Sho Ishizawa
- Molecular Biology
- Nephrology top 5%
- Immunology
- Endocrinology, Diabetes and Metabolism
- Cancer Research
- Co-authors
- Tamotsu YokotaKazunori UtsunomiyaYasushi KanazawaKeiichiro MatobaDaiji KawanamiYosuke NagaiJunko Takahashi‐FujigasakiJun Kinoshita
- Topics
- Protein Kinase Regulation and GTPase Signaling (5 papers)Sphingolipid Metabolism and Signaling (3 papers)Cancer, Hypoxia, and Metabolism (2 papers)
- Partner nations
- Japan
In The Last Decade
Sho Ishizawa
19 papers receiving 529 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 228
- Nephrology 155
- Immunology 78
- Endocrinology, Diabetes and Metabolism 77
- Cancer Research 68
Countries citing papers authored by Sho Ishizawa
This map shows the geographic impact of Sho Ishizawa'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 Sho Ishizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sho Ishizawa more than expected).
Fields of papers citing papers by Sho Ishizawa
This network shows the impact of papers produced by Sho Ishizawa. 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 Sho Ishizawa. The network helps show where Sho Ishizawa may publish in the future.
Co-authorship network of co-authors of Sho Ishizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Sho Ishizawa. A scholar is included among the top collaborators of Sho Ishizawa 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 Sho Ishizawa. Sho Ishizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 46 | |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 10 | |
| 6 | 34 | |
| 7 | 42 | |
| 8 | 80 | |
| 9 | 21 | |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 48 | |
| 13 | Down-regulation of EGFR prolonged cell growth of glioma but did not increase the sensitivity to temozolomide. | 5 |
| 14 | 72 | |
| 15 | Effect of inhibition of the ROCK isoform on RT2 malignant glioma cells. | 19 |
| 16 | Application of therapeutic insonation to malignant glioma cells and facilitation by echo-contrast microbubbles of levovist. | 4 |
| 17 | 15 | |
| 18 | 8 | |
| 19 | 8 |
About Sho Ishizawa
Sho Ishizawa is a scholar working on Nephrology, Cancer Research and Genetics, having authored 19 papers that have together received 532 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Sphingolipid Metabolism and Signaling (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Nephrology (155 citations), Clinical Biochemistry (36 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Sho Ishizawa has collaborated with scholars based in Japan. Frequent co-authors include Tamotsu Yokota, Kazunori Utsunomiya, Yasushi Kanazawa, Keiichiro Matoba, Daiji Kawanami, Yosuke Nagai, Junko Takahashi‐Fujigasaki, Jun Kinoshita, Noriyuki Murai and Senya Matsufuji. Their work appears in journals such as PLoS ONE, Diabetes and Biochemical and Biophysical Research Communications.
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.