S Kasai
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Oncology top 10%
- Cancer Research top 10%
- Rheumatology top 5%
- Co-authors
- S. YamamotoYuji AmagaiHiroko SudoHiroaki KodamaHirofumi ArimuraT SuyamaM. NishidaKazuo Nitta
- Topics
- Peptidase Inhibition and Analysis (4 papers)Laser Applications in Dentistry and Medicine (4 papers)Enzyme Production and Characterization (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
S Kasai
26 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.0k
- Biomedical Engineering 357
- Oncology 340
- Cancer Research 307
- Rheumatology 263
Countries citing papers authored by S Kasai
This map shows the geographic impact of S Kasai'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 S Kasai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Kasai more than expected).
Fields of papers citing papers by S Kasai
This network shows the impact of papers produced by S Kasai. 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 S Kasai. The network helps show where S Kasai may publish in the future.
Co-authorship network of co-authors of S Kasai
This figure shows the co-authorship network connecting the top 25 collaborators of S Kasai. A scholar is included among the top collaborators of S Kasai 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 S Kasai. S Kasai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 21 | |
| 4 | 19 | |
| 5 | 20 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | [Effect of activation of the reticuloendothelial system on hepatocyte regeneration in partially hepatectomized rats]. | 1 |
| 13 | 10 | |
| 14 | 79 | |
| 15 | 12 | |
| 16 | 30 | |
| 17 | In vitro differentiation and calcification in a new clonal osteogenic cell line derived from newborn mouse calvaria.breakdown → | 1505 |
| 18 | 12 | |
| 19 | [Study of erythroid colony formation of rabbits in vitro: the effect of spleen extract from irradiated rats on CFU-E (author's transl)]. | 1 |
| 20 | Effect of 5, 5-diphenylhydantoin sodium on the synthesis of collagen by some fibroblastic cell lines including gingiva derived cells. | 18 |
About S Kasai
S Kasai is a scholar working on Biotechnology, Complementary and Manual Therapy and Toxicology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Laser Applications in Dentistry and Medicine (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Cancer Research (307 citations), Rheumatology (263 citations) and Oral Surgery (108 citations). S Kasai has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include S. Yamamoto, Yuji Amagai, Hiroko Sudo, Hiroaki Kodama, Hirofumi Arimura, T Suyama, M. Nishida, Kazuo Nitta, Takehiko Kunimoto and Yuko Munakata. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.
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.