Yutaka Hashimoto
- Molecular Biology top 5%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Co-authors
- Yoshimitsu AkiyamaYasuhito YuasaKota TakahashiTsutomu NishiyamaTakeshi OtsuboShu ShimadaRajvir DahiyaSoichiro Yamamura
- Topics
- Cancer-related molecular mechanisms research (19 papers)MicroRNA in disease regulation (14 papers)Circular RNAs in diseases (13 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Yutaka Hashimoto
135 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.7k
- Cancer Research 1.1k
- Pulmonary and Respiratory Medicine 499
- Endocrinology, Diabetes and Metabolism 266
- Genetics 226
Countries citing papers authored by Yutaka Hashimoto
This map shows the geographic impact of Yutaka Hashimoto'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 Yutaka Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Hashimoto more than expected).
Fields of papers citing papers by Yutaka Hashimoto
This network shows the impact of papers produced by Yutaka Hashimoto. 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 Yutaka Hashimoto. The network helps show where Yutaka Hashimoto may publish in the future.
Co-authorship network of co-authors of Yutaka Hashimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Hashimoto. A scholar is included among the top collaborators of Yutaka Hashimoto 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 Yutaka Hashimoto. Yutaka Hashimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 42 | |
| 5 | 35 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 7 | |
| 9 | 82 | |
| 10 | 44 | |
| 11 | 141 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | Photoreceptor mosaic pattern in the dace retina labeled with nbt reaction | 1 |
| 16 | -0527-LOCALIZATION OF EXOGENOUSLY ADMINISTERED SOD IN MYOCARDIUM | 2 |
| 17 | Assay Method of Sod in Biological Samples by ESR Spectroscopy | 1 |
| 18 | 2 | |
| 19 | Behavioral abnormalities of rats with micrencephaly due to prenatal treatment with N-metylnitrosourea | 1 |
| 20 | Effects of PGI2 on platelet aggregation induced by various stimulants. | 2 |
About Yutaka Hashimoto
Yutaka Hashimoto is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 144 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (14 papers) and Circular RNAs in diseases (13 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.7k citations) and Endocrinology, Diabetes and Metabolism (266 citations). Yutaka Hashimoto has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yoshimitsu Akiyama, Yasuhito Yuasa, Kota Takahashi, Tsutomu Nishiyama, Takeshi Otsubo, Shu Shimada, Rajvir Dahiya, Soichiro Yamamura, Yuichiro Tanaka and Marisa Shiina. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.
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.