Toru Aizawa
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Mitsuhisa KomatsuKiyoshi HashizumeMonte A. GreerTakashi YamadaYoshihiko SatoNaoki YasudaBradford C. BerkNobukazu Ishizaka
- Topics
- Pancreatic function and diabetes (44 papers)Metabolism, Diabetes, and Cancer (34 papers)Thyroid Disorders and Treatments (28 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Toru Aizawa
192 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.5k
- Endocrinology, Diabetes and Metabolism 1.9k
- Surgery 1.7k
- Physiology 1.0k
- Cardiology and Cardiovascular Medicine 982
Countries citing papers authored by Toru Aizawa
This map shows the geographic impact of Toru Aizawa'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 Toru Aizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Aizawa more than expected).
Fields of papers citing papers by Toru Aizawa
This network shows the impact of papers produced by Toru Aizawa. 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 Toru Aizawa. The network helps show where Toru Aizawa may publish in the future.
Co-authorship network of co-authors of Toru Aizawa
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Aizawa. A scholar is included among the top collaborators of Toru Aizawa 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 Toru Aizawa. Toru Aizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 40 | |
| 8 | 1 | |
| 9 | 94 | |
| 10 | 16 | |
| 11 | 108 | |
| 12 | 24 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 32 | |
| 16 | 97 | |
| 17 | 48 | |
| 18 | 6 | |
| 19 | Dipyridamole reduces urinary albumin excretion in diabetic patients with normo- or microalbuminuria. | 18 |
| 20 | 27 |
About Toru Aizawa
Toru Aizawa is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Behavioral Neuroscience, having authored 193 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (44 papers), Metabolism, Diabetes, and Cancer (34 papers) and Thyroid Disorders and Treatments (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Behavioral Neuroscience (336 citations) and Nephrology (470 citations). Toru Aizawa has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Mitsuhisa Komatsu, Kiyoshi Hashizume, Monte A. Greer, Takashi Yamada, Yoshihiko Sato, Naoki Yasuda, Bradford C. Berk, Nobukazu Ishizaka, Keishi Yamauchi and Yan Chen. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.