Toshimitsu Okeda
- Surgery
- Endocrine and Autonomic Systems top 5%
- Genetics
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Hironobu YoshimatsuToshiie SakataRyosaburo TakakiJunko OnoSatoru TodoAkira NiijimaSeiichi ChibaYasushi Teshima
- Topics
- Pancreatic function and diabetes (11 papers)Diabetes Management and Research (8 papers)Diabetes and associated disorders (7 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Toshimitsu Okeda
24 papers receiving 506 citations
Peers
Comparison fields: 5 of 74
- Surgery 197
- Endocrine and Autonomic Systems 145
- Genetics 136
- Endocrinology, Diabetes and Metabolism 123
- Physiology 94
Countries citing papers authored by Toshimitsu Okeda
This map shows the geographic impact of Toshimitsu Okeda'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 Toshimitsu Okeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimitsu Okeda more than expected).
Fields of papers citing papers by Toshimitsu Okeda
This network shows the impact of papers produced by Toshimitsu Okeda. 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 Toshimitsu Okeda. The network helps show where Toshimitsu Okeda may publish in the future.
Co-authorship network of co-authors of Toshimitsu Okeda
This figure shows the co-authorship network connecting the top 25 collaborators of Toshimitsu Okeda. A scholar is included among the top collaborators of Toshimitsu Okeda 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 Toshimitsu Okeda. Toshimitsu Okeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | 29 | |
| 3 | 68 | |
| 4 | 5 | |
| 5 | 34 | |
| 6 | 53 | |
| 7 | 36 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | Coexistence of Autoimmune Thyroid Disease, Systemic Lupus Erythematosus and Sjogren's Syndrome in a Patient with Insulin-Dependent Diabetes Mellitus | 2 |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Cryopreservation of pancreatic islet cells. | 4 |
| 17 | 2 | |
| 18 | 6 | |
| 19 | Adult human pancreatic endocrine cells in culture. Insulin and glucagon release and influence of cold storage. | 3 |
| 20 | 10 |
About Toshimitsu Okeda
Toshimitsu Okeda is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, having authored 24 papers that have together received 511 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes Management and Research (8 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (145 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Genetics (136 citations). Toshimitsu Okeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Hironobu Yoshimatsu, Toshiie Sakata, Ryosaburo Takaki, Junko Ono, Satoru Todo, Akira Niijima, Seiichi Chiba, Yasushi Teshima, Kyoko Oka and Shuji Hidaka. Their work appears in journals such as Journal of the American College of Cardiology, Diabetes and The FASEB Journal.
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.