T. Morita
- Endocrinology, Diabetes and Metabolism top 5%
- Statistical and Nonlinear Physics top 5%
- Immunology
- Surgery
- Molecular Biology
- Co-authors
- Kanji KumaH. TamaiSunao MatsubayashiToshio MukutaT. HoritaHideaki HataHatsumi MoriKeisuke Kawai
- Topics
- Quantum chaos and dynamical systems (11 papers)Mathematical Dynamics and Fractals (10 papers)Chaos control and synchronization (10 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismStatistical and Nonlinear PhysicsMathematical Physics
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismPhysiology & Behavior
- Partner nations
- JapanCanadaUnited States
In The Last Decade
T. Morita
32 papers receiving 574 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 268
- Statistical and Nonlinear Physics 162
- Immunology 100
- Surgery 92
- Molecular Biology 78
Countries citing papers authored by T. Morita
This map shows the geographic impact of T. Morita'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 T. Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Morita more than expected).
Fields of papers citing papers by T. Morita
This network shows the impact of papers produced by T. Morita. 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 T. Morita. The network helps show where T. Morita may publish in the future.
Co-authorship network of co-authors of T. Morita
This figure shows the co-authorship network connecting the top 25 collaborators of T. Morita. A scholar is included among the top collaborators of T. Morita 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 T. Morita. T. Morita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 40 | |
| 4 | 28 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 15 | |
| 9 | In vitro effects of cytokines and human thyroglobulin on the induction of antibody-secreting cells in patients with auto-immune thyroid disease. | 4 |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 29 | |
| 14 | 3 | |
| 15 | 22 | |
| 16 | 16 | |
| 17 | 31 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 1 |
About T. Morita
T. Morita is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 587 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (11 papers), Mathematical Dynamics and Fractals (10 papers) and Chaos control and synchronization (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Statistical and Nonlinear Physics (162 citations) and Mathematical Physics (53 citations). T. Morita has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Kanji Kuma, H. Tamai, Sunao Matsubayashi, Toshio Mukuta, T. Horita, Hideaki Hata, Hatsumi Mori, Keisuke Kawai, Fumio Matsuzuka and Keisuke Hirai. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Physiology & Behavior.
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.