Mitsuhiro Itaya

7.8k citations
119 papers · 3.5k · h-index 32

Impact in

  • Genetics top 1%
    • Bacterial Genetics and Biotechnology
  • Ecology top 1%
    • Bacteriophages and microbial interactions

Papers in

    • RNA and protein synthesis mechanisms 29
    • Genomics and Phylogenetic Studies 28
    • CRISPR and Genetic Engineering 19
    • Protein Structure and Dynamics 7
    • Photosynthetic Processes and Mechanisms 6
    • Bacterial Genetics and Biotechnology 85
    • Animal Genetics and Reproduction 6

Mitsuhiro Itaya

115 papers receiving 3.4k citations

Peers

Mitsuhiro Itaya
Comparison fields: 5 of 100
  • Genetics 1.8k
  • Ecology 1.3k
  • Molecular Biology 2.9k
  • Biotechnology 170
  • Molecular Medicine 74
Replace Fujio Kawamura with:
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Mitsuhiro Itaya relative to Fujio Kawamura Japan Fujio Kawamura's profile →
Citations per field
00.5×1.7×
Fujio Kawamura · 1×
Citations per year

Countries citing papers authored by Mitsuhiro Itaya

Since Specialization
Citations

This map shows the geographic impact of Mitsuhiro Itaya'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 Mitsuhiro Itaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Itaya more than expected).

Fields of papers citing papers by Mitsuhiro Itaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitsuhiro Itaya. 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 Mitsuhiro Itaya. The network helps show where Mitsuhiro Itaya may publish in the future.

Co-authors

The 25 scholars most cited alongside Mitsuhiro Itaya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsuhiro Itaya Line = papers co-authored together Mitsuhiro Itaya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989160
2 2005160
3 1998153
4 1991142
5 1990131
6 2007123
7 1995119
8 2000115
9 2006112
10 201294
11 201085
12 201083
13 199972
14 200565
15 199263
16 199161
17 199160
18 199159
19 199256
20 199855

About Mitsuhiro Itaya

Mitsuhiro Itaya is a scholar working on Molecular Biology, Genetics, Ecology, Biotechnology and Food Science, having authored 119 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (85 papers), Bacteriophages and microbial interactions (74 papers), RNA and protein synthesis mechanisms (29 papers), Genomics and Phylogenetic Studies (28 papers), CRISPR and Genetic Engineering (19 papers), Protein Structure and Dynamics (7 papers), Animal Genetics and Reproduction (6 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Genetics (1.8k citations), Ecology (1.3k citations), Molecular Biology (2.9k citations), Biotechnology (170 citations) and Molecular Medicine (74 citations). Mitsuhiro Itaya has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Teruo Tanaka, Kenji Tsuge, Robert J. Crouch, Masaru Tomita, Naoto Ohtani, Kanae Kondo, Kyoko Fujita, Shigenori Kanaya, Shinya Kaneko and Hiroshi Yanagawa. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Bacteriology, The Journal of Biochemistry, Applied and Environmental Microbiology and Nucleic Acids Research.

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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