Tadao Goto
- Cardiology and Cardiovascular Medicine
- Surgery
- Cancer Research
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Co-authors
- Naoki NagoKazunori KayabaShizukiyo IshikawaKazuomi KarioKeiji YamamotoHitoshi MatsuoHironori NakagamiTakeshi Mitsuhashi
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Lipoproteins and Cardiovascular Health (4 papers)Blood properties and coagulation (3 papers)
- Journals
- Diabetes CareAmerican Journal of EpidemiologyArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- JapanSouth KoreaGreece
In The Last Decade
Tadao Goto
14 papers receiving 343 citations
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 135
- Surgery 90
- Cancer Research 86
- Endocrinology, Diabetes and Metabolism 79
- Epidemiology 52
Countries citing papers authored by Tadao Goto
This map shows the geographic impact of Tadao Goto'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 Tadao Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadao Goto more than expected).
Fields of papers citing papers by Tadao Goto
This network shows the impact of papers produced by Tadao Goto. 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 Tadao Goto. The network helps show where Tadao Goto may publish in the future.
Co-authorship network of co-authors of Tadao Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Tadao Goto. A scholar is included among the top collaborators of Tadao Goto 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 Tadao Goto. Tadao Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 87 | |
| 3 | [Prevalence, awareness, treatment, and control of hypertension in Japanese rural communities]. | 11 |
| 4 | 70 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 25 | |
| 8 | 24 | |
| 9 | 59 | |
| 10 | 3 | |
| 11 | Hereditability of Lp(a) and other lipids in Japanese rural area Takasu - JMS cohort study (abstract). | 2 |
| 12 | Immature Stages of the Fungus Gnats, Bolitophila japonica and Mycetophila lineola (Diptera, Mycetophilidae) | 1 |
| 13 | 60 | |
| 14 | A case of periodic alternation of polyuria and oliguria. | 1 |
About Tadao Goto
Tadao Goto is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 360 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (135 citations), Cancer Research (86 citations) and Internal Medicine (19 citations). Tadao Goto has collaborated with scholars based in Japan, South Korea and Greece. Frequent co-authors include Naoki Nago, Kazunori Kayaba, Shizukiyo Ishikawa, Kazuomi Kario, Keiji Yamamoto, Hitoshi Matsuo, Hironori Nakagami, Takeshi Mitsuhashi, Uichi Ikeda and Akizumi Tsutsumi. Their work appears in journals such as Diabetes Care, American Journal of Epidemiology and Arteriosclerosis Thrombosis and Vascular Biology.
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.