Takemi Sakamoto
- Genetics top 10%
- Molecular Biology
- Epidemiology
- Oncology
- Biotechnology top 10%
- Co-authors
- Shigeki KuriyamaKazuhiro MasuiToshiya NakataniTadasu TsujiiHiroshi FukuiKazuhiro IkenakaMasahide YoshikawaMasaji Kikukawa
- Topics
- Virus-based gene therapy research (8 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)RNA Interference and Gene Delivery (3 papers)
- Cited by
- BiotechnologyGeneticsHepatology
- Partner nations
- JapanChinaUnited States
In The Last Decade
Takemi Sakamoto
14 papers receiving 358 citations
Peers
Comparison fields: 5 of 45
- Genetics 223
- Molecular Biology 185
- Epidemiology 95
- Oncology 89
- Biotechnology 84
Countries citing papers authored by Takemi Sakamoto
This map shows the geographic impact of Takemi Sakamoto'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 Takemi Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takemi Sakamoto more than expected).
Fields of papers citing papers by Takemi Sakamoto
This network shows the impact of papers produced by Takemi Sakamoto. 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 Takemi Sakamoto. The network helps show where Takemi Sakamoto may publish in the future.
Co-authorship network of co-authors of Takemi Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Takemi Sakamoto. A scholar is included among the top collaborators of Takemi Sakamoto 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 Takemi Sakamoto. Takemi Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 42 | |
| 3 | Bystander effect caused by cytosine deaminase gene and 5-fluorocytosine in vitro is substantially mediated by generated 5-fluorouracil. | 43 |
| 4 | 29 | |
| 5 | 68 | |
| 6 | 20 | |
| 7 | Evaluation of prodrugs ability to induce effective ablation of cells transduced with viral thymidine kinase gene. | 9 |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 57 | |
| 11 | 10 | |
| 12 | [Recurrence of pleomorphic xanthoastrocytoma six years after total removal of mural nodule: a case report]. | 4 |
| 13 | 31 | |
| 14 | 9 |
About Takemi Sakamoto
Takemi Sakamoto is a scholar working on Genetics, Genetics and Hepatology, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biotechnology (84 citations), Genetics (223 citations) and Hepatology (56 citations). Takemi Sakamoto has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Shigeki Kuriyama, Kazuhiro Masui, Toshiya Nakatani, Tadasu Tsujii, Hiroshi Fukui, Kazuhiro Ikenaka, Masahide Yoshikawa, Masaji Kikukawa, Guangwen Cao and Zhongtian Qi. Their work appears in journals such as Gastroenterology, Hepatology and International Journal of Cancer.
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.