J. Azuma
- Genetics top 10%
- Insect Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Gaku TokudaHiroyuki SaitohKeisuke NakashimaHirofumi WatanabeTsuneo InoueKoichiro MurashimaM. SlaytorAsako Sugimoto
- Topics
- Biofuel production and bioconversion (4 papers)Enzyme-mediated dye degradation (3 papers)Lignin and Wood Chemistry (3 papers)
In The Last Decade
J. Azuma
29 papers receiving 672 citations
Peers
Comparison fields: 5 of 102
- Genetics 281
- Insect Science 223
- Ecology, Evolution, Behavior and Systematics 201
- Molecular Biology 178
- Biomedical Engineering 125
Countries citing papers authored by J. Azuma
This map shows the geographic impact of J. Azuma'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 J. Azuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Azuma more than expected).
Fields of papers citing papers by J. Azuma
This network shows the impact of papers produced by J. Azuma. 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 J. Azuma. The network helps show where J. Azuma may publish in the future.
Co-authorship network of co-authors of J. Azuma
This figure shows the co-authorship network connecting the top 25 collaborators of J. Azuma. A scholar is included among the top collaborators of J. Azuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Azuma. J. Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | Endothelial progenitor cells in clinical settings. | 2 |
| 3 | 6 | |
| 4 | 37 | |
| 5 | 16 | |
| 6 | 63 | |
| 7 | 23 | |
| 8 | 91 | |
| 9 | 189 | |
| 10 | 21 | |
| 11 | Phase I safety study of Interferon alfacon-1 in healthy volunteers | 2 |
| 12 | 110 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | Study on safety and pharmacokinetics of MC 903 ointment in normal volunteers : phase I study | 2 |
| 16 | Modulation of cardiac Ca++ current by taurine. | 3 |
| 17 | Wood saccharification by enzyme systems without prior delignification | 4 |
| 18 | Clinicopathological correlations in patients who received an isolated model 104 Beall mitral valve. | 4 |
| 19 | 17 | |
| 20 | Vitamin B6 deficiency in patients with a clinical syndrome including the carpal tunnel defect. Biochemical and clinical response to therapy with pyridoxine. | 16 |
About J. Azuma
J. Azuma is a scholar working on Clinical Biochemistry, Biological Psychiatry and Insect Science, having authored 29 papers that have together received 710 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (4 papers), Enzyme-mediated dye degradation (3 papers) and Lignin and Wood Chemistry (3 papers). The work is most often cited by research in Insect Science (223 citations), Ecology, Evolution, Behavior and Systematics (201 citations) and Genetics (281 citations). J. Azuma has collaborated with scholars based in Japan, Indonesia and Australia. Frequent co-authors include Gaku Tokuda, Hiroyuki Saitoh, Keisuke Nakashima, Hirofumi Watanabe, Tsuneo Inoue, Koichiro Murashima, M. Slaytor, Asako Sugimoto, Fujio Hyodo and Takuya Abe. Their work appears in journals such as Journal of Food Science, Functional Ecology and Journal of Molecular and Cellular Cardiology.
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.