Daizo Koga
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Insect Science top 2%
- Insect symbiosis and bacterial influences
- Entomopathogenic Microorganisms in Pest Control
Papers in
-
- Studies on Chitinases and Chitosanases 46
- Protein Hydrolysis and Bioactive Peptides 5
- Immunology 19
- Invertebrate Immune Response Mechanisms 19
- Co-authors
- Karl J. Kramer (9 shared papers)Akio Ide (28 shared papers)Michiko Kono (9 shared papers)Yasuyuki Arakane (3 shared papers)Shuhei Tanaka (6 shared papers)Joseph M. Jilka (2 shared papers)Takashi Matsui (6 shared papers)Shigeru Kimura (6 shared papers)
- Journals
- Bioscience Biotechnology and Biochemistry (18 papers)Insect Biochemistry and Molecular Biology (3 papers)The Journal of Biochemistry (2 papers)Phytochemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daizo Koga
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Biotechnology 327
- Insect Science 414
- Aquatic Science 163
- Immunology 439
- Molecular Biology 1.2k
Countries citing papers authored by Daizo Koga
This map shows the geographic impact of Daizo Koga'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 Daizo Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daizo Koga more than expected).
Fields of papers citing papers by Daizo Koga
This network shows the impact of papers produced by Daizo Koga. 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 Daizo Koga. The network helps show where Daizo Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Daizo Koga, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 218 | |
| 2 | 2003 | 80 | |
| 3 | 1983 | 77 | |
| 4 | 1998 | 67 | |
| 5 | 1997 | 57 | |
| 6 | 1981 | 54 | |
| 7 | 1995 | 48 | |
| 8 | 1992 | 48 | |
| 9 | 1982 | 47 | |
| 10 | 1987 | 46 | |
| 11 | 1995 | 45 | |
| 12 | 1992 | 42 | |
| 13 | 1987 | 39 | |
| 14 | 1992 | 35 | |
| 15 | 1990 | 35 | |
| 16 | 1995 | 34 | |
| 17 | 1984 | 31 | |
| 18 | 1990 | 30 | |
| 19 | 1999 | 28 | |
| 20 | 2006 | 24 |
About Daizo Koga
Daizo Koga is a scholar working on Molecular Biology, Immunology, Biotechnology, Plant Science and Insect Science, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (46 papers), Invertebrate Immune Response Mechanisms (19 papers), Enzyme Production and Characterization (12 papers), Silk-based biomaterials and applications (9 papers), Legume Nitrogen Fixing Symbiosis (8 papers), Insect Utilization and Effects (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and Aquaculture Nutrition and Growth (5 papers). The work is most often cited by research in Biotechnology (327 citations), Insect Science (414 citations), Aquatic Science (163 citations), Immunology (439 citations) and Molecular Biology (1.2k citations). Daizo Koga has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Karl J. Kramer, Akio Ide, Michiko Kono, Yasuyuki Arakane, Shuhei Tanaka, Joseph M. Jilka, Takashi Matsui, Shigeru Kimura, Yasunori Nagamatsu and Tamo Fukamizo. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Insect Biochemistry and Molecular Biology, The Journal of Biochemistry, Phytochemistry and FEBS Letters.
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.