Yoshio Kimura

1.7k citations
79 papers · 1.4k · h-index 18

Impact in

    • Microbial Metabolism and Applications
    • Enzyme Production and Characterization
    • Calpain Protease Function and Regulation

Papers in

    • RNA and protein synthesis mechanisms 11
    • Genomics and Phylogenetic Studies 6
    • Bacterial Genetics and Biotechnology 19
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 5

Yoshio Kimura

77 papers receiving 1.4k citations

Peers

Yoshio Kimura
Comparison fields: 5 of 96
  • Biotechnology 188
  • Cell Biology 256
  • Molecular Biology 690
  • Plant Science 350
  • Animal Science and Zoology 95
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A. John United States
Françoise Schoentgen France
Ursula Bond Ireland
Xiaoyu Wang China
Yoshiho Nagata Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yoshio Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Yoshio Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008166
2 1995155
3 1981138
4 1981111
5 199086
6
Effects of in vivo administration of anti-IL-10 monoclonal antibody on the host defence mechanism against murine Salmonella infection.
199552
7 199751
8 200036
9 198836
10 200234
11 199834
12 199132
13 200926
14 199524
15 201622
16 200521
17 200020
18 201417
19 200017
20 201116

About Yoshio Kimura

Yoshio Kimura is a scholar working on Molecular Biology, Genetics, Epidemiology, Plant Science and Biotechnology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), RNA and protein synthesis mechanisms (11 papers), Peptidase Inhibition and Analysis (8 papers), Enzyme Structure and Function (6 papers), Influenza Virus Research Studies (6 papers), Genomics and Phylogenetic Studies (6 papers), Microbial Natural Products and Biosynthesis (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). The work is most often cited by research in Biotechnology (188 citations), Cell Biology (256 citations), Molecular Biology (690 citations), Plant Science (350 citations) and Animal Science and Zoology (95 citations). Yoshio Kimura has collaborated with scholars based in Japan, Germany and Sweden. Frequent co-authors include Kaoru Takegawa, Koichi Suzuki, Shuichi Tsuji, Kazutomo Imahori, Shunichiro Kubota, Masaaki Kuwahara, Yasuhiko Asada, Kenji Takeuchi, K Nakakuki and Takayuki Komatsu. Their work appears in journals such as Journal of Bacteriology, The Journal of Biochemistry, Journal of General Virology, Current Microbiology and The Journal of General and Applied Microbiology.

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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