Yu‐Mei Tan

3.2k total citations
57 papers, 2.2k citations indexed

About

Yu‐Mei Tan is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Yu‐Mei Tan has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Health, Toxicology and Mutagenesis, 20 papers in Cancer Research and 12 papers in Computational Theory and Mathematics. Recurrent topics in Yu‐Mei Tan's work include Effects and risks of endocrine disrupting chemicals (31 papers), Carcinogens and Genotoxicity Assessment (20 papers) and Computational Drug Discovery Methods (12 papers). Yu‐Mei Tan is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (31 papers), Carcinogens and Genotoxicity Assessment (20 papers) and Computational Drug Discovery Methods (12 papers). Yu‐Mei Tan collaborates with scholars based in United States, Italy and Canada. Yu‐Mei Tan's co-authors include Harvey J. Clewell, Melvin E. Andersen, Jeremy A. Leonard, Ken Liao, Stephen W. Edwards, John L. Butenhoff, Geary W. Olsen, Jon R. Sobus, Alicia Paini and M.E. Meek and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Yu‐Mei Tan

57 papers receiving 2.1k citations

Peers

Yu‐Mei Tan

HTM

Moiz Mumtaz United States

Miyoung Yoon United States

Barbara A. Wetmore United States

Michelle R. Embry United States

P. Robinan Gentry United States

Nynke I. Kramer Netherlands

Mirjam Luijten Netherlands

Alicia Paini Italy

Penelope A. Fenner-Crisp United States

Michael L. Dourson United States

Moiz Mumtaz United States

Yu‐Mei Tan

1.3k ×0.9

HTM

167 ×0.3

442 ×0.9

123 ×0.5

279 ×1.3

Citations per year, relative to Yu‐Mei Tan Yu‐Mei Tan (= 1×) peers Moiz Mumtaz

Countries citing papers authored by Yu‐Mei Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Mei Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Mei Tan. 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 Yu‐Mei Tan. The network helps show where Yu‐Mei Tan may publish in the future.

Co-authorship network of co-authors of Yu‐Mei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Mei Tan. A scholar is included among the top collaborators of Yu‐Mei Tan 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 Yu‐Mei Tan. Yu‐Mei Tan 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

Hoer, Daniel, Hugh A. Barton, Alicia Paini, et al.. (2022). Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling. Toxicology and Applied Pharmacology. 440. 115922–115922. 6 indexed citations

Phillips, Katherine A., Jeffrey M. Minucci, John F. Wambaugh, et al.. (2021). Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies. Regulatory Toxicology and Pharmacology. 127. 105073–105073. 3 indexed citations

Clewell, Rebecca A., Jeremy A. Leonard, Jerry L. Campbell, et al.. (2020). Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates. Toxicology in Vitro. 66. 104855–104855. 23 indexed citations

Tan, Yu‐Mei, Jeremy A. Leonard, Stephen W. Edwards, Justin Teeguarden, & Peter Egeghy. (2018). Refining the aggregate exposure pathway. Environmental Science Processes & Impacts. 20(3). 428–436. 16 indexed citations

Tan, Yu‐Mei, Jeremy A. Leonard, Stephen W. Edwards, et al.. (2018). Aggregate exposure pathways in support of risk assessment. Current Opinion in Toxicology. 9. 8–13. 21 indexed citations

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

Leonard, Jeremy A., Yu‐Mei Tan, Mary E. Gilbert, Kristin Isaacs, & Hisham El‐Masri. (2016). Estimating Margin of Exposure to Thyroid Peroxidase Inhibitors Using High-Throughputin vitroData, High-Throughput Exposure Modeling, and Physiologically Based Pharmacokinetic/Pharmacodynamic Modeling. Toxicological Sciences. 151(1). 57–70. 27 indexed citations

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

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

10.

LaKind, Judy S., Jon R. Sobus, Michael Goodman, et al.. (2014). A proposal for assessing study quality: Biomonitoring, Environmental Epidemiology, and Short-lived Chemicals (BEES-C) instrument. Environment International. 73. 195–207. 74 indexed citations

11.

Christensen, Krista, et al.. (2014). Changes in epidemiologic associations with different exposure metrics: A case study of phthalate exposure associations with body mass index and waist circumference. Environment International. 73. 66–76. 24 indexed citations

12.

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

13.

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

14.

Grulke, Chris, et al.. (2013). PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributions. Bioinformation. 9(13). 707–709. 2 indexed citations

15.

Tardiff, Robert G., M. Leigh Carson, Lisa Sweeney, et al.. (2009). Derivation of a drinking water equivalent level (DWEL) related to the maximum contaminant level goal for perfluorooctanoic acid (PFOA), a persistent water soluble compound. Food and Chemical Toxicology. 47(10). 2557–2589. 12 indexed citations

16.

Sweeney, Lisa, Christopher R. Kirman, Richard J. Albertini, et al.. (2009). Derivation of inhalation toxicity reference values for propylene oxide using mode of action analysis: Example of a threshold carcinogen. Critical Reviews in Toxicology. 39(6). 462–486. 7 indexed citations

17.

Dorman, David C., Melanie F. Struve, Brian A. Wong, et al.. (2008). Derivation of an Inhalation Reference Concentration Based upon Olfactory Neuronal Loss in Male Rats following Subchronic Acetaldehyde Inhalation. Inhalation Toxicology. 20(3). 245–256. 21 indexed citations

18.

Liao, Kin, Yu‐Mei Tan, Rory B. Conolly, et al.. (2007). Bayesian Estimation of Pharmacokinetic and Pharmacodynamic Parameters in a Mode‐of‐Action‐Based Cancer Risk Assessment for Chloroform. Risk Analysis. 27(6). 1535–1551. 22 indexed citations

19.

Tan, Yu‐Mei, Ken Liao, & Harvey J. Clewell. (2006). Reverse dosimetry: interpreting trihalomethanes biomonitoring data using physiologically based pharmacokinetic modeling. Journal of Exposure Science & Environmental Epidemiology. 17(7). 591–603. 115 indexed citations

20.

Tan, Yu‐Mei. (2003). Biologically Motivated Computational Modeling of Chloroform Cytolethality and Regenerative Cellular Proliferation. Toxicological Sciences. 75(1). 192–200. 22 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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