Tetsuro Sugisaki
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Tetsuya NoguchiYasuzo TsukadaMotoshige KudoTakuya NoguchiMasayuki WatanabeShinichi KohsakaTomoyuki KanamatsuKen Takamatsu
- Topics
- Growth Hormone and Insulin-like Growth Factors (12 papers)Thyroid Disorders and Treatments (8 papers)Adipose Tissue and Metabolism (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- JapanUnited States
In The Last Decade
Tetsuro Sugisaki
27 papers receiving 404 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 254
- Molecular Biology 173
- Physiology 111
- Endocrine and Autonomic Systems 63
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by Tetsuro Sugisaki
This map shows the geographic impact of Tetsuro Sugisaki'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 Tetsuro Sugisaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuro Sugisaki more than expected).
Fields of papers citing papers by Tetsuro Sugisaki
This network shows the impact of papers produced by Tetsuro Sugisaki. 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 Tetsuro Sugisaki. The network helps show where Tetsuro Sugisaki may publish in the future.
Co-authorship network of co-authors of Tetsuro Sugisaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Sugisaki. A scholar is included among the top collaborators of Tetsuro Sugisaki 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 Tetsuro Sugisaki. Tetsuro Sugisaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | 9 | |
| 16 | 36 | |
| 17 | 7 | |
| 18 | 43 | |
| 19 | 25 | |
| 20 | 37 |
About Tetsuro Sugisaki
Tetsuro Sugisaki is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Physiology, having authored 28 papers that have together received 423 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Thyroid Disorders and Treatments (8 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Developmental Neuroscience (54 citations) and Endocrine and Autonomic Systems (63 citations). Tetsuro Sugisaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsuya Noguchi, Yasuzo Tsukada, Motoshige Kudo, Takuya Noguchi, Masayuki Watanabe, Shinichi Kohsaka, Tomoyuki Kanamatsu, Ken Takamatsu, Masatoshi Kudo and Masaki Sekiguchi. Their work appears in journals such as Journal of Neuroscience, Journal of Neurochemistry and Life Sciences.
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.