Akira Teramoto
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Neurology top 2%
- Epidemiology top 5%
- Genetics top 2%
- Co-authors
- Takanori FukushimaKôji AbeKeiji SanoN SannoSusumu WakaiYoshiyuki OsamuraK HirakawaKintomo Takakura
- Topics
- Pituitary Gland Disorders and Treatments (46 papers)Intracranial Aneurysms: Treatment and Complications (23 papers)Glioma Diagnosis and Treatment (21 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaBiomaterials
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Teramoto
215 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 138
- Endocrinology, Diabetes and Metabolism 1.3k
- Surgery 808
- Neurology 614
- Epidemiology 503
- Genetics 445
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 of co-authors of Akira Teramoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Teramoto. A scholar is included among the top collaborators of Akira Teramoto 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 Akira Teramoto. Akira Teramoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 21 | |
| 15 | [Postoperative three-dimensional CT angiography (3D-CTA) in evaluation of proximal clipping for ruptured vertebral aneurysms]. | 1 |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Expression of Pit-1 product in human pituitaries: Histochemical studies using an antibody against synthetic human Pit-1 protein | 12 |
| 19 | 1 | |
| 20 | Atrial natriuretic peptide in human cerebrospinal fluid. | 3 |
About Akira Teramoto
Akira Teramoto is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Genetics, having authored 228 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (46 papers), Intracranial Aneurysms: Treatment and Complications (23 papers) and Glioma Diagnosis and Treatment (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Genetics (445 citations) and Neurology (614 citations). Akira Teramoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takanori Fukushima, Kôji Abe, Keiji Sano, N Sanno, Susumu Wakai, Yoshiyuki Osamura, K Hirakawa, Kintomo Takakura, Yasuo Murai and Shiro Kobayashi. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Biomaterials.
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.