Masumi Itoh

12.3k total citations · 2 hit papers
20 papers, 9.4k citations indexed

About

Masumi Itoh is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, Masumi Itoh has authored 20 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Ecology. Recurrent topics in Masumi Itoh's work include Genomics and Phylogenetic Studies (14 papers), Machine Learning in Bioinformatics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Masumi Itoh is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Machine Learning in Bioinformatics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Masumi Itoh collaborates with scholars based in Japan, Spain and Switzerland. Masumi Itoh's co-authors include Minoru Kanehisa, Shujiro Okuda, Yuki Moriya, Akiyasu C. Yoshizawa, Shuichi Kawashima, Susumu Goto, Toshiaki Tokimatsu, Yoshihiro Yamanishi, Masahiro Hattori and Michihiro Araki and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Masumi Itoh

20 papers receiving 9.3k citations

Hit Papers

KEGG for linking genomes to life and the environment 2007 2026 2013 2019 2007 2007 1000 2.0k 3.0k 4.0k 5.0k

Peers

Masumi Itoh
Comparison fields: 5 of 161
  • Molecular Biology 5.9k
  • Plant Science 2.4k
  • Ecology 1.3k
  • Genetics 934
  • Immunology 740
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Citations per field, relative to Masumi Itoh
Masumi Itoh · 1×
Citations per year, relative to Masumi Itoh
Masumi Itoh · 1×

Countries citing papers authored by Masumi Itoh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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.

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2026