Ryushi Nozawa
- Molecular Biology top 10%
- Health, Toxicology and Mutagenesis top 2%
- Immunology top 10%
- Cancer Research top 5%
- Pollution top 5%
- Co-authors
- Ryoko Kuruto-NiwaK AraiToshihiro YamadaTakumi TerataniYoshiyasu TeraoTakeshi YokotaYasuteru UsukiTakashi Miyakoshi
- Topics
- S100 Proteins and Annexins (15 papers)Protease and Inhibitor Mechanisms (10 papers)Retinoids in leukemia and cellular processes (5 papers)
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
Ryushi Nozawa
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 854
- Health, Toxicology and Mutagenesis 372
- Immunology 352
- Cancer Research 312
- Pollution 166
Countries citing papers authored by Ryushi Nozawa
This map shows the geographic impact of Ryushi Nozawa'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 Ryushi Nozawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryushi Nozawa more than expected).
Fields of papers citing papers by Ryushi Nozawa
This network shows the impact of papers produced by Ryushi Nozawa. 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 Ryushi Nozawa. The network helps show where Ryushi Nozawa may publish in the future.
Co-authorship network of co-authors of Ryushi Nozawa
This figure shows the co-authorship network connecting the top 25 collaborators of Ryushi Nozawa. A scholar is included among the top collaborators of Ryushi Nozawa 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 Ryushi Nozawa. Ryushi Nozawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 110 | |
| 2 | S100A10 expression in thyroid neoplasms originating from the follicular epithelium: contribution to the aggressive characteristic of anaplastic carcinoma. | 29 |
| 3 | 28 | |
| 4 | 71 | |
| 5 | 14 | |
| 6 | 85 | |
| 7 | 177 | |
| 8 | 64 | |
| 9 | 3 | |
| 10 | 41 | |
| 11 | 67 | |
| 12 | 63 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | 17 | |
| 16 | 41 | |
| 17 | Cefodizime (THR-221), its in vitro antibacterial activity, binding affinity to bacterial PBPs, and synergy of bactericidal activity with complement and mouse cultured macrophages | 2 |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 8 |
About Ryushi Nozawa
Ryushi Nozawa is a scholar working on Cancer Research, Immunology and Toxicology, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (15 papers), Protease and Inhibitor Mechanisms (10 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (372 citations), Cancer Research (312 citations) and Immunology (352 citations). Ryushi Nozawa has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Ryoko Kuruto-Niwa, K Arai, Toshihiro Yamada, Takumi Teratani, Yoshiyasu Terao, Takeshi Yokota, Yasuteru Usuki, Takashi Miyakoshi, Tatsushi Shiozawa and Shunji Natori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.