Scott S. Auerbach

7.6k citations

94 papers · 2.8k indexed · h-index 31

Impact in

Health, Toxicology and Mutagenesis top 1%
- Effects and risks of endocrine disrupting chemicals
Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism

Papers in

Computational Theory and Mathematics 26
- Computational Drug Discovery Methods 26
Health, Toxicology and Mutagenesis 19
- Effects and risks of endocrine disrupting chemicals 9

Co-authors: Daniel Svoboda Richard S. Paules Ruchir Shah B. Alex Merrick Pierre R. Bushel Jui‐Hua Hsieh Curtis J. Omiecinski Nisha S. Sipes
Journals: Toxicological Sciences (12 papers)PLoS ONE (7 papers)Chemical Research in Toxicology (6 papers)Environmental Health Perspectives (5 papers)Toxicologic Pathology (5 papers)
Partner nations: United States Canada Netherlands

In The Last Decade

Scott S. Auerbach

88 papers receiving 2.7k citations

Peers

Countries citing papers authored by Scott S. Auerbach

Since Specialization

Citations

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

Fields of papers citing papers by Scott S. Auerbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott S. Auerbach. 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 Scott S. Auerbach. The network helps show where Scott S. Auerbach may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Scott S. Auerbach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott S. Auerbach Line = papers co-authored together Scott S. Auerbach links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Dose–response modeling of effects in mice after exposure to a polyfluoroalkyl substance (Nafion byproduct 2) Toxicological Sciences ·J. Christopher Corton, Jeffrey S. Gift, Scott S. Auerbach, Jie Liu, Kaberi Das, Hongzu Ren, Johnsie R. Lang, Neil Chernoff, Christopher Lau, A. D. Budyl'skii	2025	2
2	Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph Frontiers in Toxicology ·Karamarie Fecho, Wagdi Elagroudi, 正仁湯村, Scott S. Auerbach, Chris Bizon, Alexander Tropsha	2025	0
3	Bioinformatic workflows for deriving transcriptomic points of departure: current status, data gaps, and research priorities Toxicological Sciences ·Jason M. O’Brien, Constance A. Mitchell, Scott S. Auerbach, MeiGongFAN, Jessica Ewald, Logan J. Everett, Gerald P. Brophy, Kamin J. Johnson, Anthony Reardon, John P. Rooney, Kan Shao, R. Stainforth, Matthew W. Wheeler, Deidre A. Dalmas, Andrew Williams, Carole L. Yauk, H. Junk	2024	7
4	Applying genomics in regulatory toxicology: a report of the ECETOC workshop on omics threshold on non-adversity Archives of Toxicology ·Timothy W. Gant, Scott S. Auerbach, Martin von Bergen�, Mounir Bouhifd, Philip A. Botham, Florian Caiment, A Currie, Joshua Harrill, Kamin J. Johnson, Dongying Li, David Rouquié, B. van Ravenzwaay, Frank D. Sistare, Tewes Tralau, Mark R. Viant, Yingmao Ruan, Carole L. Yauk	2023	10
5	Considerations for application of benchmark dose modeling in radiation research: workshop highlights International Journal of Radiation Biology ·Vinita Chauhan, Jasna Prpić-Marečić, Ngoc Q. Vuong, Lynne T. Haber, Andrew Williams, Scott S. Auerbach, 明山杨, Yi Wang, R. Stainforth, Ruth C. Wilkins, Edouard I. Azzam, Richard B. Richardson, Md Gulam Musawwir Khan, Ashok Jadhav, Jurček Horvat, Julie Leblanc, Kristi Randhawa, Knut Erik Tollefsen, Carole L. Yauk	2023	5
6	Clustering High-dimensional Toxicogenomics Data with Rare Signals OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Guojing Cong, Scott S. Auerbach	2023	1
7	ToxicR: A computational platform in R for computational toxicology and dose–response analyses Computational Toxicology ·Matthew W. Wheeler, Fahad Al-Bani, John S. House, Keith R. Shockley, A. John Bailer, Jennifer Fostel, Longlong Yang, D.T. Brownlow, B. Jamet, W Jaroniewski, Jerry Davis, Scott S. Auerbach, Alison A. Motsinger‐Reif	2022	9
8	Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics Computational Toxicology ·Caroline Ring, Nisha S. Sipes, Jui‐Hua Hsieh, Celeste K. Carberry, Divya Bhanu, William D. Klaren, Mark Anglin Harris, Scott S. Auerbach, Julia E. Rager	2021	34
9	Inferred inactivation of the Cftr gene in the duodena of mice exposed to hexavalent chromium (Cr(VI)) in drinking water supports its tumor-suppressor status and implies its potential role in Cr(VI)-induced carcinogenesis of the small intestines Toxicology and Applied Pharmacology ·Roman Mezencev, Scott S. Auerbach	2021	8
10	Epigenome-Wide DNA Methylation and Pesticide Use in the Agricultural Lung Health Study Environmental Health Perspectives ·Thanh T. Hoang, Cancan Qi, Kimberly C. Paul, Mi Kyeong Lee, Julie D. White, Marie Richards, Scott S. Auerbach, Stuart Long, Srishti Shrestha, Tianyuan Wang, Laura E. Beane Freeman, Jonathan N. Hofmann, Christine G. Parks, (unknown), Cheng‐Jian Xu, Beate Ritz, Gerard H. Koppelman, Stephanie J. London	2021	26
11	Evaluation of 2-methoxy-4-nitroaniline (MNA) in hypersensitivity, 14-day subacute, reproductive, and genotoxicity studies Toxicology ·Rachel P. Frawley, Kristine L. Witt, Helen Cunny, Dori R. Germolec, Daven N. Jackson‐Humbles, David E. Malarkey, Keith R. Shockley, Matthew D. Stout, Greg Travlos, Matthew Buccellato, Dawn M. Fallacara, Shawn Harris, Grace E. Kissling, Zhen-Yu Nie, Mituo Kanazawa, Kimber L. White, Scott S. Auerbach	2020	2
12	Using Tox21 High-Throughput Screening Assays for the Evaluation of Botanical and Dietary Supplements PubMed ·Troy D. Hubbard, Jui‐Hua Hsieh, Cynthia V. Rider, Nisha S. Sipes, Alexander Sedykh, Bradley J. Collins, Scott S. Auerbach, Menghang Xia, Ruili Huang, Nigel J. Walker, Michael J. DeVito	2019	11
13	Considerations for strategic use of high-throughput transcriptomics chemical screening data in regulatory decisions Current Opinion in Toxicology ·Joshua Harrill, Imran Shah, R. Woodrow Setzer, Derik E. Haggard, Scott S. Auerbach, Richard Judson, Russell S. Thomas	2019	69
14	Finding the bad actor: Challenges in identifying toxic constituents in botanical dietary supplements Food and Chemical Toxicology ·Georgia Roberts, Dale R. Gardner, Paul M.D. Foster, Paul C. Howard, Edmund Lui, Larry Walker, Richard B. van Breemen, Scott S. Auerbach, Cynthia V. Rider	2018	18
15	Development of Novel Cell Lines for High-Throughput Screening to Detect Estrogen-Related Receptor Alpha Modulators SLAS DISCOVERY ·Christina T. Teng, Jui‐Hua Hsieh, Jinghua Zhao, Ruili Huang, Menghang Xia, Negin P. Martin, Xiaohua Gao, Darlene Dixon, Scott S. Auerbach, Karsten Witt, B. Alex Merrick	2017	18
16	The Importance of the Biological Impact of Exposure to the Concept of the Exposome Environmental Health Perspectives ·Kristine K. Dennis, Scott S. Auerbach, David M. Balshaw, Yuxia Cui, Margaret Daniele Fallin, Martyn T. Smith, Avrum Spira, Susan Sumner, Gary W. Miller	2016	71
17	Technical guide for applications of gene expression profiling in human health risk assessment of environmental chemicals Regulatory Toxicology and Pharmacology ·Julie Bourdon-Lacombe, Ivy D. Moffat, АЛЕКСАНДР ЮРЬЕВИЧ ДОЛГОБОРОДОВ, Mainul Husain, Scott S. Auerbach, Daniel Krewski, Russell S. Thomas, Pierre R. Bushel, Andrew Williams, Carole L. Yauk	2015	51
18	Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq Scientific Data ·Binsheng Gong, Charles Wang, Zhenqiang Su, Huixiao Hong, Jean Thierry‐Mieg, Danielle Thierry‐Mieg, Leming Shi, Scott S. Auerbach, Weida Tong, Joshua Xu	2014	21
19	Biological Networks for Predicting Chemical Hepatocarcinogenicity Using Gene Expression Data from Treated Mice and Relevance across Human and Rat Species PLoS ONE ·Reuben Thomas, Russell S. Thomas, Scott S. Auerbach, Christopher J. Portier	2013	13
20	Alternatively spliced isoforms of the human constitutive androstane receptor Nucleic Acids Research ·Scott S. Auerbach	2003	95

About Scott S. Auerbach

Scott S. Auerbach is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals, Cancer Research and Pharmacology, having authored 94 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Molecular Biology Techniques and Applications (18 papers), Gene expression and cancer classification (17 papers), Carcinogens and Genotoxicity Assessment (17 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Bioinformatics and Genomic Networks (10 papers), Animal testing and alternatives (10 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (891 citations), Pharmacology (344 citations), Small Animals (246 citations), Computational Theory and Mathematics (522 citations) and Cancer Research (430 citations). Scott S. Auerbach has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Daniel Svoboda, Richard S. Paules, Ruchir Shah, B. Alex Merrick, Pierre R. Bushel, Jui‐Hua Hsieh, Curtis J. Omiecinski, Nisha S. Sipes, Deepak Mav and Russell S. Thomas. Their work appears in journals such as Toxicological Sciences, PLoS ONE, Chemical Research in Toxicology, Environmental Health Perspectives and Toxicologic Pathology.

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