Ken‐ichi Yoshida
- Biotechnology top 1%
- Enzyme Production and Characterization 26
- Molecular Medicine top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 16
- Genomics and Phylogenetic Studies 15
- Genetics top 2%
- Bacterial Genetics and Biotechnology 45
- Biochemistry top 5%
-
- Bacteriophages and microbial interactions 28
-
- Enzyme Structure and Function 18
-
- Phytase and its Applications 13
-
- Toxic Organic Pollutants Impact 12
- Co-authors
- Hitoshi AshidaYasutaro FujitaYasutomi NishizukaShin NishiumiYoshinori AsaokaItsuko FukudaKosei TanakaKazuki Harada
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ken‐ichi Yoshida
208 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 139
- Biotechnology 490
- Molecular Medicine 275
- Molecular Biology 3.2k
- Genetics 1.1k
- Biochemistry 182
Countries citing papers authored by Ken‐ichi Yoshida
This map shows the geographic impact of Ken‐ichi Yoshida'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 Ken‐ichi Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Yoshida more than expected).
Fields of papers citing papers by Ken‐ichi Yoshida
This network shows the impact of papers produced by Ken‐ichi Yoshida. 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 Ken‐ichi Yoshida. The network helps show where Ken‐ichi Yoshida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken‐ichi Yoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2016 | 95 | |
| 9 | 2015 | 30 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 35 | |
| 12 | 2007 | 108 | |
| 13 | 2006 | 12 | |
| 14 | 2006 | 35 | |
| 15 | 2003 | 41 | |
| 16 | 2003 | 66 | |
| 17 | 2001 | 121 | |
| 18 | 1996 | 26 | |
| 19 | 1993 | 30 | |
| 20 | 1988 | 5 |
About Ken‐ichi Yoshida
Ken‐ichi Yoshida is a scholar working on Biotechnology, Genetics and Molecular Biology, having authored 215 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (45 papers), Bacteriophages and microbial interactions (28 papers), Enzyme Production and Characterization (26 papers), Enzyme Structure and Function (18 papers), RNA and protein synthesis mechanisms (16 papers), Genomics and Phylogenetic Studies (15 papers), Phytase and its Applications (13 papers) and Toxic Organic Pollutants Impact (12 papers). The work is most often cited by research in Biotechnology (490 citations), Molecular Medicine (275 citations) and Molecular Biology (3.2k citations). Ken‐ichi Yoshida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hitoshi Ashida, Yasutaro Fujita, Yasutomi Nishizuka, Shin Nishiumi, Yoshinori Asaoka, Itsuko Fukuda, Kosei Tanaka, Kazuki Harada, Shinji Takenaka and Tetsutaro Shinomura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.