Takemasa Sakaguchi
- Epidemiology top 1%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Animal Science and Zoology top 1%
- Genetics top 5%
- Co-authors
- George A. BrayTetsuya YoshidaYoshiyuki NagaiKatsuhiro KiyotaniTakashi IrieTetsuya ToyodaRobert A. LambBin Gotoh
- Topics
- Virology and Viral Diseases (36 papers)Viral Infections and Vectors (24 papers)Virus-based gene therapy research (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Takemasa Sakaguchi
174 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 140
- Epidemiology 1.8k
- Infectious Diseases 1.1k
- Molecular Biology 813
- Animal Science and Zoology 566
- Genetics 556
Countries citing papers authored by Takemasa Sakaguchi
This map shows the geographic impact of Takemasa Sakaguchi'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 Takemasa Sakaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takemasa Sakaguchi more than expected).
Fields of papers citing papers by Takemasa Sakaguchi
This network shows the impact of papers produced by Takemasa Sakaguchi. 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 Takemasa Sakaguchi. The network helps show where Takemasa Sakaguchi may publish in the future.
Co-authorship network of co-authors of Takemasa Sakaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takemasa Sakaguchi. A scholar is included among the top collaborators of Takemasa Sakaguchi 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 Takemasa Sakaguchi. Takemasa Sakaguchi 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 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 19 | |
| 12 | 19 | |
| 13 | 19 | |
| 14 | Suppression of interferon-related promoter activation by hepatitis C virus proteins expressed in cultured cells. | 1 |
| 15 | 25 | |
| 16 | 49 | |
| 17 | 34 | |
| 18 | [Structure and function of the influenza virus M2 ion channel protein]. | 1 |
| 19 | 25 | |
| 20 | 15 |
About Takemasa Sakaguchi
Takemasa Sakaguchi is a scholar working on Endocrine and Autonomic Systems, Infectious Diseases and Epidemiology, having authored 178 papers that have together received 4.3k indexed citations. Recurring topics across this work include Virology and Viral Diseases (36 papers), Viral Infections and Vectors (24 papers) and Virus-based gene therapy research (20 papers). The work is most often cited by research in Endocrine and Autonomic Systems (496 citations), Infectious Diseases (1.1k citations) and Animal Science and Zoology (566 citations). Takemasa Sakaguchi has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include George A. Bray, Tetsuya Yoshida, Yoshiyuki Nagai, Katsuhiro Kiyotani, Takashi Irie, Tetsuya Toyoda, Robert A. Lamb, Bin Gotoh, Koichi Arase and George P. Leser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.