Toshio Tsushima
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Physiology top 5%
- Co-authors
- KAZUO SHIZUMEMinoru IrieKanji SatoPaul A. KellyOsamu IsozakiYuko FujiiHiroshi DemuraHitomi Murakami
- Topics
- Growth Hormone and Insulin-like Growth Factors (49 papers)Thyroid Disorders and Treatments (33 papers)Cancer, Hypoxia, and Metabolism (16 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsBehavioral Neuroscience
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Toshio Tsushima
119 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 2.1k
- Molecular Biology 1.2k
- Oncology 584
- Genetics 498
- Physiology 432
Countries citing papers authored by Toshio Tsushima
This map shows the geographic impact of Toshio Tsushima'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 Toshio Tsushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Tsushima more than expected).
Fields of papers citing papers by Toshio Tsushima
This network shows the impact of papers produced by Toshio Tsushima. 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 Toshio Tsushima. The network helps show where Toshio Tsushima may publish in the future.
Co-authorship network of co-authors of Toshio Tsushima
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Tsushima. A scholar is included among the top collaborators of Toshio Tsushima 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 Toshio Tsushima. Toshio Tsushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | Progress in thyroidology | 1 |
| 3 | 11 | |
| 4 | 47 | |
| 5 | 75 | |
| 6 | 56 | |
| 7 | 55 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 129 | |
| 13 | 19 | |
| 14 | 48 | |
| 15 | 64 | |
| 16 | 19 | |
| 17 | 37 | |
| 18 | 65 | |
| 19 | Establishment and characterization of a new human functional cell line from a choriocarcinoma. | 11 |
| 20 | 12 |
About Toshio Tsushima
Toshio Tsushima is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Endocrine and Autonomic Systems, having authored 119 papers that have together received 3.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (49 papers), Thyroid Disorders and Treatments (33 papers) and Cancer, Hypoxia, and Metabolism (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Endocrine and Autonomic Systems (301 citations) and Behavioral Neuroscience (139 citations). Toshio Tsushima has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include KAZUO SHIZUME, Minoru Irie, Kanji Sato, Paul A. Kelly, Osamu Isozaki, Yuko Fujii, Hiroshi Demura, Hitomi Murakami, Keizo Kasono and Megumi Miyakawa. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.