Shingo Takatori
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Hiromu KawasakiYoshito ZamamiMitsuhiro GodaNarumi Hashikawa‐HobaraYoshihisa KitamuraXin JinToshihiro KoyamaPanot Tangsucharit
- Topics
- Neuropeptides and Animal Physiology (22 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers)Nitric Oxide and Endothelin Effects (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaDiabetes
In The Last Decade
Shingo Takatori
62 papers receiving 815 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 226
- Cellular and Molecular Neuroscience 207
- Physiology 198
- Cardiology and Cardiovascular Medicine 132
- Endocrinology, Diabetes and Metabolism 127
Countries citing papers authored by Shingo Takatori
This map shows the geographic impact of Shingo Takatori'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 Shingo Takatori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Takatori more than expected).
Fields of papers citing papers by Shingo Takatori
This network shows the impact of papers produced by Shingo Takatori. 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 Shingo Takatori. The network helps show where Shingo Takatori may publish in the future.
Co-authorship network of co-authors of Shingo Takatori
This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Takatori. A scholar is included among the top collaborators of Shingo Takatori 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 Shingo Takatori. Shingo Takatori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 37 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 31 | |
| 18 | 17 | |
| 19 | 24 | |
| 20 | 12 |
About Shingo Takatori
Shingo Takatori is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Hepatology, having authored 64 papers that have together received 839 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (22 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers) and Nitric Oxide and Endothelin Effects (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (207 citations), Insect Science (98 citations) and Endocrine and Autonomic Systems (52 citations). Shingo Takatori has collaborated with scholars based in Japan, China and Thailand. Frequent co-authors include Hiromu Kawasaki, Yoshito Zamami, Mitsuhiro Goda, Narumi Hashikawa‐Hobara, Yoshihisa Kitamura, Xin Jin, Toshihiro Koyama, Panot Tangsucharit, Naoya Hashikawa and Mitsunobu Mio. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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.