M. Huss
Molecular Biology · Science · 2002–2018
A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 106 citations into it; #3,994 of 17,773 by trust here, #1,821 by citations
- Artificial Intelligence — 10 citations into it
Whom M. Huss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- U. Brandes
- Michelle Girvan
- Minoru Kanehisa
- Hawoong Jeong
- Svante Janson
- Jennifer Nichols
- Peter D. Karp
- Mark Newman
Who trusts M. Huss overall
Papers from M. Huss's perspective
Ordered by how strongly the researchers M. Huss trusts endorse each paper. Same corpus, a different order for every researcher.
- KEGG: Kyoto Encyclopedia of Genes and Genomes (Nucleic Acids Res.)
- The large-scale organization of metabolic networks (Nature)
- Functional expression cloning of Nanog, a pluripotency sustaining factor in embryonic stem cells. (Cell)
- The small world inside large metabolic networks (Proceedings of the Royal Society of London. Series B: Biological Sciences)
- Lethality and centrality in protein networks
- A faster algorithm for betweenness centrality
- Random graphs (Wiley-Interscience series in discrete mathematics and optimization)
- Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
- BMP induction of Id proteins suppresses differentiation and sustains embryonic stem cell self-renewal in collaboration with STAT3. (Cell)
- The ground state of embryonic stem cell self-renewal (Nature)
Their papers
- Subnetwork hierarchies of biochemical pathways (2002) — 360 citations
- Integration of external signaling pathways with the core transcriptional network in embryonic stem cells. (2008) — 2,639 citations
- Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst. (2010) — 857 citations
- Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics. (2014) — 1,209 citations
- Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics* (2013) — 2,436 citations
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics (2016) — 3,194 citations
- A primer on deep learning in genomics (2018) — 767 citations