Akira Teramoto

4.9k citations
228 papers · 3.1k indexed · h-index 28

Akira Teramoto

215 papers receiving 3.0k citations

Peers

Akira Teramoto
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Genetics 445
  • Neurology 614
  • Biomaterials 320
  • Surgery 808
Replace Shang‐You Yang with:
Shang‐You Yang United States
Robert C. Rennert United States
Yoshinori Takakura Japan
Rolf E. Brenner Germany
Hans‐Günther Machens Germany
Yimin Chai China
Monzur Murshed Canada
Edward I. Chang United States
L. C. Gerstenfeld United States
Dominik Duscher United States
Akira Teramoto relative to Shang‐You Yang United States Shang‐You Yang's profile →
Citations per field
00.5×5.9×
Shang‐You Yang · 1×
Citations per year

Countries citing papers authored by Akira Teramoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Akira Teramoto Line = papers co-authored together Akira Teramoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 202111
4 20218
5 201915
6 20134
7 20113
8 20101
9 20101
10 20092
11 20082
12 20071
13 20031
14 199821
15
[Postoperative three-dimensional CT angiography (3D-CTA) in evaluation of proximal clipping for ruptured vertebral aneurysms].
19971
16 19972
17 19953
18
Expression of Pit-1 product in human pituitaries: Histochemical studies using an antibody against synthetic human Pit-1 protein
199412
19 19921
20
Atrial natriuretic peptide in human cerebrospinal fluid.
19893

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), Glioma Diagnosis and Treatment (21 papers), Growth Hormone and Insulin-like Growth Factors (21 papers), Traumatic Brain Injury and Neurovascular Disturbances (20 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Meningioma and schwannoma management (14 papers) and Gastric Cancer Management and Outcomes (13 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.

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