Kô Aida
Impact in
- Microbiology top 2%
- Actinomycetales infections and treatment
- Biochemistry top 10%
Papers in
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- Microbial Metabolic Engineering and Bioproduction 13
- Microbial metabolism and enzyme function 10
- Glycosylation and Glycoproteins Research 7
- RNA and protein synthesis mechanisms 6
-
- Carbohydrate Chemistry and Synthesis 12
- Co-authors
- Kinya Uchida (7 shared papers)Teijirô Uemura (32 shared papers)Kunio Ōishi (26 shared papers)Yuzo Yamada (10 shared papers)Hiroshi Kuraishi (10 shared papers)Toshinobu ASAI (8 shared papers)Mikiko Ito (4 shared papers)Kazuyoshi Kawahara (4 shared papers)
- Journals
- The Journal of General and Applied Microbiology (29 papers)The Journal of Biochemistry (4 papers)Chemical and Pharmaceutical Bulletin (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)Virology (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Kô Aida
86 papers receiving 669 citations
Peers
Comparison fields: 5 of 84
- Microbiology 53
- Biochemistry 72
- Biotechnology 79
- Molecular Biology 579
- Cell Biology 101
Countries citing papers authored by Kô Aida
This map shows the geographic impact of Kô Aida'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 Kô Aida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kô Aida more than expected).
Fields of papers citing papers by Kô Aida
This network shows the impact of papers produced by Kô Aida. 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 Kô Aida. The network helps show where Kô Aida may publish in the future.
Co-authors
The 25 scholars most cited alongside Kô Aida, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 241 | |
| 2 | 1973 | 36 | |
| 3 | 1979 | 24 | |
| 4 | 1962 | 21 | |
| 5 | 1982 | 18 | |
| 6 | 1965 | 17 | |
| 7 | 1968 | 17 | |
| 8 | 1966 | 16 | |
| 9 | 1970 | 14 | |
| 10 | 1979 | 13 | |
| 11 | 1967 | 13 | |
| 12 | 1959 | 13 | |
| 13 | 1968 | 12 | |
| 14 | 1969 | 12 | |
| 15 | 1973 | 12 | |
| 16 | 1972 | 12 | |
| 17 | 1968 | 10 | |
| 18 | 1983 | 10 | |
| 19 | 1968 | 10 | |
| 20 | 1974 | 9 |
About Kô Aida
Kô Aida is a scholar working on Molecular Biology, Organic Chemistry, Biochemistry, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 87 papers that have together received 770 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (13 papers), Carbohydrate Chemistry and Synthesis (12 papers), Amino Acid Enzymes and Metabolism (12 papers), Biotin and Related Studies (11 papers), Microbial metabolism and enzyme function (10 papers), Glycosylation and Glycoproteins Research (7 papers), Diet, Metabolism, and Disease (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Microbiology (53 citations), Biochemistry (72 citations), Biotechnology (79 citations), Molecular Biology (579 citations) and Cell Biology (101 citations). Kô Aida has collaborated with scholars based in Japan and United States. Frequent co-authors include Kinya Uchida, Teijirô Uemura, Kunio Ōishi, Yuzo Yamada, Hiroshi Kuraishi, Toshinobu ASAI, Mikiko Ito, Kazuyoshi Kawahara, Takeshi Tokuyama and Yoko Fujita. Their work appears in journals such as The Journal of General and Applied Microbiology, The Journal of Biochemistry, Chemical and Pharmaceutical Bulletin, Biochimica et Biophysica Acta (BBA) - General Subjects and Virology.
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.