Masumi Itoh
About
In The Last Decade
Masumi Itoh
20 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 5.9k
- Plant Science 2.4k
- Ecology 1.3k
- Genetics 934
- Immunology 740
Countries citing papers authored by Masumi Itoh
This map shows the geographic impact of Masumi Itoh'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 Masumi Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masumi Itoh more than expected).
Fields of papers citing papers by Masumi Itoh
This network shows the impact of papers produced by Masumi Itoh. 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 Masumi Itoh. The network helps show where Masumi Itoh may publish in the future.
Co-authorship network of co-authors of Masumi Itoh
This figure shows the co-authorship network connecting the top 25 collaborators of Masumi Itoh. A scholar is included among the top collaborators of Masumi Itoh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masumi Itoh. Masumi Itoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 93 | |
| 4 | 3 | |
| 5 | 363 | |
| 6 | Network analysis of adverse drug interactions. | 9 |
| 7 | 4 | |
| 8 | 50 | |
| 9 | KAAS: an automatic genome annotation and pathway reconstruction server breakdown → | 3212 |
| 10 | KEGG for linking genomes to life and the environment breakdown → | 5387 |
| 11 | 45 | |
| 12 | 145 | |
| 13 | Analysis of the differences in metabolic network expansion between prokaryotes and eukaryotes. | 2 |
| 14 | 9 | |
| 15 | Clustering of database sequences for fast homology search using upper bounds on alignment score. | 9 |
| 16 | Using protein motif combinations to update KEGG pathway maps and orthologue tables. | 7 |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | Extraction of organism groups from phylogenetic profiles using independent component analysis. | 6 |
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.