Rina Nanba
- Rheumatology top 2%
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Yoshinobu IwasakiSatoshi KurodaKiyohiro HoukinTatsuya IshikawaMasaaki HokariMitsuhiro TadaNaoki NakayamaHiroshi Yasuda
- Topics
- Moyamoya disease diagnosis and treatment (9 papers)Cerebrovascular and genetic disorders (5 papers)Intracranial Aneurysms: Treatment and Complications (5 papers)
- Partner nations
- Japan
In The Last Decade
Rina Nanba
14 papers receiving 398 citations
Peers
Comparison fields: 5 of 29
- Rheumatology 368
- Psychiatry and Mental health 280
- Neurology 267
- Pulmonary and Respiratory Medicine 103
- Cardiology and Cardiovascular Medicine 36
Countries citing papers authored by Rina Nanba
This map shows the geographic impact of Rina Nanba'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 Rina Nanba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Nanba more than expected).
Fields of papers citing papers by Rina Nanba
This network shows the impact of papers produced by Rina Nanba. 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 Rina Nanba. The network helps show where Rina Nanba may publish in the future.
Co-authorship network of co-authors of Rina Nanba
This figure shows the co-authorship network connecting the top 25 collaborators of Rina Nanba. A scholar is included among the top collaborators of Rina Nanba 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 Rina Nanba. Rina Nanba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 45 | |
| 3 | 201 | |
| 4 | 31 | |
| 5 | 69 | |
| 6 | [Joint therapy of a dural arteriovenous fistula in the transverse-sigmoid sinus using surgical excision and direct sinus packing: a case report]. | 2 |
| 7 | [Familial moyamoya disease--clinical features and current study]. | 3 |
| 8 | [Clinical manifestations of infantile moyamoya disease]. | 5 |
| 9 | [Clinical features and outcomes of 10 asymptomatic adult patients with moyamoya disease]. | 19 |
| 10 | 3 | |
| 11 | [Diagnosis of cerebral aneurysm using 3-dimensional digital subtraction angiography]. | 1 |
| 12 | 8 | |
| 13 | [Two cases of breast cancer detected by 99mTc-tetrofosmin myocardial scintigraphy]. | 1 |
| 14 | [Clinical evaluation of two- and three-dimensional imaging of helical scanning CT in the upper abdomen]. | 1 |
About Rina Nanba
Rina Nanba is a scholar working on Neurology, Rheumatology and Psychiatry and Mental health, having authored 14 papers that have together received 407 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (9 papers), Cerebrovascular and genetic disorders (5 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). The work is most often cited by research in Rheumatology (368 citations), Psychiatry and Mental health (280 citations) and Neurology (267 citations). Rina Nanba has collaborated with scholars based in Japan. Frequent co-authors include Yoshinobu Iwasaki, Satoshi Kuroda, Kiyohiro Houkin, Tatsuya Ishikawa, Masaaki Hokari, Mitsuhiro Tada, Naoki Nakayama, Hiroshi Yasuda, Hideo Shichinohe and Kazuo Nagashima. Their work appears in journals such as Stroke, Child s Nervous System and Neuropathology.
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.