Jun‐ichiro Miyagawa
- Epidemiology top 0.5%
- Surgery top 1%
- Physiology top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Yūji MatsuzawaToshiaki HanafusaShizuya YamashitaMakoto NishidaTohru FunahashiShinji KiharaTadashi NakamuraIichiro Shimomura
- Topics
- Pancreatic function and diabetes (43 papers)Diabetes Management and Research (36 papers)Diabetes and associated disorders (32 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Jun‐ichiro Miyagawa
134 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Epidemiology 3.8k
- Surgery 2.5k
- Physiology 2.5k
- Molecular Biology 2.2k
- Endocrinology, Diabetes and Metabolism 2.1k
Countries citing papers authored by Jun‐ichiro Miyagawa
This map shows the geographic impact of Jun‐ichiro Miyagawa'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 Jun‐ichiro Miyagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichiro Miyagawa more than expected).
Fields of papers citing papers by Jun‐ichiro Miyagawa
This network shows the impact of papers produced by Jun‐ichiro Miyagawa. 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 Jun‐ichiro Miyagawa. The network helps show where Jun‐ichiro Miyagawa may publish in the future.
Co-authorship network of co-authors of Jun‐ichiro Miyagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichiro Miyagawa. A scholar is included among the top collaborators of Jun‐ichiro Miyagawa 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 Jun‐ichiro Miyagawa. Jun‐ichiro Miyagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 18 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 27 | |
| 7 | 48 | |
| 8 | 438 | |
| 9 | [Mechanism of atherosclerosis in diabetes: altered cytokine network in the vascular wall]. | 2 |
| 10 | 7 | |
| 11 | 179 | |
| 12 | 10 | |
| 13 | 51 | |
| 14 | 2 | |
| 15 | 48 | |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 1 | |
| 19 | 26 | |
| 20 | 59 |
About Jun‐ichiro Miyagawa
Jun‐ichiro Miyagawa is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Genetics, having authored 134 papers that have together received 9.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (43 papers), Diabetes Management and Research (36 papers) and Diabetes and associated disorders (32 papers). The work is most often cited by research in Endocrine and Autonomic Systems (979 citations), Endocrinology, Diabetes and Metabolism (2.1k citations) and Epidemiology (3.8k citations). Jun‐ichiro Miyagawa has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yūji Matsuzawa, Toshiaki Hanafusa, Shizuya Yamashita, Makoto Nishida, Tohru Funahashi, Shinji Kihara, Tadashi Nakamura, Iichiro Shimomura, Noriyuki Ouchi and Kikuko Hotta. Their work appears in journals such as New England Journal of Medicine, 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.