Yoko Sato
Molecular Biology · 2011–2024
A researcher in the Science corpus: 11 papers; trusts 16 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 41 citations into it; #1,784 of 17,773 by trust here, #1,222 by citations
- Genetics — 15 citations into it; #6,638 of 6,854 by trust here, #4,125 by citations
- Computational Biology & Bioinformatics — 13 citations into it
- Ecology — 5 citations into it; #5,115 of 10,717 by trust here, #8,179 by citations
Whom Yoko Sato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Minoru Kanehisa
- S. Federhen
- William R. Pearson
- Susumu Goto
- Miho Furumichi
- Weizhong Li
- Kim D. Pruitt
- Mao Tanabe
- Takuya Aramaki
- Tatiana A. Tatusova
Who trusts Yoko Sato overall
- Minoru Kanehisa
- Miho Furumichi
- Damian Szklarczyk
- David S. Wishart
- Masayuki Kawashima
- Artur Meller
- Mehmet Gönen
- Nicolas Le Novère
- Mao Tanabe
- Mari Ishiguro-Watanabe
Papers from Yoko Sato's perspective
Ordered by how strongly the researchers Yoko Sato trusts endorse each paper. Same corpus, a different order for every researcher.
- NCBI Reference Sequences: current status, policy and new initiatives (Nucleic Acids Res.)
- dbSNP: the NCBI database of genetic variation
- The KEGG databases at GenomeNet (Nucleic Acids Res.)
- Reconstruction of the neuromuscular junction connectome (Bioinform.)
- BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. (Journal of Molecular Biology)
- KEGG for linking genomes to life and the environment (Nucleic Acids Res.)
- From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
- Data, information, knowledge and principle: back to metabolism in KEGG (Nucleic Acids Res.)
- KEGG for representation and analysis of molecular networks involving diseases and drugs (Nucleic Acids Res.)
- ClinVar: public archive of interpretations of clinically relevant variants
Their papers
- KEGG for integration and interpretation of large-scale molecular data sets (2011) — 4,886 citations
- Data, information, knowledge and principle: back to metabolism in KEGG (2013) — 3,127 citations
- KEGG: new perspectives on genomes, pathways, diseases and drugs (2016) — 7,790 citations
- KEGG as a reference resource for gene and protein annotation (2015) — 6,660 citations
- KEGG: integrating viruses and cellular organisms (2020) — 2,934 citations
- BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. (2016) — 3,617 citations
- KEGG Mapper for inferring cellular functions from protein sequences (2019) — 997 citations
- New approach for understanding genome variations in KEGG (2018) — 1,595 citations
- KEGG mapping tools for uncovering hidden features in biological data (2021) — 616 citations
- KEGG for taxonomy-based analysis of pathways and genomes (2022) — 4,249 citations
- KEGG: biological systems database as a model of the real world (2024) — 2,076 citations