Kaoru Kurisu
- Epidemiology
- Neurology top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics top 10%
- Co-authors
- Kazunori AritaHiroyuki YoshiokaFumiyuki YamasakiSeiji HamaKazuhiko SugiyamaTohru UozumiAtsushi TominagaToshinori Nakahara
- Topics
- Glioma Diagnosis and Treatment (7 papers)Meningioma and schwannoma management (7 papers)Vascular Malformations Diagnosis and Treatment (6 papers)
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Kaoru Kurisu
35 papers receiving 561 citations
Peers
Comparison fields: 5 of 60
- Epidemiology 216
- Neurology 215
- Surgery 187
- Endocrinology, Diabetes and Metabolism 133
- Genetics 121
Countries citing papers authored by Kaoru Kurisu
This map shows the geographic impact of Kaoru Kurisu'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 Kaoru Kurisu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Kurisu more than expected).
Fields of papers citing papers by Kaoru Kurisu
This network shows the impact of papers produced by Kaoru Kurisu. 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 Kaoru Kurisu. The network helps show where Kaoru Kurisu may publish in the future.
Co-authorship network of co-authors of Kaoru Kurisu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Kurisu. A scholar is included among the top collaborators of Kaoru Kurisu 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 Kaoru Kurisu. Kaoru Kurisu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Transorbital penetrating intracranial injury by a chopstick: a case report and review of the literature]. | 6 |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 77 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | Falcotentorial meningioma accompanied by temporal lobe hematoma. | 5 |
| 9 | Absence of mutations in the NBS1 gene in B-cell malignant lymphoma patients. | 16 |
| 10 | [Significance and pitfall of diffusion weighted image in super acute cerebral ischemia: investigation by questionnaire study]. | 2 |
| 11 | 26 | |
| 12 | 16 | |
| 13 | 33 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 16 | |
| 19 | 52 | |
| 20 | 54 |
About Kaoru Kurisu
Kaoru Kurisu is a scholar working on Neurology, Genetics and Surgery, having authored 38 papers that have together received 580 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Meningioma and schwannoma management (7 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). The work is most often cited by research in Neurology (215 citations), Genetics (121 citations) and Endocrinology, Diabetes and Metabolism (133 citations). Kaoru Kurisu has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Kazunori Arita, Hiroyuki Yoshioka, Fumiyuki Yamasaki, Seiji Hama, Kazuhiko Sugiyama, Kazuhiko Sugiyama, Tohru Uozumi, Kazunori Arita, Atsushi Tominaga and Toshinori Nakahara. Their work appears in journals such as Cancer, Journal of neurosurgery and European Journal of Endocrinology.
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.