeld 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 Brad Reisfeld. Brad Reisfeld 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

DeMarini, David M., Weihsueh A. Chiu, Kathryn Z. Guyton, et al.. (2025). Response to “Comment on ‘IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards’”. Environmental Health Perspectives. 1 indexed citations

Methaneethorn, Janthima, et al.. (2025). Methodological Techniques Used in Machine Learning to Support Individualized Drug Dosing Regimens Based on Pharmacokinetic Data: A Scoping Review. Clinical Pharmacokinetics. 64(9). 1295–1330.

Heath, Lenwood S., et al.. (2023). A deep-learning approach for identifying prospective chemical hazards. Toxicology. 501. 153708–153708. 4 indexed citations

Reisfeld, Brad, et al.. (2023). Adapting physiologically-based pharmacokinetic models for machine learning applications. Scientific Reports. 13(1). 14934–14934. 9 indexed citations

Bois, Frédéric Y., et al.. (2020). Well-tempered MCMC simulations for population pharmacokinetic models. Journal of Pharmacokinetics and Pharmacodynamics. 47(6). 543–559. 9 indexed citations

Hsieh, Nan‐Hung, Brad Reisfeld, & Weihsueh A. Chiu. (2020). pksensi: An R package to apply global sensitivity analysis in physiologically based kinetic modeling. SoftwareX. 12. 100609–100609. 10 indexed citations

Zurlinden, Todd J. & Brad Reisfeld. (2018). A Novel Method for the Development of Environmental Public Health Indicators and Benchmark Dose Estimation Using a Health-Based End Point for Chlorpyrifos. Environmental Health Perspectives. 126(4). 47009–47009. 5 indexed citations

Hsieh, Nan‐Hung, Brad Reisfeld, Frédéric Y. Bois, & Weihsueh A. Chiu. (2018). Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling. Frontiers in Pharmacology. 9. 588–588. 66 indexed citations

Zurlinden, Todd J. & Brad Reisfeld. (2016). Characterizing the Effects of Race/Ethnicity on Acetaminophen Pharmacokinetics Using Physiologically Based Pharmacokinetic Modeling. European Journal of Drug Metabolism and Pharmacokinetics. 42(1). 143–153. 14 indexed citations

10.

Tangamornsuksan, Wimonchat, Ornrat Lohitnavy, Nathorn Chaiyakunapruk, et al.. (2015). Additive Synergism between Asbestos and Smoking in Lung Cancer Risk: A Systematic Review and Meta-Analysis. PLoS ONE. 10(8). e0135798–e0135798. 66 indexed citations

11.

Zurlinden, Todd J. & Brad Reisfeld. (2015). Physiologically based modeling of the pharmacokinetics of acetaminophen and its major metabolites in humans using a Bayesian population approach. European Journal of Drug Metabolism and Pharmacokinetics. 41(3). 267–280. 22 indexed citations

12.

Tangamornsuksan, Wimonchat, Ornrat Lohitnavy, Chuenjid Kongkaew, et al.. (2015). Association of HLA-B*5701 Genotypes and Abacavir-Induced Hypersensitivity Reaction: A Systematic Review and Meta-Analysis. Journal of Pharmacy & Pharmaceutical Sciences. 18(1). 68–68. 30 indexed citations

13.

Gilbert, Kathleen M., et al.. (2014). Modeling toxicodynamic effects of trichloroethylene on liver in mouse model of autoimmune hepatitis. Toxicology and Applied Pharmacology. 279(3). 284–293. 18 indexed citations

14.

Gilbert, Kathleen M., et al.. (2012). Epigenetic Alterations May Regulate Temporary Reversal of CD4+ T Cell Activation Caused by Trichloroethylene Exposure. Toxicological Sciences. 127(1). 169–178. 22 indexed citations

15.

Reisfeld, Brad & Arthur N. Mayeno. (2012). What is Computational Toxicology?. Methods in molecular biology. 929. 3–7. 17 indexed citations

16.

Mayeno, Arthur N., Jonathan L. Robinson, & Brad Reisfeld. (2010). Rapid estimation of activation enthalpies for cytochrome‐P450‐mediated hydroxylations. Journal of Computational Chemistry. 32(4). 639–657. 4 indexed citations

17.

Lyons, Michael A., Raymond S. H. Yang, Arthur N. Mayeno, & Brad Reisfeld. (2008). Computational Toxicology of Chloroform: Reverse Dosimetry Using Bayesian Inference, Markov Chain Monte Carlo Simulation, and Human Biomonitoring Data. Environmental Health Perspectives. 116(8). 1040–1046. 49 indexed citations

18.

Reisfeld, Brad & Raymond S. H. Yang. (2004). A reaction network model for CYP2E1-mediated metabolism of toxicant mixtures. Environmental Toxicology and Pharmacology. 18(2). 173–179. 5 indexed citations

19.

Yang, Raymond S. H., Hisham El‐Masri, Russell S. Thomas, et al.. (2004). Chemical mixture toxicology: from descriptive to mechanistic, and going on to in silico toxicology. Environmental Toxicology and Pharmacology. 18(2). 65–81. 25 indexed citations

20.

Liao, Kin, Ivan D. Dobrev, James E. Dennison, et al.. (2002). Application of biologically based computer modeling to simple or complex mixtures.. Environmental Health Perspectives. 110(suppl 6). 957–963. 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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