Akira Kurose
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Xuan HuangZbigniew DarżynkiewiczToshiki TanakaFrank TraganosKohsuke SasakiH. Dorota HalickaTakaaki BeppuKuniaki Ogasawara
- Topics
- DNA Repair Mechanisms (13 papers)Glioma Diagnosis and Treatment (13 papers)Salivary Gland Tumors Diagnosis and Treatment (9 papers)
- Cited by
- BiophysicsCancer ResearchGenetics
- Journals
- SHILAP Revista de lepidopterologíaCancerScientific Reports
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Akira Kurose
118 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 994
- Oncology 568
- Cancer Research 340
- Radiology, Nuclear Medicine and Imaging 303
- Pulmonary and Respiratory Medicine 245
Countries citing papers authored by Akira Kurose
This map shows the geographic impact of Akira Kurose'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 Akira Kurose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Kurose more than expected).
Fields of papers citing papers by Akira Kurose
This network shows the impact of papers produced by Akira Kurose. 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 Akira Kurose. The network helps show where Akira Kurose may publish in the future.
Co-authorship network of co-authors of Akira Kurose
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Kurose. A scholar is included among the top collaborators of Akira Kurose 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 Akira Kurose. Akira Kurose 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | Toll-Like Receptor 3 as a Recurrence Risk Factor and a Potential Molecular Therapeutic Target in Colorectal Cancer | 1 |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | Biscoclaurine alkaloid cepharanthine protects DNA in TK6 lymphoblastoid cells from constitutive oxidative damage. | 22 |
| 16 | 52 | |
| 17 | 57 | |
| 18 | 49 | |
| 19 | 23 | |
| 20 | 33 |
About Akira Kurose
Akira Kurose is a scholar working on Genetics, Oncology and Neurology, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Glioma Diagnosis and Treatment (13 papers) and Salivary Gland Tumors Diagnosis and Treatment (9 papers). The work is most often cited by research in Biophysics (142 citations), Cancer Research (340 citations) and Genetics (237 citations). Akira Kurose has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Xuan Huang, Zbigniew Darżynkiewicz, Toshiki Tanaka, Frank Traganos, Kohsuke Sasaki, H. Dorota Halicka, Takaaki Beppu, Kuniaki Ogasawara, Takashi Sawai and Wei Dai. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.
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.