Toru Hiyoshi
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Molecular Biology
- Biochemistry top 10%
- Physiology
- Co-authors
- Mutsunori FujiwaraH. TakanoNaomi OsakabeAkiko YasudaY. MutoJunji TeraoTatsuya YoshikawaKazuhiko Takaya
- Topics
- Diabetes Treatment and Management (8 papers)Metabolism, Diabetes, and Cancer (6 papers)Diabetes Management and Research (5 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Toru Hiyoshi
22 papers receiving 551 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 257
- Surgery 109
- Molecular Biology 105
- Biochemistry 73
- Physiology 55
Countries citing papers authored by Toru Hiyoshi
This map shows the geographic impact of Toru Hiyoshi'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 Toru Hiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Hiyoshi more than expected).
Fields of papers citing papers by Toru Hiyoshi
This network shows the impact of papers produced by Toru Hiyoshi. 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 Toru Hiyoshi. The network helps show where Toru Hiyoshi may publish in the future.
Co-authorship network of co-authors of Toru Hiyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Hiyoshi. A scholar is included among the top collaborators of Toru Hiyoshi 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 Toru Hiyoshi. Toru Hiyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 75 | |
| 4 | 70 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 32 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | A retrospective, longitudinal study to evaluate healing lower extremity wounds in patients with diabetes mellitus and ischemia using standard protocols of care and platelet-rich plasma gel in a Japanese wound care program. | 45 |
| 15 | 147 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Focal lymphocytic infiltration in the adrenal cortex of the elderly: immunohistological analysis of infiltrating lymphocytes. | 42 |
About Toru Hiyoshi
Toru Hiyoshi is a scholar working on Endocrinology, Diabetes and Metabolism, Occupational Therapy and Biochemistry, having authored 22 papers that have together received 565 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (257 citations), Biochemistry (73 citations) and Rehabilitation (32 citations). Toru Hiyoshi has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Mutsunori Fujiwara, H. Takano, Naomi Osakabe, Akiko Yasuda, Y. Muto, Junji Terao, Tatsuya Yoshikawa, Kazuhiko Takaya, Tamiko Takemura and Chieri Kurashima. Their work appears in journals such as PLoS ONE, Nutrients and European Journal of Clinical Nutrition.
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.