Makoto Rokutanda
- Co-authors
- Maurice GreenYukiko MaedaNariyoshi ShinomiyaSumiyo WatanabeRanjit RayKei FujinagaCorrado GurgoS Tsuru
- Topics
- Virus-based gene therapy research (7 papers)DNA Repair Mechanisms (4 papers)Immune Response and Inflammation (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Makoto Rokutanda
30 papers receiving 671 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 327
- Oncology 166
- Plant Science 137
- Genetics 118
- Immunology 96
Countries citing papers authored by Makoto Rokutanda
This map shows the geographic impact of Makoto Rokutanda'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 Makoto Rokutanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Rokutanda more than expected).
Fields of papers citing papers by Makoto Rokutanda
This network shows the impact of papers produced by Makoto Rokutanda. 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 Makoto Rokutanda. The network helps show where Makoto Rokutanda may publish in the future.
Co-authorship network of co-authors of Makoto Rokutanda
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Rokutanda. A scholar is included among the top collaborators of Makoto Rokutanda 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 Makoto Rokutanda. Makoto Rokutanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 56 | |
| 8 | 41 | |
| 9 | 5 | |
| 10 | Therapeutic effect of granulocyte colony-stimulating factor (G-CSF) on the protection against Listeria infection in SCID mice. | 15 |
| 11 | 9 | |
| 12 | Effects of macrophage colony-stimulating factor on the activities of murine monocytes and peritoneal macrophages in vivo. | 5 |
| 13 | 1 | |
| 14 | [Basic study of chemo-embolization of the liver using hydroxyapatite granules]. | 1 |
| 15 | Denaturation and renaturation of a beta-1,6;1,3-glucan, lentinan, associated with expression of T-cell-mediated responses. | 100 |
| 16 | 19 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | Increased sensitivity of fibroblasts of skin from patients with adenomatosis coli and Peutz-Jegher's syndrome to transformation by murine sarcoma virus. | 18 |
| 20 | 84 |
About Makoto Rokutanda
Makoto Rokutanda is a scholar working on Physiology, Endocrinology and Biotechnology, having authored 31 papers that have together received 723 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), DNA Repair Mechanisms (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Animal Science and Zoology (82 citations), Oncology (166 citations) and Virology (25 citations). Makoto Rokutanda has collaborated with scholars based in Japan and United States. Frequent co-authors include Maurice Green, Yukiko Maeda, Nariyoshi Shinomiya, Sumiyo Watanabe, Ranjit Ray, Kei Fujinaga, Corrado Gurgo, S Tsuru, Yoshiya Katsura and Goro Chihara. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and 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.