Mitsuoki Morimyo

808 citations
24 papers · 715 · h-index 12

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 4
    • Evolution and Genetic Dynamics 3
    • RNA and protein synthesis mechanisms 6
    • DNA Repair Mechanisms 4
    • Fungal and yeast genetics research 4
    • RNA Interference and Gene Delivery 3
    • Insect Resistance and Genetics 3

Mitsuoki Morimyo

22 papers receiving 659 citations

Peers

Mitsuoki Morimyo
Comparison fields: 5 of 79
  • Insect Science 114
  • Molecular Medicine 37
  • Molecular Biology 481
  • Genetics 162
  • Biomaterials 69
Replace Kevin O’Hare with:
Kevin O’Hare United Kingdom
William J. Mackay United States
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuoki Morimyo

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuoki Morimyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuoki Morimyo, 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 Mitsuoki Morimyo Line = papers co-authored together Mitsuoki Morimyo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003234
2 1997167
3 199262
4 199857
5 197624
6 199922
7 200021
8 196820
9 199515
10 199714
11 199512
12 199712
13 200611
14
The construction of EST database for genome analysis of Bombyx mori
199910
15 199810
16 20006
17 19764
18 19984
19 19943
20 20003

About Mitsuoki Morimyo

Mitsuoki Morimyo is a scholar working on Genetics, Molecular Biology, Biomaterials, Insect Science and Toxicology, having authored 24 papers that have together received 715 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers), DNA Repair Mechanisms (4 papers), Fungal and yeast genetics research (4 papers), Silk-based biomaterials and applications (4 papers), Evolution and Genetic Dynamics (3 papers), RNA Interference and Gene Delivery (3 papers) and Insect Resistance and Genetics (3 papers). The work is most often cited by research in Insect Science (114 citations), Molecular Medicine (37 citations), Molecular Biology (481 citations), Genetics (162 citations) and Biomaterials (69 citations). Mitsuoki Morimyo has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kazuei Mita, Toru Shimada, Kazuhiro Okano, Susumu Maeda, Junko Nohata, Hideki Kawasaki, Kimiko Yamamoto, Marian R. Goldsmith, Keiko Kadono‐Okuda and Masataka G. Suzuki. Their work appears in journals such as Gene, Nucleic Acids Research, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Proceedings of the National Academy of Sciences and Journal of Experimental Zoology.

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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