Masatoshi Tagawa
- Molecular Biology top 5%
- Oncology top 1%
- Immunology top 2%
- Genetics top 2%
- Cancer Research top 5%
- Co-authors
- Kiyoko KawamuraShigeru SakiyamaHideaki ShimadaJiyang O‐WangHiromitsu SaishoOsamu ShimozatoKenzo HiroshimaYuji Tada
- Topics
- Virus-based gene therapy research (69 papers)Immunotherapy and Immune Responses (44 papers)Cancer Research and Treatments (43 papers)
- Cited by
- ImmunologyOncologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masatoshi Tagawa
209 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.3k
- Oncology 1.7k
- Immunology 1.5k
- Genetics 1.0k
- Cancer Research 564
Countries citing papers authored by Masatoshi Tagawa
This map shows the geographic impact of Masatoshi Tagawa'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 Masatoshi Tagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Tagawa more than expected).
Fields of papers citing papers by Masatoshi Tagawa
This network shows the impact of papers produced by Masatoshi Tagawa. 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 Masatoshi Tagawa. The network helps show where Masatoshi Tagawa may publish in the future.
Co-authorship network of co-authors of Masatoshi Tagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Tagawa. A scholar is included among the top collaborators of Masatoshi Tagawa 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 Masatoshi Tagawa. Masatoshi Tagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 30 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 32 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 94 | |
| 12 | Up-regulation of the error-prone DNA polymerase {kappa} promotes pleiotropic genetic alterations and tumorigenesis. | 81 |
| 13 | 63 | |
| 14 | 11 | |
| 15 | 21 | |
| 16 | 32 | |
| 17 | DNA polymerase kappa, implicated in spontaneous and DNA damage-induced mutagenesis, is overexpressed in lung cancer. | 106 |
| 18 | 6 | |
| 19 | 17 | |
| 20 | 36 |
About Masatoshi Tagawa
Masatoshi Tagawa is a scholar working on Biotechnology, Immunology and Oncology, having authored 210 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (69 papers), Immunotherapy and Immune Responses (44 papers) and Cancer Research and Treatments (43 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.7k citations) and Biotechnology (431 citations). Masatoshi Tagawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kiyoko Kawamura, Shigeru Sakiyama, Hideaki Shimada, Jiyang O‐Wang, Hiromitsu Saisho, Osamu Shimozato, Kenzo Hiroshima, Yuji Tada, Ling Yu and Masako Chiyo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.