A. Hopkins
Molecular Biology · Nature reviews. Drug discovery · 2002–2014
A researcher in the Science corpus: 10 papers; trusts 21 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 80 citations into it; #760 of 17,773 by trust here, #1,785 by citations
- Computational Theory and Mathematics — 66 citations into it; #865 of 12,182 by trust here, #115 by citations
- Pharmacology — 33 citations into it; #22 of 1,112 by trust here, #37 by citations
- Spectroscopy — 24 citations into it
- Organic Chemistry — 17 citations into it; #588 of 1,495 by trust here, #213 by citations
- Genetics — 8 citations into it
- Economics and Econometrics — 5 citations into it
Whom A. Hopkins trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Borisy
- Hiroaki Kitano
- Hawoong Jeong
- Bryan L. Roth
- Albert-László Barabási
- M. Hann
- Vito Latora
- Matthew W. Hahn
- Colin R. Groom
- Paul D. Leeson
Who trusts A. Hopkins overall
- Roderick E. Hubbard
- Ye Fang
- M. Rask-Andersen
- Peter Csermely
- Gisbert Schneider
- J. Regard
- Feixiong Cheng
- Shao Li
- Lawrence Lin
- Lei Xie
Papers from A. Hopkins's perspective
Ordered by how strongly the researchers A. Hopkins trusts endorse each paper. Same corpus, a different order for every researcher.
- Lethality and centrality in protein networks
- The Protein Data Bank.
- Global mapping of pharmacological space
- The Multiplicity of Serotonin Receptors: Uselessly Diverse Molecules or an Embarrassment of Riches?
- Systematic functional analysis of the Caenorhabditis elegans genome using RNAi (Nature)
- ChEMBL: a large-scale bioactivity database for drug discovery
- Drugs, their targets and the nature and number of drug targets (Nature reviews. Drug discovery)
- The efficiency of multi-target drugs: the network approach might help drug design. (TIPS - Trends in Pharmacological Sciences)
- Magic shotguns versus magic bullets: selectively non-selective drugs for mood disorders and schizophrenia (Nature reviews. Drug discovery)
- Network pharmacology: the next paradigm in drug discovery. (Nature Chemical Biology)
Their papers
- Quantifying the chemical beauty of drugs. (2012) — 2,218 citations
- The druggable genome (2002) — 3,254 citations
- How many drug targets are there? (2006) — 3,528 citations
- Network pharmacology: the next paradigm in drug discovery. (2008) — 4,073 citations
- Global mapping of pharmacological space (2006) — 770 citations
- Automated design of ligands to polypharmacological profiles (2012) — 781 citations
- Ligand efficiency: a useful metric for lead selection. (2004) — 1,655 citations
- The role of ligand efficiency metrics in drug discovery (2014) — 1,048 citations
- Network pharmacology (2007) — 1,293 citations
- Genomic-scale prioritization of drug targets: the TDR Targets database (2008) — 310 citations