Toshio Seyama
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Takuya MizunoKazuyoshi YanagiharaNaohiro TsuyamaSeishi KyoizumiNori NakamuraMitsuaki AkiyamaTakashi ItoKeisuke S. Iwamoto
- Topics
- Cancer-related Molecular Pathways (12 papers)DNA Repair Mechanisms (9 papers)RNA Interference and Gene Delivery (9 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Toshio Seyama
84 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.1k
- Oncology 717
- Endocrinology, Diabetes and Metabolism 497
- Cancer Research 355
- Radiology, Nuclear Medicine and Imaging 277
Countries citing papers authored by Toshio Seyama
This map shows the geographic impact of Toshio Seyama'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 Toshio Seyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Seyama more than expected).
Fields of papers citing papers by Toshio Seyama
This network shows the impact of papers produced by Toshio Seyama. 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 Toshio Seyama. The network helps show where Toshio Seyama may publish in the future.
Co-authorship network of co-authors of Toshio Seyama
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Seyama. A scholar is included among the top collaborators of Toshio Seyama 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 Toshio Seyama. Toshio Seyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 8 | |
| 4 | 22 | |
| 5 | 7 | |
| 6 | 17 | |
| 7 | Study of Spontaneous and X-ray Induced Germ Cell Mutations in Mice Detected by Computer Assisted Two-Dimensional DNA Gel Analysis | 1 |
| 8 | A Dose Dependent Increase in the Frequency of p53 Mutations in Hepatocellular Carcinomas of the Atomic Bomb Survivors. | 1 |
| 9 | 75 | |
| 10 | 16 | |
| 11 | Gain-of-function p53 mutations enhance alteration of the T-cell receptor following X-irradiation, independently of the cell cycle and cell survival. | 54 |
| 12 | 17 | |
| 13 | 18 | |
| 14 | 21 | |
| 15 | 77 | |
| 16 | 101 | |
| 17 | 39 | |
| 18 | 12 | |
| 19 | 13 | |
| 20 | 2 |
About Toshio Seyama
Toshio Seyama is a scholar working on Cancer Research, Biotechnology and Oncology, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), DNA Repair Mechanisms (9 papers) and RNA Interference and Gene Delivery (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (497 citations), Oncology (717 citations) and Cancer Research (355 citations). Toshio Seyama has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takuya Mizuno, Kazuyoshi Yanagihara, Naohiro Tsuyama, Seishi Kyoizumi, Nori Nakamura, Mitsuaki Akiyama, Takashi Ito, Keisuke S. Iwamoto, K Dohi and Takanori Kubo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.
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.