Masaki Akimoto
- Immunology top 10%
- Agronomy and Crop Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Oncology
- Molecular Biology
- Co-authors
- Tomohiro KozakoChuwa TeiKakushi MatsushitaNaomichi ArimaMakoto YoshimitsuSusumu SuzukiYohann WhiteSawako Horai
- Topics
- T-cell and Retrovirus Studies (12 papers)Vector-Borne Animal Diseases (8 papers)Animal Disease Management and Epidemiology (6 papers)
- Partner nations
- Japan
In The Last Decade
Masaki Akimoto
24 papers receiving 464 citations
Peers
Comparison fields: 5 of 58
- Immunology 321
- Agronomy and Crop Science 163
- Ecology, Evolution, Behavior and Systematics 162
- Oncology 98
- Molecular Biology 50
Countries citing papers authored by Masaki Akimoto
This map shows the geographic impact of Masaki Akimoto'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 Masaki Akimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Akimoto more than expected).
Fields of papers citing papers by Masaki Akimoto
This network shows the impact of papers produced by Masaki Akimoto. 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 Masaki Akimoto. The network helps show where Masaki Akimoto may publish in the future.
Co-authorship network of co-authors of Masaki Akimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Akimoto. A scholar is included among the top collaborators of Masaki Akimoto 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 Masaki Akimoto. Masaki Akimoto 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 | 22 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 148 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | 8 | |
| 15 | Clinical manifestations of human T lymphotropic virus type I-infected patients with systemic lupus erythematosus. | 14 |
| 16 | 60 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 25 | |
| 20 | Herpes simplex virus thymidine kinase/ganciclovir-mediated killing of tumor cell induces tumor-specific cytotoxic T cells in mice. | 44 |
About Masaki Akimoto
Masaki Akimoto is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 466 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (12 papers), Vector-Borne Animal Diseases (8 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Agronomy and Crop Science (163 citations), Immunology (321 citations) and Ecology, Evolution, Behavior and Systematics (162 citations). Masaki Akimoto has collaborated with scholars based in Japan. Frequent co-authors include Tomohiro Kozako, Chuwa Tei, Kakushi Matsushita, Naomichi Arima, Makoto Yoshimitsu, Susumu Suzuki, Yohann White, Sawako Horai, Hiroshi Fujiwara and Nobuyoshi Arima. Their work appears in journals such as Blood, The Journal of Immunology and Nutrients.
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.