Takayuki Uwajima
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Biotechnology top 5%
Papers in
-
- Steroid Chemistry and Biochemistry 16
- Enzyme Catalysis and Immobilization 16
- Microbial Metabolic Engineering and Bioproduction 13
- Polyamine Metabolism and Applications 9
- Biochemistry 14
- Amino Acid Enzymes and Metabolism 11
- Co-authors
- Osamu Terada (36 shared papers)Hiroyuki Uchida (10 shared papers)Tetsuya Fukuda (3 shared papers)Kazuo Aisaka (20 shared papers)Takahiro Kawabata (2 shared papers)Motoshi Suzuki (2 shared papers)Hidehiko Kumagai (5 shared papers)Kôichi Ogata (5 shared papers)
In The Last Decade
Takayuki Uwajima
69 papers receiving 886 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 146
- Biotechnology 124
- Pollution 166
- Biochemistry 74
- Health, Toxicology and Mutagenesis 135
Countries citing papers authored by Takayuki Uwajima
This map shows the geographic impact of Takayuki Uwajima'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 Takayuki Uwajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Uwajima more than expected).
Fields of papers citing papers by Takayuki Uwajima
This network shows the impact of papers produced by Takayuki Uwajima. 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 Takayuki Uwajima. The network helps show where Takayuki Uwajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Takayuki Uwajima, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 131 | |
| 2 | 2001 | 96 | |
| 3 | 1974 | 55 | |
| 4 | 2004 | 52 | |
| 5 | 2002 | 36 | |
| 6 | 1973 | 36 | |
| 7 | 2004 | 32 | |
| 8 | 1992 | 26 | |
| 9 | 2003 | 25 | |
| 10 | 1990 | 24 | |
| 11 | 1992 | 21 | |
| 12 | 1976 | 20 | |
| 13 | 1988 | 18 | |
| 14 | 1976 | 17 | |
| 15 | 1991 | 17 | |
| 16 | 1990 | 16 | |
| 17 | 1967 | 16 | |
| 18 | 1967 | 16 | |
| 19 | 1987 | 15 | |
| 20 | 2002 | 14 |
About Takayuki Uwajima
Takayuki Uwajima is a scholar working on Molecular Biology, Biochemistry, Plant Science, Pharmacology and Biomedical Engineering, having authored 70 papers that have together received 941 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (16 papers), Enzyme Catalysis and Immobilization (16 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Amino Acid Enzymes and Metabolism (11 papers), Polyamine Metabolism and Applications (9 papers), Enzyme-mediated dye degradation (8 papers), Enzyme Structure and Function (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Pharmacology (146 citations), Biotechnology (124 citations), Pollution (166 citations), Biochemistry (74 citations) and Health, Toxicology and Mutagenesis (135 citations). Takayuki Uwajima has collaborated with scholars based in Japan, Singapore and Vietnam. Frequent co-authors include Osamu Terada, Hiroyuki Uchida, Tetsuya Fukuda, Kazuo Aisaka, Takahiro Kawabata, Motoshi Suzuki, Hidehiko Kumagai, Kôichi Ogata, Hideaki Yamada and Kenichi Mochida. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bioscience Biotechnology and Biochemistry, Biotechnology Letters, Applied Microbiology and Biotechnology and Journal of the Chemical Society Perkin Transactions 1.
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.