Yoshio Kimura
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Microbial Metabolism and Applications
- Cell Biology top 5%
- Calpain Protease Function and Regulation
Papers in
-
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 6
- Genetics 20
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Kaoru Takegawa (18 shared papers)Shunichiro Kubota (2 shared papers)Kazutomo Imahori (2 shared papers)Shuichi Tsuji (2 shared papers)Koichi Suzuki (2 shared papers)Yasuhiko Asada (3 shared papers)Masaaki Kuwahara (3 shared papers)Takayuki Komatsu (1 shared paper)
In The Last Decade
Yoshio Kimura
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Biotechnology 192
- Cell Biology 259
- Molecular Biology 705
- Plant Science 358
- Animal Science and Zoology 96
Countries citing papers authored by Yoshio Kimura
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
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.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 166 | |
| 2 | 1995 | 155 | |
| 3 | 1981 | 138 | |
| 4 | 1981 | 112 | |
| 5 | 1990 | 86 | |
| 6 | Effects of in vivo administration of anti-IL-10 monoclonal antibody on the host defence mechanism against murine Salmonella infection. | 1995 | 52 |
| 7 | 1997 | 50 | |
| 8 | 2000 | 36 | |
| 9 | 1988 | 36 | |
| 10 | 1998 | 34 | |
| 11 | 2002 | 34 | |
| 12 | 1991 | 32 | |
| 13 | 1995 | 24 | |
| 14 | 2009 | 24 | |
| 15 | 2005 | 21 | |
| 16 | 2000 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2000 | 17 | |
| 19 | 1999 | 16 | |
| 20 | 2014 | 16 |
About Yoshio Kimura
Yoshio Kimura is a scholar working on Molecular Biology, Genetics, Epidemiology, Plant Science and Biotechnology, having authored 80 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), Microbial Natural Products and Biosynthesis (6 papers), Genomics and Phylogenetic Studies (6 papers), Influenza Virus Research Studies (6 papers), Enzyme Structure and Function (6 papers) and Microbial Metabolism and Applications (5 papers). The work is most often cited by research in Biotechnology (192 citations), Cell Biology (259 citations), Molecular Biology (705 citations), Plant Science (358 citations) and Animal Science and Zoology (96 citations). Yoshio Kimura has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Kaoru Takegawa, Shunichiro Kubota, Kazutomo Imahori, Shuichi Tsuji, Koichi Suzuki, Yasuhiko Asada, Masaaki Kuwahara, Takayuki Komatsu, Kenji Takeuchi and M. Sudo. 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.