Stephen W. Michnick
Cellular and Molecular Neuroscience · 1998–2008
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Cellular and Molecular Neuroscience — 14 citations into it; #1,651 of 2,998 by trust here, #2,031 by citations
Whom Stephen W. Michnick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Stephen W. Michnick overall
Papers from Stephen W. Michnick's perspective
Ordered by how strongly the researchers Stephen W. Michnick trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.
- The organization of the chemosensory system in Drosophila melanogaster: a rewiew (Cell and Tissue Research)
- Two-photon calcium imaging reveals an odor-evoked map of activity in the fly brain. (Cell)
- A chemosensory gene family encoding candidate gustatory and olfactory receptors in Drosophila. (Cell)
- The HMMTOP transmembrane topology prediction server (Bioinform.)
- An amino-acid taste receptor (Nature)
- The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.
- Molecular evolution of the insect chemoreceptor gene superfamily in Drosophila melanogaster (Proceedings of the National Academy of Sciences of the United States of America)
- Molecular, anatomical, and functional organization of the Drosophila olfactory system. (Current Biology)
- Or83b encodes a broadly expressed odorant receptor essential for Drosophila olfaction. (Neuron)
Their papers
- An in Vivo Map of the Yeast Protein Interactome (2008) — 798 citations
- Atypical Membrane Topology and Heteromeric Function of Drosophila Odorant Receptors In Vivo (2006) — 993 citations
- β-Lactamase protein fragment complementation assays as in vivo and in vitro sensors of protein–protein interactions (2002) — 364 citations
- All-atom empirical potential for molecular modeling and dynamics studies of proteins. (1998)