Daishiro Miura
- Molecular Biology
- Pathology and Forensic Medicine top 2%
- Genetics top 5%
- Cancer Research top 5%
- Cell Biology top 5%
- Co-authors
- Vasily N. DobrovolskyRobert H. HeflichYoshinori KasaharaSeiichi IshizukaTakafumi KimotoAnthony W. NormanKeiichi OzonoYasuhiro Katsuura
- Topics
- Vitamin D Research Studies (18 papers)Estrogen and related hormone effects (11 papers)Biotin and Related Studies (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daishiro Miura
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 567
- Pathology and Forensic Medicine 520
- Genetics 454
- Cancer Research 378
- Cell Biology 235
Countries citing papers authored by Daishiro Miura
This map shows the geographic impact of Daishiro Miura'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 Daishiro Miura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daishiro Miura more than expected).
Fields of papers citing papers by Daishiro Miura
This network shows the impact of papers produced by Daishiro Miura. 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 Daishiro Miura. The network helps show where Daishiro Miura may publish in the future.
Co-authorship network of co-authors of Daishiro Miura
This figure shows the co-authorship network connecting the top 25 collaborators of Daishiro Miura. A scholar is included among the top collaborators of Daishiro Miura 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 Daishiro Miura. Daishiro Miura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 45 | |
| 4 | 18 | |
| 5 | 101 | |
| 6 | 34 | |
| 7 | 70 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 106 | |
| 11 | 33 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | Examination of immunosuppression by rat peripheral lymphocytes phenotyping : basic examination using rat peripheral blood after dosing DMBA, benzene, EGME (IMMUNE AND ALLERGIC SYSTEM) (GENERAL SESSION BY POSTER PRESENTATION) (Proceedings of the 30th Annual Meeting) | 1 |
| 15 | 25 | |
| 16 | 20 | |
| 17 | 95 | |
| 18 | 27 | |
| 19 | 9 | |
| 20 | 32 |
About Daishiro Miura
Daishiro Miura is a scholar working on Pathology and Forensic Medicine, Pharmaceutical Science and Cell Biology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vitamin D Research Studies (18 papers), Estrogen and related hormone effects (11 papers) and Biotin and Related Studies (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (520 citations), Cancer Research (378 citations) and Genetics (454 citations). Daishiro Miura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Vasily N. Dobrovolsky, Robert H. Heflich, Yoshinori Kasahara, Seiichi Ishizuka, Takafumi Kimoto, Anthony W. Norman, Keiichi Ozono, Yasuhiro Katsuura, Manabu Chokki and Stephen D. Dertinger. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters and Endocrinology.
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.