Taro Wasada
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Molecular Biology
- Surgery
- Physiology
- Co-authors
- Yasuhiko IwamotoTomoko NakagamiMasashi TakahashiYushi HirotaTakuya WakamatsuYasue OmoriV. HarrisKay McCorkle
- Topics
- Metabolism, Diabetes, and Cancer (11 papers)Diabetes and associated disorders (10 papers)Neuroendocrine Tumor Research Advances (9 papers)
- Journals
- Journal of Clinical InvestigationGastroenterologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Taro Wasada
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 597
- Epidemiology 486
- Molecular Biology 336
- Surgery 226
- Physiology 168
Countries citing papers authored by Taro Wasada
This map shows the geographic impact of Taro Wasada'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 Taro Wasada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taro Wasada more than expected).
Fields of papers citing papers by Taro Wasada
This network shows the impact of papers produced by Taro Wasada. 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 Taro Wasada. The network helps show where Taro Wasada may publish in the future.
Co-authorship network of co-authors of Taro Wasada
This figure shows the co-authorship network connecting the top 25 collaborators of Taro Wasada. A scholar is included among the top collaborators of Taro Wasada 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 Taro Wasada. Taro Wasada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 19 | |
| 3 | 32 | |
| 4 | 342 | |
| 5 | [Uric acid metabolism and insulin resistance in type 2 diabetes]. | 1 |
| 6 | 7 | |
| 7 | 62 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 22 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | Decreased prostacyclin production and platelet abnormalities in diabetes mellitus. | 3 |
| 19 | 127 | |
| 20 | [The changes in serum levels of FSH, LH, LHalpha and beta-subunit, and prolactin and their responses to synthetic LH-RH and TRH in normal subjects with aging (author's transl)]. | 2 |
About Taro Wasada
Taro Wasada is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Diabetes and associated disorders (10 papers) and Neuroendocrine Tumor Research Advances (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (597 citations), Epidemiology (486 citations) and Hepatology (98 citations). Taro Wasada has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Yasuhiko Iwamoto, Tomoko Nakagami, Masashi Takahashi, Yushi Hirota, Takuya Wakamatsu, Yasue Omori, V. Harris, Kay McCorkle, Mitsuhide Naruse and B. V. Howard. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.