Teruyo Sakakura
- Molecular Biology top 2%
- Immunology and Allergy top 0.1%
- Cell Biology top 0.2%
- Oncology top 2%
- Immunology top 2%
- Co-authors
- Yasuaki NishizukaToshimichi YoshidaRuth Chiquet‐EhrismannEleanor J. MackieMoriaki KusakabeYumiko SagaClyde J. DaweYoji Ikawa
- Topics
- Cell Adhesion Molecules Research (55 papers)Proteoglycans and glycosaminoglycans research (17 papers)Protease and Inhibitor Mechanisms (13 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Teruyo Sakakura
129 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.9k
- Immunology and Allergy 2.5k
- Cell Biology 2.2k
- Oncology 1.3k
- Immunology 1.1k
Countries citing papers authored by Teruyo Sakakura
This map shows the geographic impact of Teruyo Sakakura'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 Teruyo Sakakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruyo Sakakura more than expected).
Fields of papers citing papers by Teruyo Sakakura
This network shows the impact of papers produced by Teruyo Sakakura. 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 Teruyo Sakakura. The network helps show where Teruyo Sakakura may publish in the future.
Co-authorship network of co-authors of Teruyo Sakakura
This figure shows the co-authorship network connecting the top 25 collaborators of Teruyo Sakakura. A scholar is included among the top collaborators of Teruyo Sakakura 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 Teruyo Sakakura. Teruyo Sakakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 101 | |
| 2 | 173 | |
| 3 | 145 | |
| 4 | 67 | |
| 5 | Absence of TNF rescues RelA deficient mice from embryonic lethality | 2 |
| 6 | 4 | |
| 7 | 37 | |
| 8 | 57 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 34 | |
| 12 | A new assay system for the cell growth promoting effects of insulin and growth factors | 1 |
| 13 | 10 | |
| 14 | 48 | |
| 15 | 17 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 170 | |
| 19 | Acceleration of mammary cancer development by grafting of fetal mammary mesenchymes in C3H mice. | 14 |
| 20 | Frequent development of ovarian tumors from dysgenetic ovaries of neonatally thymectomized mice. | 4 |
About Teruyo Sakakura
Teruyo Sakakura is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 129 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (55 papers), Proteoglycans and glycosaminoglycans research (17 papers) and Protease and Inhibitor Mechanisms (13 papers). The work is most often cited by research in Immunology and Allergy (2.5k citations), Cell Biology (2.2k citations) and Cancer Research (1.1k citations). Teruyo Sakakura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yasuaki Nishizuka, Toshimichi Yoshida, Ruth Chiquet‐Ehrismann, Eleanor J. Mackie, Moriaki Kusakabe, Yumiko Saga, Clyde J. Dawe, Yoji Ikawa, Shinichi Aizawa and Takeshi Yagi. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.