Mariko Sugiyama
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Endocrinology, Diabetes and Metabolism
- Physiology
- Epidemiology
- Co-authors
- Hiroshi ArimaTakeshi OnoueHidetaka SugaDaisuke HagiwaraRyoichi BannoShintaro IwamaYoshihiro ItoTaku Tsunekawa
- Topics
- Regulation of Appetite and Obesity (13 papers)Pancreatic function and diabetes (10 papers)Animal testing and alternatives (6 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismBehavioral Neuroscience
- Journals
- PLoS ONEDiabetesScientific Reports
- Partner nations
- JapanGermanySwitzerland
In The Last Decade
Mariko Sugiyama
51 papers receiving 449 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 101
- Endocrine and Autonomic Systems 96
- Endocrinology, Diabetes and Metabolism 78
- Physiology 77
- Epidemiology 70
Countries citing papers authored by Mariko Sugiyama
This map shows the geographic impact of Mariko Sugiyama'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 Mariko Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Sugiyama more than expected).
Fields of papers citing papers by Mariko Sugiyama
This network shows the impact of papers produced by Mariko Sugiyama. 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 Mariko Sugiyama. The network helps show where Mariko Sugiyama may publish in the future.
Co-authorship network of co-authors of Mariko Sugiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Sugiyama. A scholar is included among the top collaborators of Mariko Sugiyama 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 Mariko Sugiyama. Mariko Sugiyama 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | A Strategic Approach for Predicting Phototoxicity of Cosmetic Ingredients | 0 |
About Mariko Sugiyama
Mariko Sugiyama is a scholar working on Endocrine and Autonomic Systems, Small Animals and Developmental Neuroscience, having authored 54 papers that have together received 455 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Pancreatic function and diabetes (10 papers) and Animal testing and alternatives (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (96 citations), Endocrinology, Diabetes and Metabolism (78 citations) and Behavioral Neuroscience (15 citations). Mariko Sugiyama has collaborated with scholars based in Japan, Germany and Switzerland. Frequent co-authors include Hiroshi Arima, Takeshi Onoue, Hidetaka Suga, Daisuke Hagiwara, Ryoichi Banno, Shintaro Iwama, Yoshihiro Ito, Taku Tsunekawa, Hiroshi Takagi and Motomitsu Goto. Their work appears in journals such as PLoS ONE, Diabetes and Scientific Reports.
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.