J. Shockcor
Molecular Biology · 2004–2012
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 42 citations into it; #10,301 of 17,773 by trust here, #10,193 by citations
- Spectroscopy — 23 citations into it; #895 of 1,674 by trust here, #1,029 by citations
Whom J. Shockcor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Shockcor overall
Papers from J. Shockcor's perspective
Ordered by how strongly the researchers J. Shockcor trusts endorse each paper. Same corpus, a different order for every researcher.
- A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations (Nature Biotechnology)
- Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum. (Analytical Chemistry)
- Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts (Nature Protocols)
- Potential of metabolomics as a functional genomics tool. (Trends in Plant Science)
- The large-scale organization of metabolic networks (Nature)
- Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. (Science)
- Metabonomics: a platform for studying drug toxicity and gene function (Nature reviews. Drug discovery)
- Metabolomics – the link between genotypes and phenotypes (Plant Molecular Biology)
- Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics (Nature Medicine)
- Gut flora in health and disease. (The Lancet)
Their papers
- Global metabolic profiling procedures for urine using UPLC–MS (2010) — 1,060 citations
- Metabolic profiles of cancer cells (2004) — 720 citations
- Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models. (2008) — 1,208 citations
- Global metabolic profiling of animal and human tissues via UPLC-MS (2012) — 1,391 citations