| KEGG: kyoto encyclopedia of genes and genomes M Kanehisa, S Goto Nucleic acids research 28 (1), 27-30, 2000 | 31264 | 2000 |
| KEGG: new perspectives on genomes, pathways, diseases and drugs M Kanehisa, M Furumichi, M Tanabe, Y Sato, K Morishima Nucleic acids research 45 (D1), D353-D361, 2017 | 7226 | 2017 |
| KEGG for linking genomes to life and the environment M Kanehisa, M Araki, S Goto, M Hattori, M Hirakawa, M Itoh, T Katayama, ... Nucleic acids research 36 (suppl_1), D480-D484, 2007 | 6458 | 2007 |
| KEGG as a reference resource for gene and protein annotation M Kanehisa, Y Sato, M Kawashima, M Furumichi, M Tanabe Nucleic acids research 44 (D1), D457-D462, 2016 | 5992 | 2016 |
| KEGG: Kyoto encyclopedia of genes and genomes H Ogata, S Goto, K Sato, W Fujibuchi, H Bono, M Kanehisa Nucleic acids research 27 (1), 29-34, 1999 | 5240 | 1999 |
| The KEGG resource for deciphering the genome M Kanehisa, S Goto, S Kawashima, Y Okuno, M Hattori Nucleic acids research 32 (suppl_1), D277-D280, 2004 | 5109 | 2004 |
| KEGG for integration and interpretation of large-scale molecular data sets M Kanehisa, S Goto, Y Sato, M Furumichi, M Tanabe Nucleic acids research 40 (D1), D109-D114, 2012 | 5068 | 2012 |
| KAAS: an automatic genome annotation and pathway reconstruction server Y Moriya, M Itoh, S Okuda, AC Yoshizawa, M Kanehisa Nucleic acids research 35 (suppl_2), W182-W185, 2007 | 3847 | 2007 |
| From genomics to chemical genomics: new developments in KEGG M Kanehisa, S Goto, M Hattori, KF Aoki-Kinoshita, M Itoh, S Kawashima, ... Nucleic acids research 34 (suppl_1), D354-D357, 2006 | 3630 | 2006 |
| Data, information, knowledge and principle: back to metabolism in KEGG M Kanehisa, S Goto, Y Sato, M Kawashima, M Furumichi, M Tanabe Nucleic acids research 42 (D1), D199-D205, 2014 | 3341 | 2014 |
| BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences M Kanehisa, Y Sato, K Morishima Journal of molecular biology 428 (4), 726-731, 2016 | 2910 | 2016 |
| KEGG for representation and analysis of molecular networks involving diseases and drugs M Kanehisa, S Goto, M Furumichi, M Tanabe, M Hirakawa Nucleic acids research 38 (suppl_1), D355-D360, 2010 | 2582 | 2010 |
| KEGG: integrating viruses and cellular organisms M Kanehisa, M Furumichi, Y Sato, M Ishiguro-Watanabe, M Tanabe Nucleic acids research 49 (D1), D545-D551, 2021 | 2567 | 2021 |
| Whole genome sequencing of meticillin-resistant Staphylococcus aureus M Kuroda, T Ohta, I Uchiyama, T Baba, H Yuzawa, I Kobayashi, L Cui, ... The Lancet 357 (9264), 1225-1240, 2001 | 2560 | 2001 |
| Toward understanding the origin and evolution of cellular organisms M Kanehisa Protein Science 28 (11), 1947-1951, 2019 | 2509 | 2019 |
| A knowledge base for predicting protein localization sites in eukaryotic cells K Nakai, M Kanehisa Genomics 14 (4), 897-911, 1992 | 1846 | 1992 |
| The KEGG databases at GenomeNet M Kanehisa, S Goto, S Kawashima, A Nakaya Nucleic acids research 30 (1), 42-46, 2002 | 1756 | 2002 |
| New approach for understanding genome variations in KEGG M Kanehisa, Y Sato, M Furumichi, K Morishima, M Tanabe Nucleic acids research 47 (D1), D590-D595, 2019 | 1712 | 2019 |
| KEGG for taxonomy-based analysis of pathways and genomes M Kanehisa, M Furumichi, Y Sato, M Kawashima, M Ishiguro-Watanabe Nucleic acids research 51 (D1), D587-D592, 2023 | 1656 | 2023 |
| The KEGG database M Kanehisa ‘In silico’simulation of biological processes: Novartis Foundation Symposium …, 2002 | 1256 | 2002 |
