Mitsuhiro Itaya

7.8k citations
113 papers · 3.3k · 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 28
    • Genomics and Phylogenetic Studies 27
    • CRISPR and Genetic Engineering 17
    • Protein Structure and Dynamics 7
    • Photosynthetic Processes and Mechanisms 6
    • Bacterial Genetics and Biotechnology 80
    • Animal Genetics and Reproduction 6

Mitsuhiro Itaya

110 papers receiving 3.3k citations

Peers

Mitsuhiro Itaya
Comparison fields: 5 of 99
  • Genetics 1.6k
  • Ecology 1.2k
  • Molecular Biology 2.7k
  • Biotechnology 159
  • Molecular Medicine 73
Replace Masaya Fujita with:
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Mitsuhiro Itaya relative to Masaya Fujita Japan Masaya Fujita's profile →
Citations per field
00.5×1.5×
Masaya Fujita · 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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989156
2 1998150
3 2005147
4 1991130
5 1990127
6 1995112
7 2000112
8 2007110
9 2006107
10 201286
11 201081
12 201080
13 199972
14 199160
15 199260
16 199158
17 200557
18 199157
19 199256
20 199851

About Mitsuhiro Itaya

Mitsuhiro Itaya is a scholar working on Molecular Biology, Genetics, Ecology, Biotechnology and Materials Chemistry, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (80 papers), Bacteriophages and microbial interactions (71 papers), RNA and protein synthesis mechanisms (28 papers), Genomics and Phylogenetic Studies (27 papers), CRISPR and Genetic Engineering (17 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 (1.6k citations), Ecology (1.2k citations), Molecular Biology (2.7k citations), Biotechnology (159 citations) and Molecular Medicine (73 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 Mitsuru Haruki. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, The Journal of Biochemistry, Journal of Bacteriology, 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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