Akira Teramoto
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- Pituitary Gland Disorders and Treatments 80
- Growth Hormone and Insulin-like Growth Factors 51
- Neurology top 1%
- Intracranial Aneurysms: Treatment and Complications 36
- Traumatic Brain Injury and Neurovascular Disturbances 19
- Vascular Malformations Diagnosis and Treatment 18
- Genetics top 2%
- Glioma Diagnosis and Treatment 21
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 20
- Epidemiology top 5%
- Meningioma and schwannoma management 22
- Co-authors
- Daizo YoshidaNaoko SannoR. Yoshiyuki OsamuraShigeyuki TaharaShiro KobayashiHiroshi TakahashiYasuo MuraiSusumu Takekoshi
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Biochemical and Biophysical Research Communications (1 paper)Endocrinology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Teramoto
236 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 121
- Endocrinology, Diabetes and Metabolism 1.4k
- Neurology 832
- Genetics 572
- Cancer Research 497
- Epidemiology 715
Countries citing papers authored by Akira Teramoto
This map shows the geographic impact of Akira Teramoto'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 Akira Teramoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Teramoto more than expected).
Fields of papers citing papers by Akira Teramoto
This network shows the impact of papers produced by Akira Teramoto. 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 Akira Teramoto. The network helps show where Akira Teramoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Teramoto, 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 | 2016 | 2 | |
| 2 | 2013 | 7 | |
| 3 | 2012 | 6 | |
| 4 | 2009 | 14 | |
| 5 | 2008 | 13 | |
| 6 | 2007 | 14 | |
| 7 | 2007 | 32 | |
| 8 | 2005 | 16 | |
| 9 | 2003 | 4 | |
| 10 | 2003 | 1 | |
| 11 | 2003 | 23 | |
| 12 | 2002 | 36 | |
| 13 | 2001 | 15 | |
| 14 | 2001 | 15 | |
| 15 | 2001 | 9 | |
| 16 | 2001 | 24 | |
| 17 | 2000 | 12 | |
| 18 | 1998 | 24 | |
| 19 | 1998 | 51 | |
| 20 | 1998 | 16 |
About Akira Teramoto
Akira Teramoto is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Cancer Research, having authored 239 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (80 papers), Growth Hormone and Insulin-like Growth Factors (51 papers), Intracranial Aneurysms: Treatment and Complications (36 papers), Meningioma and schwannoma management (22 papers), Glioma Diagnosis and Treatment (21 papers), Cancer, Hypoxia, and Metabolism (20 papers), Traumatic Brain Injury and Neurovascular Disturbances (19 papers) and Vascular Malformations Diagnosis and Treatment (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Neurology (832 citations) and Genetics (572 citations). Akira Teramoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Daizo Yoshida, Naoko Sanno, R. Yoshiyuki Osamura, Shigeyuki Tahara, Shiro Kobayashi, Hiroshi Takahashi, Yasuo Murai, Susumu Takekoshi, Takayuki Mizunari and Kyongsong Kim. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and 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.