Takeshi Osonoi
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Epidemiology
- Co-authors
- Naoto KatakamiYasuo TerauchiIichiro ShimomuraMiyoko SaitoHirotaka WatadaMasahiko GoshoTomoya MitaAtsuko Tamasawa
- Topics
- Diabetes Treatment and Management (32 papers)Diabetes Management and Research (20 papers)Metabolism, Diabetes, and Cancer (14 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineClinical Biochemistry
- Partner nations
- JapanDenmarkUnited States
In The Last Decade
Takeshi Osonoi
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 840
- Molecular Biology 376
- Cardiology and Cardiovascular Medicine 322
- Surgery 321
- Epidemiology 205
Countries citing papers authored by Takeshi Osonoi
This map shows the geographic impact of Takeshi Osonoi'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 Takeshi Osonoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Osonoi more than expected).
Fields of papers citing papers by Takeshi Osonoi
This network shows the impact of papers produced by Takeshi Osonoi. 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 Takeshi Osonoi. The network helps show where Takeshi Osonoi may publish in the future.
Co-authorship network of co-authors of Takeshi Osonoi
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Osonoi. A scholar is included among the top collaborators of Takeshi Osonoi 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 Takeshi Osonoi. Takeshi Osonoi 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 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 30 | |
| 8 | 39 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 8 | |
| 19 | 24 | |
| 20 | 127 |
About Takeshi Osonoi
Takeshi Osonoi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (32 papers), Diabetes Management and Research (20 papers) and Metabolism, Diabetes, and Cancer (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (840 citations), Cardiology and Cardiovascular Medicine (322 citations) and Clinical Biochemistry (55 citations). Takeshi Osonoi has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Naoto Katakami, Yasuo Terauchi, Iichiro Shimomura, Miyoko Saito, Hirotaka Watada, Masahiko Gosho, Tomoya Mita, Atsuko Tamasawa, Yusuke Osonoi and Taka‐aki Matsuoka. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.