Atsutaka Yasui
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Iichiro ShimomuraHitoshi NishizawaMorihiro MatsudaTatsuroh KanekoShinji KiharaMakoto MakishimaMina SonodaShuichi Fukuen
- Topics
- Diabetes Treatment and Management (15 papers)Metabolism, Diabetes, and Cancer (9 papers)Pancreatic function and diabetes (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaDiabetes
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Atsutaka Yasui
27 papers receiving 828 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 406
- Molecular Biology 290
- Physiology 212
- Surgery 194
- Cardiology and Cardiovascular Medicine 172
Countries citing papers authored by Atsutaka Yasui
This map shows the geographic impact of Atsutaka Yasui'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 Atsutaka Yasui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsutaka Yasui more than expected).
Fields of papers citing papers by Atsutaka Yasui
This network shows the impact of papers produced by Atsutaka Yasui. 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 Atsutaka Yasui. The network helps show where Atsutaka Yasui may publish in the future.
Co-authorship network of co-authors of Atsutaka Yasui
This figure shows the co-authorship network connecting the top 25 collaborators of Atsutaka Yasui. A scholar is included among the top collaborators of Atsutaka Yasui 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 Atsutaka Yasui. Atsutaka Yasui 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 | 1 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | 7 | |
| 6 | 87 | |
| 7 | Validity of Claims Diagnosis Codes for Cardiovascular Diseases in Diabetes Patients in Japanese Administrative Database | 2 |
| 8 | 45 | |
| 9 | 24 | |
| 10 | 22 | |
| 11 | 32 | |
| 12 | 60 | |
| 13 | 33 | |
| 14 | 30 | |
| 15 | 55 | |
| 16 | 22 | |
| 17 | 140 | |
| 18 | 91 | |
| 19 | 22 | |
| 20 | [Randomized comparison of continuous and intermittent oral administration of 5'-deoxy-5-fluorouridine in the treatment of advanced gastric cancer; a phase II trial by the Multi-institutional Cooperative Study Group]. | 4 |
About Atsutaka Yasui
Atsutaka Yasui is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 27 papers that have together received 839 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Metabolism, Diabetes, and Cancer (9 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Nephrology (66 citations) and Physiology (212 citations). Atsutaka Yasui has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Iichiro Shimomura, Hitoshi Nishizawa, Morihiro Matsuda, Tatsuroh Kaneko, Shinji Kihara, Makoto Makishima, Mina Sonoda, Shuichi Fukuen, Masanori Iwaki and Stefan Kaspers. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.
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.