Tadashi Aiba

855 citations
55 papers · 675 indexed · h-index 15
Topics
Pituitary Gland Disorders and Treatments (14 papers)Meningioma and schwannoma management (13 papers)Glioma Diagnosis and Treatment (9 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Tadashi Aiba

53 papers receiving 640 citations

Peers

Tadashi Aiba
Comparison fields: 5 of 56
  • Surgery 277
  • Endocrinology, Diabetes and Metabolism 251
  • Neurology 193
  • Epidemiology 160
  • Genetics 104
Replace Laws Er with:
Laws Er United States
M Zavanone Italy
Miguel Arístegui Spain
Pier Paolo Mattogno Italy
Byung Kyu Cho South Korea
Hasan A. Zaidi United States
Kaoru Kurisu Japan
Michele Bailo Italy
Shamik Chakraborty United States
R D Battersby United Kingdom
Tadashi Aiba relative to Laws Er United States Laws Er's profile →
Citations per field
00.5×1.6×
Laws Er · 1×
Citations per year

Countries citing papers authored by Tadashi Aiba

Since Specialization
Citations

This map shows the geographic impact of Tadashi Aiba'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 Tadashi Aiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Aiba more than expected).

Fields of papers citing papers by Tadashi Aiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tadashi Aiba. 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 Tadashi Aiba. The network helps show where Tadashi Aiba may publish in the future.

Co-authorship network of co-authors of Tadashi Aiba

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Aiba. A scholar is included among the top collaborators of Tadashi Aiba 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 Tadashi Aiba. Tadashi Aiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 57
4 8
5 23
6
Aneurysm arising from the petrous portion of the internal carotid artery: case report.
6
7 10
8 20
9 54
10 36
11 41
12 9
13 10
14 4
15 0
16
CT findings in brain edema following the administration of corticosteroids
1
17
Computed tomography in the diagnosis of cerebellopontine angle syndrome
3
18
Familial occurrence of intracranial aneurysms.
28
19 20
20 5

About Tadashi Aiba

Tadashi Aiba is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 55 papers that have together received 675 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (14 papers), Meningioma and schwannoma management (13 papers) and Glioma Diagnosis and Treatment (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (251 citations), Neurology (193 citations) and Genetics (104 citations). Tadashi Aiba has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Shozo Yamada, Yoshimasa Shishiba, Kálmán Kovács, Masamitsu Unakami, Mitsuru Hara, Toshiaki Sano, Shinji Sawano, Keiji Sano, Jun Tateishi and Tetsuyuki Kitamoto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neurology and Radiology.

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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