Scott S. Auerbach

105 papers receiving 5.7k citations

Scott S. Auerbach's Hit Papers

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium 2014 · 740 citations
7400+5+10Years since publication250500750

Peers

Scott S. Auerbach
Comparison fields: 5 of 165
  • Health, Toxicology and Mutagenesis 1.2k
  • Cancer Research 885
  • Small Animals 469
  • Chemical Health and Safety 34
  • Pharmacology 417
Replace Bob van de Water with:
Bob van de Water Netherlands
Bennard van Ravenzwaay Germany
Paul Lawford Carmichael United Kingdom
Douglas C. Wolf United States
Masamitsu Honma Japan
Ruth Angela Roberts United Kingdom
Nancy Isaacson Kerkvliet United States
Mirjam Luijten Netherlands
Sandra Coecke Italy
Russell C. Cattley United States
Scott S. Auerbach relative to Bob van de Water Netherlands Bob van de Water's profile →
Citations per field
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Citations per year

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-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.

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

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Common MUC5B Promoter Polymorphism and Pulmonary Fibrosis
Hit paper breakdown →
2011959
2
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Hit paper breakdown →
2014740
3 2014399
4 2013230
5 2019222
6 2018189
7 2018169
8 2017130
9 2018120
10 2015109
11 2003101
12 201581
13 200979
14 201977
15 200577
16 202173
17 202070
18 202266
19 200966
20 201965

About Scott S. Auerbach

Scott S. Auerbach is a scholar working on Computational Theory and Mathematics, Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology and Small Animals, having authored 109 papers that have together received 5.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Carcinogens and Genotoxicity Assessment (21 papers), Molecular Biology Techniques and Applications (20 papers), Gene expression and cancer classification (16 papers), Effects and risks of endocrine disrupting chemicals (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Animal testing and alternatives (11 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Cancer Research (885 citations), Small Animals (469 citations), Chemical Health and Safety (34 citations) and Pharmacology (417 citations). Scott S. Auerbach has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Daniel L. Svoboda, Ruchir Shah, Richard S. Paules, Bruce 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 and Molecular Mutagenesis 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.

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