J. Lamb
Molecular Biology · Nature · 2003–2017
A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 98 citations into it; #14,776 of 17,773 by trust here, #957 by citations
- Cancer Research — 21 citations into it; #1,301 of 1,780 by trust here, #240 by citations
- Genetics — 15 citations into it
- Oncology — 14 citations into it
Whom J. Lamb trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Lamb overall
- Chien-Hung Huang
- Guanghui Hu
- Karen A. Ryall
- Yujin Hoshida
- Peter Mu-Hsin Chang
- Dusica Vidovic
- Lei Xie
- Pankaj Agarwal
- S. Y. Chan
- Johan Rung
Papers from J. Lamb's perspective
Ordered by how strongly the researchers J. Lamb trusts endorse each paper. Same corpus, a different order for every researcher.
- Global mapping of pharmacological space
- Magic shotguns versus magic bullets: selectively non-selective drugs for mood disorders and schizophrenia (Nature reviews. Drug discovery)
- The druggable genome (Nature reviews. Drug discovery)
- A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen. (Cell)
- The development of androgen-independent prostate cancer (Nature Reviews. Cancer)
- Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways (Nature Biotechnology)
- The functions of animal microRNAs (Nature)
- HDAC6 regulates Hsp90 acetylation and chaperone-dependent activation of glucocorticoid receptor. (Molecules and Cells)
- Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
- Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks (Nature Biotechnology)
Their papers
- Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements. (2006) — 1,224 citations
- MicroRNA expression profiles classify human cancers (2005) — 9,882 citations
- The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease (2006) — 4,911 citations
- Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators. (2006) — 604 citations
- A Next Generation Connectivity Map: L1000 platform and the first 1,000,000 profiles (2017) — 2,985 citations
- The Connectivity Map: a new tool for biomedical research (2007) — 893 citations
- Positive and negative regulation of ΔN-p63 promoter activity by p53 and ΔN-p63-α contributes to differential regulation of p53 target genes (2003) — 87 citations