Yoshikazu Okada
- Neurology top 0.5%
- Intracranial Aneurysms: Treatment and Complications 73
- Vascular Malformations Diagnosis and Treatment 33
- Genetics top 1%
- Glioma Diagnosis and Treatment 34
- Rheumatology top 2%
- Moyamoya disease diagnosis and treatment 33
-
- Cerebrovascular and Carotid Artery Diseases 45
- Epidemiology top 5%
- Meningioma and schwannoma management 35
- Acute Ischemic Stroke Management 25
-
- Head and Neck Surgical Oncology 20
- Co-authors
- Takakazu KawamataTomokatsu HoriTakeshi ShimaYoshihiro MuragakiHiroshi IsekiKanji YamaneAkitsugu KawashimaTakashi Maruyama
- Cited by
- NeurologyGeneticsRheumatology
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- JapanCzechiaUnited States
In The Last Decade
Yoshikazu Okada
215 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 133
- Neurology 1.4k
- Genetics 637
- Rheumatology 539
- Pulmonary and Respiratory Medicine 871
- Epidemiology 909
Countries citing papers authored by Yoshikazu Okada
This map shows the geographic impact of Yoshikazu Okada'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 Yoshikazu Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshikazu Okada more than expected).
Fields of papers citing papers by Yoshikazu Okada
This network shows the impact of papers produced by Yoshikazu Okada. 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 Yoshikazu Okada. The network helps show where Yoshikazu Okada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshikazu Okada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 10 | |
| 4 | 2019 | 5 | |
| 5 | 2017 | 13 | |
| 6 | 2015 | 0 | |
| 7 | 2015 | 60 | |
| 8 | 2015 | 3 | |
| 9 | 2013 | 2 | |
| 10 | 2011 | 38 | |
| 11 | 2011 | 16 | |
| 12 | 2010 | 22 | |
| 13 | 2010 | 52 | |
| 14 | 2009 | 22 | |
| 15 | 2009 | 18 | |
| 16 | 2000 | 52 | |
| 17 | 1998 | 3 | |
| 18 | 1998 | 1 | |
| 19 | Magnetic Resonance Angiographic Evaluation of STA-MCA Anastomoses in Comparison with Intraoperative Hemodynamic Studies | 1997 | 1 |
| 20 | 1997 | 21 |
About Yoshikazu Okada
Yoshikazu Okada is a scholar working on Neurology, Genetics and Rheumatology, having authored 231 papers that have together received 3.4k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (73 papers), Cerebrovascular and Carotid Artery Diseases (45 papers), Meningioma and schwannoma management (35 papers), Glioma Diagnosis and Treatment (34 papers), Vascular Malformations Diagnosis and Treatment (33 papers), Moyamoya disease diagnosis and treatment (33 papers), Acute Ischemic Stroke Management (25 papers) and Head and Neck Surgical Oncology (20 papers). The work is most often cited by research in Neurology (1.4k citations), Genetics (637 citations) and Rheumatology (539 citations). Yoshikazu Okada has collaborated with scholars based in Japan, Czechia and United States. Frequent co-authors include Takakazu Kawamata, Tomokatsu Hori, Takeshi Shima, Yoshihiro Muragaki, Hiroshi Iseki, Kanji Yamane, Akitsugu Kawashima, Takashi Maruyama, Masahiro Nishida and Mikhail Chernov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.