Christopher M. Grulke
Computational Theory and Mathematics · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 54 citations into it
- Physical and Theoretical Chemistry — 11 citations into it
- Spectroscopy — 8 citations into it
- Analytical Chemistry — 5 citations into it
Whom Christopher M. Grulke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Viviana Consonni
- Roberto Todeschini
- R. Leardi
- Chun Wei Yap
- Antony J. Williams
- Richard S. Judson
- Davide Ballabio
- R. Kavlock
- Igor V. Tetko
Papers from Christopher M. Grulke's perspective
Ordered by how strongly the researchers Christopher M. Grulke trusts endorse each paper. Same corpus, a different order for every researcher.
- Evaluation of model predictive ability by external validation techniques
- HMDB: the Human Metabolome Database (Nucleic Acids Res.)
- LC–high resolution MS in environmental analysis: from target screening to the identification of unknowns (Analytical and Bioanalytical Chemistry)
- Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis (Analytical and Bioanalytical Chemistry)
- Genetic algorithms in chemometrics and chemistry: a review
- ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.
- The exposure data landscape for manufactured chemicals.
- The CompTox Chemistry Dashboard: a community data resource for environmental chemistry (Journal of Cheminformatics)
- Update on EPA's ToxCast program: providing high throughput decision support tools for chemical risk management.
- Towards a gold standard: regarding quality in public domain chemistry databases and approaches to improving the situation.
Their papers
- ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology. (2016) — 652 citations
- The CompTox Chemistry Dashboard: a community data resource for environmental chemistry (2017) — 951 citations
- The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. (2019) — 306 citations
- OPERA models for predicting physicochemical properties and environmental fate endpoints (2018) — 517 citations