Yukari Kanou
- Surgery
- Endocrinology, Diabetes and Metabolism
- Neurology
- Pediatrics, Perinatology and Child Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Kaoru KurisuFusao IkawaJunko TakabaShuda ChenKazunori AritaMasayuki SumidaKazuhiko SugiyamaHiroyuki Yoshioka
- Topics
- Pituitary Gland Disorders and Treatments (4 papers)Moyamoya disease diagnosis and treatment (3 papers)Fetal and Pediatric Neurological Disorders (2 papers)
- Partner nations
- Japan
In The Last Decade
Yukari Kanou
11 papers receiving 287 citations
Peers
Comparison fields: 5 of 41
- Surgery 102
- Endocrinology, Diabetes and Metabolism 78
- Neurology 73
- Pediatrics, Perinatology and Child Health 62
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Yukari Kanou
This map shows the geographic impact of Yukari Kanou'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 Yukari Kanou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukari Kanou more than expected).
Fields of papers citing papers by Yukari Kanou
This network shows the impact of papers produced by Yukari Kanou. 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 Yukari Kanou. The network helps show where Yukari Kanou may publish in the future.
Co-authorship network of co-authors of Yukari Kanou
This figure shows the co-authorship network connecting the top 25 collaborators of Yukari Kanou. A scholar is included among the top collaborators of Yukari Kanou 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 Yukari Kanou. Yukari Kanou 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 | 24 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | [A case of aqueductal stenosis with acute progressive hydrocephalus during pregnancy]. | 5 |
| 7 | 5 | |
| 8 | Relationship between intratumoral hemorrhage and overexpression of vascular endothelial growth factor (VEGF) in pituitary adenoma. | 18 |
| 9 | 13 | |
| 10 | 47 | |
| 11 | Quantitative MR evaluation of intracranial epidermoid tumors by fast fluid-attenuated inversion recovery imaging and echo-planar diffusion-weighted imaging. | 129 |
| 12 | 42 |
About Yukari Kanou
Yukari Kanou is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology and Neurology, having authored 12 papers that have together received 293 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Moyamoya disease diagnosis and treatment (3 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Genetics (52 citations), Neurology (73 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Yukari Kanou has collaborated with scholars based in Japan. Frequent co-authors include Kaoru Kurisu, Fusao Ikawa, Junko Takaba, Shuda Chen, Kazunori Arita, Masayuki Sumida, Kazuhiko Sugiyama, Hiroyuki Yoshioka, Yosuke Watanabe and Kyoichi A. Watanabe. Their work appears in journals such as Journal of neurosurgery, American Journal of Neuroradiology and Acta Neurochirurgica.
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.