Norichika Hashimoto
- Molecular Biology
- Genetics top 10%
- Neurology top 10%
- Epidemiology
- Cancer Research
- Co-authors
- Ryuhei KitaiHiroaki TakeuchiToshihiko KubotaKen‐ichiro KikutaKazufumi SatoHidetaka ArishimaHirotaka KikuchiJunji Yodoi
- Topics
- Glioma Diagnosis and Treatment (9 papers)Meningioma and schwannoma management (4 papers)Brain Metastases and Treatment (2 papers)
- Cited by
- GeneticsNeurologyCancer Research
In The Last Decade
Norichika Hashimoto
22 papers receiving 321 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 125
- Genetics 106
- Neurology 105
- Epidemiology 52
- Cancer Research 49
Countries citing papers authored by Norichika Hashimoto
This map shows the geographic impact of Norichika 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 Norichika Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norichika Hashimoto more than expected).
Fields of papers citing papers by Norichika Hashimoto
This network shows the impact of papers produced by Norichika 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 Norichika Hashimoto. The network helps show where Norichika Hashimoto may publish in the future.
Co-authorship network of co-authors of Norichika Hashimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Norichika Hashimoto. A scholar is included among the top collaborators of Norichika 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 Norichika Hashimoto. Norichika 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 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 22 | |
| 11 | 41 | |
| 12 | [Hypoxic ischemic encephalopathy with atypical findings on CT and MR imaging: two case reports]. | 3 |
| 13 | 25 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | 12 | |
| 17 | Cerebellar glioblastoma genetically defined as a secondary one. | 8 |
| 18 | [The clinical effect of combination therapy with edaravone and sodium ozagrel for acute cerebral infarction]. | 7 |
| 19 | An autopsy case with clinically and molecular genetically diagnosed Huntington's disease with only minimal non-specific neuropathological findings. | 21 |
| 20 | Expression of thioredoxin is enhanced in atherosclerotic plaques and during neointima formation in rat arteries. | 70 |
About Norichika Hashimoto
Norichika Hashimoto is a scholar working on Genetics, Neurology and Developmental Neuroscience, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Meningioma and schwannoma management (4 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Genetics (106 citations), Neurology (105 citations) and Cancer Research (49 citations). Norichika Hashimoto has collaborated with scholars based in Japan and Taiwan. Frequent co-authors include Ryuhei Kitai, Hiroaki Takeuchi, Toshihiko Kubota, Ken‐ichiro Kikuta, Kazufumi Sato, Hidetaka Arishima, Hirotaka Kikuchi, Junji Yodoi, Yasutaka Takagi and Yasuhiro Gon. Their work appears in journals such as Journal of neurosurgery, Polymers and Journal of Neurology.
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.