Yasushi Tanaka
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Epidemiology top 2%
- Surgery top 5%
- Co-authors
- Ryuzo KawamoriUshio KikkawaYasutomi NishizukaRyohei MiyakeHirotaka WatadaYoshimi TakaiShiro MaedaAtsunori Kashiwagi
- Topics
- Diabetes Treatment and Management (41 papers)Diabetes Management and Research (31 papers)Metabolism, Diabetes, and Cancer (28 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yasushi Tanaka
278 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.9k
- Endocrinology, Diabetes and Metabolism 2.0k
- Physiology 1.4k
- Epidemiology 1.0k
- Surgery 981
Countries citing papers authored by Yasushi Tanaka
This map shows the geographic impact of Yasushi Tanaka'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 Yasushi Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Tanaka more than expected).
Fields of papers citing papers by Yasushi Tanaka
This network shows the impact of papers produced by Yasushi Tanaka. 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 Yasushi Tanaka. The network helps show where Yasushi Tanaka may publish in the future.
Co-authorship network of co-authors of Yasushi Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Tanaka. A scholar is included among the top collaborators of Yasushi Tanaka 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 Yasushi Tanaka. Yasushi Tanaka 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 | 12 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | Manganese Superoxide Dismutase Polymorphism (V16A) Associated with Impaired Cardiac Autonomic Function in Japanese Type 2 Diabetic Patients | 0 |
| 10 | Effectiveness of combination therapy with a sulfonylurea and once-daily insulin glargine in Japanese type 2 diabetic patients -Evaluation of the long-term (18 months) results of the combination therapy- | 4 |
| 11 | 64 | |
| 12 | 29 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 0 | |
| 20 | [Adult mucolipidosis with beta-galactosidase deficiency: a clinical report, with studies of urinary sialic acid-rich substances (author's transl)]. | 2 |
About Yasushi Tanaka
Yasushi Tanaka is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 289 papers that have together received 7.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (41 papers), Diabetes Management and Research (31 papers) and Metabolism, Diabetes, and Cancer (28 papers). The work is most often cited by research in Microbiology (222 citations), Endocrinology, Diabetes and Metabolism (2.0k citations) and Clinical Biochemistry (478 citations). Yasushi Tanaka has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Ryuzo Kawamori, Ushio Kikkawa, Yasutomi Nishizuka, Ryohei Miyake, Hirotaka Watada, Yoshimi Takai, Shiro Maeda, Atsunori Kashiwagi, Takahisa Hirose and Yuzuru Mikami. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
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.