Toyohiko Morishima
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics top 10%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Ryuzo KawamoriYoshimitsu YamasakiYoshitaka KajimotoTakenobu KamadaYutaka UmayaharaHirotaka WatadaTomoari KamadaEiichi Imano
- Topics
- Diabetes Management and Research (8 papers)Metabolism, Diabetes, and Cancer (8 papers)Diet and metabolism studies (7 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Toyohiko Morishima
26 papers receiving 961 citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 338
- Molecular Biology 314
- Genetics 300
- Epidemiology 284
- Cardiology and Cardiovascular Medicine 157
Countries citing papers authored by Toyohiko Morishima
This map shows the geographic impact of Toyohiko Morishima'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 Toyohiko Morishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toyohiko Morishima more than expected).
Fields of papers citing papers by Toyohiko Morishima
This network shows the impact of papers produced by Toyohiko Morishima. 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 Toyohiko Morishima. The network helps show where Toyohiko Morishima may publish in the future.
Co-authorship network of co-authors of Toyohiko Morishima
This figure shows the co-authorship network connecting the top 25 collaborators of Toyohiko Morishima. A scholar is included among the top collaborators of Toyohiko Morishima 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 Toyohiko Morishima. Toyohiko Morishima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [2,4-Dienoyl-CoA reductases: from discovery toward pathophysiological significance]. | 5 |
| 2 | 17 | |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 70 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 176 | |
| 12 | 300 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 14 | |
| 16 | 84 | |
| 17 | 12 | |
| 18 | 60 | |
| 19 | [Four cases in two families of hereditary progressive dystonia with circadian rhythm]. | 1 |
| 20 | 12 |
About Toyohiko Morishima
Toyohiko Morishima is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Physiology, having authored 26 papers that have together received 995 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (338 citations), Hepatology (136 citations) and Genetics (300 citations). Toyohiko Morishima has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Ryuzo Kawamori, Yoshimitsu Yamasaki, Yoshitaka Kajimoto, Takenobu Kamada, Yutaka Umayahara, Hirotaka Watada, Tomoari Kamada, Eiichi Imano, Norimichi Iwama and Hiroyuki Matsushima. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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.