Michio Shimabukuro
- Physiology top 0.2%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Co-authors
- Roger H. UngerIichiro ShimomuraYan-Ting ZhouMorihiro MatsudaYukio YamadaTakuya FujitaOsamu NakayamaShigetada Furukawa
- Topics
- Adipose Tissue and Metabolism (33 papers)Diabetes Treatment and Management (32 papers)Pancreatic function and diabetes (29 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Michio Shimabukuro
253 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Physiology 5.3k
- Molecular Biology 4.2k
- Epidemiology 3.9k
- Cardiology and Cardiovascular Medicine 3.2k
- Endocrinology, Diabetes and Metabolism 3.2k
Countries citing papers authored by Michio Shimabukuro
This map shows the geographic impact of Michio Shimabukuro'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 Michio Shimabukuro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michio Shimabukuro more than expected).
Fields of papers citing papers by Michio Shimabukuro
This network shows the impact of papers produced by Michio Shimabukuro. 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 Michio Shimabukuro. The network helps show where Michio Shimabukuro may publish in the future.
Co-authorship network of co-authors of Michio Shimabukuro
This figure shows the co-authorship network connecting the top 25 collaborators of Michio Shimabukuro. A scholar is included among the top collaborators of Michio Shimabukuro 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 Michio Shimabukuro. Michio Shimabukuro 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 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial | 0 |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 70 |
About Michio Shimabukuro
Michio Shimabukuro is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Aging, having authored 265 papers that have together received 15.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (33 papers), Diabetes Treatment and Management (32 papers) and Pancreatic function and diabetes (29 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Physiology (5.3k citations) and Endocrinology, Diabetes and Metabolism (3.2k citations). Michio Shimabukuro has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Roger H. Unger, Iichiro Shimomura, Yan-Ting Zhou, Morihiro Matsuda, Yukio Yamada, Takuya Fujita, Osamu Nakayama, Shigetada Furukawa, Makoto Makishima and Masanori Iwaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.