Seiyu Hosono
- Molecular Biology top 5%
- Genetics top 5%
- Ecology top 5%
- Cancer Research top 5%
- Plant Science top 10%
- Co-authors
- A. Fawad FaruqiZhenyu SunRoger S. LaskenYuefen DuStephen F. KingsmoreFrank B. DeanJing DuXiaohong Wu
- Topics
- Renal and related cancers (5 papers)Renal cell carcinoma treatment (3 papers)Chromosomal and Genetic Variations (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Seiyu Hosono
16 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.4k
- Genetics 572
- Ecology 321
- Cancer Research 311
- Plant Science 237
Countries citing papers authored by Seiyu Hosono
This map shows the geographic impact of Seiyu Hosono'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 Seiyu Hosono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiyu Hosono more than expected).
Fields of papers citing papers by Seiyu Hosono
This network shows the impact of papers produced by Seiyu Hosono. 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 Seiyu Hosono. The network helps show where Seiyu Hosono may publish in the future.
Co-authorship network of co-authors of Seiyu Hosono
This figure shows the co-authorship network connecting the top 25 collaborators of Seiyu Hosono. A scholar is included among the top collaborators of Seiyu Hosono 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 Seiyu Hosono. Seiyu Hosono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 23 | |
| 5 | 335 | |
| 6 | 63 | |
| 7 | 43 | |
| 8 | Comprehensive human genome amplification using multiple displacement amplificationbreakdown → | 1092 |
| 9 | 96 | |
| 10 | 104 | |
| 11 | 40 | |
| 12 | 43 | |
| 13 | 70 | |
| 14 | The tumor suppressor gene WT1 inhibits ras-mediated transformation. | 45 |
| 15 | Infrequent mutation of p53 gene in hepatitis B virus positive primary hepatocellular carcinomas. | 58 |
| 16 | Molecular analysis of the p53 alleles in primary hepatocellular carcinomas and cell lines. | 67 |
About Seiyu Hosono
Seiyu Hosono is a scholar working on Hepatology, Genetics and Cancer Research, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Renal cell carcinoma treatment (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cancer Research (311 citations) and Genetics (572 citations). Seiyu Hosono has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include A. Fawad Faruqi, Zhenyu Sun, Roger S. Lasken, Yuefen Du, Stephen F. Kingsmore, Frank B. Dean, Jing Du, Xiaohong Wu, Michael D. Miller and Mark D. Driscoll. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.