Masateru Yamada
- Molecular Biology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Nutrition and Dietetics top 2%
- Physiology top 10%
- Co-authors
- Gozoh TsujimotoAkira HirasawaSusumu KatsumaTetsuya AdachiTakeo AwajiYukihiko SugimotoShunichi MiyazakiKazuo Ohuchi
- Topics
- Inflammatory mediators and NSAID effects (6 papers)Nitric Oxide and Endothelin Effects (4 papers)Eicosanoids and Hypertension Pharmacology (4 papers)
- Cited by
- Endocrine and Autonomic SystemsNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Masateru Yamada
24 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 808
- Surgery 484
- Endocrinology, Diabetes and Metabolism 479
- Nutrition and Dietetics 450
- Physiology 304
Countries citing papers authored by Masateru Yamada
This map shows the geographic impact of Masateru Yamada'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 Masateru Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masateru Yamada more than expected).
Fields of papers citing papers by Masateru Yamada
This network shows the impact of papers produced by Masateru Yamada. 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 Masateru Yamada. The network helps show where Masateru Yamada may publish in the future.
Co-authorship network of co-authors of Masateru Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Masateru Yamada. A scholar is included among the top collaborators of Masateru Yamada 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 Masateru Yamada. Masateru Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 21 | |
| 4 | 105 | |
| 5 | 16 | |
| 6 | Free fatty acids regulate gut incretin glucagon-like peptide-1 secretion through GPR120breakdown → | 1229 |
| 7 | 8 | |
| 8 | 38 | |
| 9 | 81 | |
| 10 | 26 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | 76 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 21 | |
| 19 | 12 | |
| 20 | 13 |
About Masateru Yamada
Masateru Yamada is a scholar working on Nephrology, Biochemistry and Pharmacology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (6 papers), Nitric Oxide and Endothelin Effects (4 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (236 citations), Nutrition and Dietetics (450 citations) and Endocrinology, Diabetes and Metabolism (479 citations). Masateru Yamada has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Gozoh Tsujimoto, Akira Hirasawa, Susumu Katsuma, Tetsuya Adachi, Takeo Awaji, Yukihiko Sugimoto, Shunichi Miyazaki, Kazuo Ohuchi, Kuk Hyun Shin and Hidenori Mochizuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The FASEB Journal.
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.