Masakazu Takeuchi
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Pharmacology top 10%
- Surgery
- Physiology
- Co-authors
- Tomonori OuraTakeshi ImaokaNobuya InagakiYutaka SeinoHitoshi IshiiYasuo TerauchiYukio TanizawaEiichi Araki
- Topics
- Diabetes Treatment and Management (24 papers)Metabolism, Diabetes, and Cancer (17 papers)Diabetes Management and Research (14 papers)
- Journals
- The American Journal of CardiologyThe Lancet Diabetes & EndocrinologyDiabetes Obesity and Metabolism
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Masakazu Takeuchi
27 papers receiving 533 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Endocrinology, Diabetes and Metabolism 479
- Molecular Biology 256
- Pharmacology 130
- Surgery 128
- Physiology 72
Countries citing papers authored by Masakazu Takeuchi
This map shows the geographic impact of Masakazu Takeuchi'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 Masakazu Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masakazu Takeuchi more than expected).
Fields of papers citing papers by Masakazu Takeuchi
This network shows the impact of papers produced by Masakazu Takeuchi. 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 Masakazu Takeuchi. The network helps show where Masakazu Takeuchi may publish in the future.
Co-authorship network of co-authors of Masakazu Takeuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Masakazu Takeuchi. A scholar is included among the top collaborators of Masakazu Takeuchi 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 Masakazu Takeuchi. Masakazu Takeuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | Efficacy and safety of tirzepatide monotherapy compared with dulaglutide in Japanese patients with type 2 diabetes (SURPASS J-mono): a double-blind, multicentre, randomised, phase 3 trialbreakdown → | 145 |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 20 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 13 | |
| 19 | 43 | |
| 20 | Stereoselective uptake of an organic anion across the renal basolateral membrane in isolated perfused rat kidney. | 2 |
About Masakazu Takeuchi
Masakazu Takeuchi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pharmacology, having authored 29 papers that have together received 550 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (24 papers), Metabolism, Diabetes, and Cancer (17 papers) and Diabetes Management and Research (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Pharmacology (130 citations) and Molecular Biology (256 citations). Masakazu Takeuchi has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Tomonori Oura, Takeshi Imaoka, Nobuya Inagaki, Yutaka Seino, Hitoshi Ishii, Yasuo Terauchi, Yukio Tanizawa, Eiichi Araki, Yoichi Satoi and Ichiro Ikeda. Their work appears in journals such as The American Journal of Cardiology, The Lancet Diabetes & Endocrinology and Diabetes Obesity and 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.