Minoru Kanehisa
Impact in
- Molecular Biology top 0.01%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Machine Learning in Bioinformatics
- Cancer Research top 0.05%
Papers in
-
- Genomics and Phylogenetic Studies 77
- Bioinformatics and Genomic Networks 71
- Microbial Metabolic Engineering and Bioproduction 64
- Machine Learning in Bioinformatics 57
- RNA and protein synthesis mechanisms 47
- Glycosylation and Glycoproteins Research 35
- Protein Structure and Dynamics 30
-
- Computational Drug Discovery Methods 22
- Co-authors
- Susumu Goto (93 shared papers)Yoko Sato (16 shared papers)Miho Furumichi (11 shared papers)Hiroyuki Ogata (10 shared papers)Wataru Fujibuchi (8 shared papers)Hidemasa U. Bono (7 shared papers)Kazushige Sato (4 shared papers)Mao Tanabe (10 shared papers)
- Journals
- Nucleic Acids Research (38 papers)Proceedings Genome Informatics Workshop/Genome informatics (26 papers)Bioinformatics (19 papers)Computer applications in the biosciences (8 papers)BMC Bioinformatics (7 papers)
- Partner nations
- JapanSpainUnited States
In The Last Decade
Minoru Kanehisa
292 papers receiving 129.0k citations
Minoru Kanehisa's Hit Papers
Peers
Comparison fields: 5 of 224
- Molecular Biology 75.4k
- Cancer Research 9.9k
- Ecology 11.4k
- Computational Theory and Mathematics 7.0k
- Immunology 8.1k
Countries citing papers authored by Minoru Kanehisa
This map shows the geographic impact of Minoru Kanehisa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minoru Kanehisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minoru Kanehisa more than expected).
Fields of papers citing papers by Minoru Kanehisa
This network shows the impact of papers produced by Minoru Kanehisa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minoru Kanehisa. The network helps show where Minoru Kanehisa may publish in the future.
Co-authors
The 25 scholars most cited alongside Minoru Kanehisa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 303 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | KEGG: Kyoto Encyclopedia of Genes and Genomes Hit paper breakdown → | 1999 | 27020 |
| 2 | KEGG: Kyoto Encyclopedia of Genes and Genomes Hit paper breakdown → | 2000 | 26868 |
| 3 | KEGG: new perspectives on genomes, pathways, diseases and drugs Hit paper breakdown → | 2016 | 6503 |
| 4 | KEGG for linking genomes to life and the environment Hit paper breakdown → | 2007 | 5673 |
| 5 | KEGG as a reference resource for gene and protein annotation Hit paper breakdown → | 2015 | 5381 |
| 6 | The KEGG resource for deciphering the genome Hit paper breakdown → | 2003 | 4158 |
| 7 | KEGG for integration and interpretation of large-scale molecular data sets Hit paper breakdown → | 2011 | 3983 |
| 8 | KEGG for taxonomy-based analysis of pathways and genomes Hit paper breakdown → | 2022 | 3444 |
| 9 | KAAS: an automatic genome annotation and pathway reconstruction server Hit paper breakdown → | 2007 | 3397 |
| 10 | Toward understanding the origin and evolution of cellular organisms Hit paper breakdown → | 2019 | 3354 |
| 11 | BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences Hit paper breakdown → | 2015 | 2975 |
| 12 | From genomics to chemical genomics: new developments in KEGG Hit paper breakdown → | 2005 | 2612 |
| 13 | Data, information, knowledge and principle: back to metabolism in KEGG Hit paper breakdown → | 2013 | 2592 |
| 14 | KEGG: integrating viruses and cellular organisms Hit paper breakdown → | 2020 | 2584 |
| 15 | KEGG for representation and analysis of molecular networks involving diseases and drugs Hit paper breakdown → | 2009 | 1931 |
| 16 | Whole genome sequencing of meticillin-resistant Staphylococcus aureus Hit paper breakdown → | 2001 | 1690 |
| 17 | A knowledge base for predicting protein localization sites in eukaryotic cells Hit paper breakdown → | 1992 | 1370 |
| 18 | New approach for understanding genome variations in KEGG Hit paper breakdown → | 2018 | 1356 |
| 19 | KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold Hit paper breakdown → | 2019 | 1339 |
| 20 | The KEGG databases at GenomeNet Hit paper breakdown → | 2002 | 1213 |
About Minoru Kanehisa
Minoru Kanehisa is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Spectroscopy and Ecology, having authored 303 papers that have together received 130.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (77 papers), Bioinformatics and Genomic Networks (71 papers), Microbial Metabolic Engineering and Bioproduction (64 papers), Machine Learning in Bioinformatics (57 papers), RNA and protein synthesis mechanisms (47 papers), Glycosylation and Glycoproteins Research (35 papers), Protein Structure and Dynamics (30 papers) and Computational Drug Discovery Methods (22 papers). The work is most often cited by research in Molecular Biology (75.4k citations), Cancer Research (9.9k citations), Ecology (11.4k citations), Computational Theory and Mathematics (7.0k citations) and Immunology (8.1k citations). Minoru Kanehisa has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Susumu Goto, Yoko Sato, Miho Furumichi, Hiroyuki Ogata, Wataru Fujibuchi, Hidemasa U. Bono, Kazushige Sato, Mao Tanabe, Shujiro Okuda and Masumi Itoh. Their work appears in journals such as Nucleic Acids Research, Proceedings Genome Informatics Workshop/Genome informatics, Bioinformatics, Computer applications in the biosciences and BMC Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.