Scott S. Auerbach
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Molecular Biology Techniques and Applications 18
- Gene expression and cancer classification 17
- Metabolomics and Mass Spectrometry Studies 13
- Bioinformatics and Genomic Networks 10
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- Computational Drug Discovery Methods 26
- Co-authors
- Daniel Svoboda (7 shared papers)Richard S. Paules (10 shared papers)Ruchir Shah (16 shared papers)B. Alex Merrick (15 shared papers)Pierre R. Bushel (9 shared papers)Jui‐Hua Hsieh (13 shared papers)Curtis J. Omiecinski (4 shared papers)Deepak Mav (10 shared papers)
- 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 StatesCanadaNetherlands
In The Last Decade
Scott S. Auerbach
88 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 143
- Health, Toxicology and Mutagenesis 891
- Pharmacology 344
- Small Animals 246
- Computational Theory and Mathematics 522
- Cancer Research 430
Countries citing papers authored by Scott S. Auerbach
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
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-authors
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.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 206 | |
| 2 | 2018 | 153 | |
| 3 | 2017 | 112 | |
| 4 | 2018 | 105 | |
| 5 | 2003 | 95 | |
| 6 | 2015 | 95 | |
| 7 | 2015 | 80 | |
| 8 | 2016 | 71 | |
| 9 | 2019 | 69 | |
| 10 | 2005 | 69 | |
| 11 | 2009 | 67 | |
| 12 | 2020 | 63 | |
| 13 | 2009 | 62 | |
| 14 | 2009 | 60 | |
| 15 | 2000 | 56 | |
| 16 | 2022 | 54 | |
| 17 | 2015 | 51 | |
| 18 | 2019 | 51 | |
| 19 | 2017 | 50 | |
| 20 | 2014 | 49 |
About Scott S. Auerbach
Scott S. Auerbach is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Health, Toxicology and Mutagenesis and Small Animals, 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), Animal testing and alternatives (10 papers), Bioinformatics and Genomic Networks (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, Deepak Mav, Nisha S. Sipes 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.
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.