Miho Furumichi
Molecular Biology · 2009–2024
A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 36 citations into it; #2,197 of 17,773 by trust here, #1,049 by citations
- Genetics — 12 citations into it; #6,637 of 6,854 by trust here, #4,125 by citations
- Ecology — 5 citations into it
Whom Miho Furumichi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Miho Furumichi overall
- Minoru Kanehisa
- Damian Szklarczyk
- David S. Wishart
- Yoko Sato
- Malte D. Luecken
- Steven X. Ge
- Jaime Huerta-Cepas
- E. Ulgen
- Ingoo Lee
- Mehmet Gönen
Papers from Miho Furumichi's perspective
Ordered by how strongly the researchers Miho Furumichi 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
- McKusick's Online Mendelian Inheritance in Man (OMIM®) (Nucleic Acids Res.)
- The KEGG databases at GenomeNet (Nucleic Acids Res.)
- From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
- Reconstruction of the neuromuscular junction connectome (Bioinform.)
- KEGG for linking genomes to life and the environment (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.)
- BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. (Journal of Molecular Biology)
Their papers
- KEGG for integration and interpretation of large-scale molecular data sets (2011) — 4,886 citations
- KEGG for representation and analysis of molecular networks involving diseases and drugs (2009) — 2,369 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
- New approach for understanding genome variations in KEGG (2018) — 1,595 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