Terunori Mitsuma
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Neurology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Co-authors
- Gen SobueTakeshi YasudaCharles S. HollanderManabu DoyuAkira TakahashiT NogimoriElizabeth ShenkmanYoshio Hashizume
- Topics
- Neuropeptides and Animal Physiology (56 papers)Thyroid Disorders and Treatments (53 papers)Growth Hormone and Insulin-like Growth Factors (28 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Terunori Mitsuma
245 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 2.3k
- Molecular Biology 1.6k
- Neurology 1.2k
- Endocrinology, Diabetes and Metabolism 837
- Physiology 606
Countries citing papers authored by Terunori Mitsuma
This map shows the geographic impact of Terunori Mitsuma'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 Terunori Mitsuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terunori Mitsuma more than expected).
Fields of papers citing papers by Terunori Mitsuma
This network shows the impact of papers produced by Terunori Mitsuma. 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 Terunori Mitsuma. The network helps show where Terunori Mitsuma may publish in the future.
Co-authorship network of co-authors of Terunori Mitsuma
This figure shows the co-authorship network connecting the top 25 collaborators of Terunori Mitsuma. A scholar is included among the top collaborators of Terunori Mitsuma 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 Terunori Mitsuma. Terunori Mitsuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 47 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 19 | |
| 8 | [Somatoparaphrenia caused by the lesion in the dominant cerebral hemisphere--a case report]. | 11 |
| 9 | 9 | |
| 10 | 49 | |
| 11 | 73 | |
| 12 | 26 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 98 | |
| 16 | 2 | |
| 17 | 22 | |
| 18 | 19 | |
| 19 | [Effect of vasoactive intestinal polypeptide on liver blood flow in rat]. | 1 |
| 20 | 1 |
About Terunori Mitsuma
Terunori Mitsuma is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 252 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (56 papers), Thyroid Disorders and Treatments (53 papers) and Growth Hormone and Insulin-like Growth Factors (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Neurology (1.2k citations) and Genetics (581 citations). Terunori Mitsuma has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Gen Sobue, Takeshi Yasuda, Charles S. Hollander, Manabu Doyu, Akira Takahashi, T Nogimori, Elizabeth Shenkman, Yoshio Hashizume, Eiichiro Mukai and Masahiko Yamamoto. Their work appears in journals such as Science, The Lancet and Journal of Clinical Investigation.
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.