Teiji Tominaga
- Neurology top 0.05%
- Intracranial Aneurysms: Treatment and Complications 270
- Vascular Malformations Diagnosis and Treatment 127
- Traumatic Brain Injury and Neurovascular Disturbances 90
- Rheumatology top 0.1%
- Moyamoya disease diagnosis and treatment 138
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 159
- Psychiatry and Mental health top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Cerebrovascular and Carotid Artery Diseases 106
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- Meningioma and schwannoma management 95
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- Cerebrospinal fluid and hydrocephalus 81
- Co-authors
- Miki FujimuraHiroaki ShimizuKuniyasu NiizumaToshihiro KumabeTakashi YoshimotoYukihiko SonodaMasayuki KanamoriRyuta Saito
- Cited by
- NeurologyRheumatologyGenetics
- Journals
- Journal of Clinical Oncology (1 paper)Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (8 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Teiji Tominaga
844 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Neurology 7.5k
- Rheumatology 4.0k
- Genetics 2.5k
- Psychiatry and Mental health 2.8k
- Pulmonary and Respiratory Medicine 3.2k
Countries citing papers authored by Teiji Tominaga
This map shows the geographic impact of Teiji Tominaga'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 Teiji Tominaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teiji Tominaga more than expected).
Fields of papers citing papers by Teiji Tominaga
This network shows the impact of papers produced by Teiji Tominaga. 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 Teiji Tominaga. The network helps show where Teiji Tominaga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teiji Tominaga, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 3 | |
| 20 | 2017 | 1 |
About Teiji Tominaga
Teiji Tominaga is a scholar working on Neurology, Genetics and Rheumatology, having authored 903 papers that have together received 16.4k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (270 papers), Glioma Diagnosis and Treatment (159 papers), Moyamoya disease diagnosis and treatment (138 papers), Vascular Malformations Diagnosis and Treatment (127 papers), Cerebrovascular and Carotid Artery Diseases (106 papers), Meningioma and schwannoma management (95 papers), Traumatic Brain Injury and Neurovascular Disturbances (90 papers) and Cerebrospinal fluid and hydrocephalus (81 papers). The work is most often cited by research in Neurology (7.5k citations), Rheumatology (4.0k citations) and Genetics (2.5k citations). Teiji Tominaga has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Miki Fujimura, Hiroaki Shimizu, Kuniyasu Niizuma, Toshihiro Kumabe, Takashi Yoshimoto, Yukihiko Sonoda, Masayuki Kanamori, Ryuta Saito, Hidenori Endo and Toshiki Endo. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.