Ryuta Koishi
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Yukio AndoMitsuru ShimamuraHidehiko FurukawaMitsuru OnoTetsuya ShimizugawaHiroaki YasumoKenichi YoshidaTakafumi Kohama
- Topics
- Lipid metabolism and disorders (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Peroxisome Proliferator-Activated Receptors (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ryuta Koishi
24 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 1.3k
- Endocrinology, Diabetes and Metabolism 866
- Molecular Biology 569
- Cancer Research 547
- Surgery 301
Countries citing papers authored by Ryuta Koishi
This map shows the geographic impact of Ryuta Koishi'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 Ryuta Koishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuta Koishi more than expected).
Fields of papers citing papers by Ryuta Koishi
This network shows the impact of papers produced by Ryuta Koishi. 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 Ryuta Koishi. The network helps show where Ryuta Koishi may publish in the future.
Co-authorship network of co-authors of Ryuta Koishi
This figure shows the co-authorship network connecting the top 25 collaborators of Ryuta Koishi. A scholar is included among the top collaborators of Ryuta Koishi 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 Ryuta Koishi. Ryuta Koishi 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 | 5 | |
| 3 | 30 | |
| 4 | 233 | |
| 5 | 7 | |
| 6 | 71 | |
| 7 | 138 | |
| 8 | 99 | |
| 9 | 182 | |
| 10 | 76 | |
| 11 | 120 | |
| 12 | 13 | |
| 13 | 344 | |
| 14 | 306 | |
| 15 | 3 | |
| 16 | 28 | |
| 17 | 11 | |
| 18 | 28 | |
| 19 | 66 | |
| 20 | 12 |
About Ryuta Koishi
Ryuta Koishi is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (866 citations) and Cancer Research (547 citations). Ryuta Koishi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yukio Ando, Mitsuru Shimamura, Hidehiko Furukawa, Mitsuru Ono, Tetsuya Shimizugawa, Hiroaki Yasumo, Kenichi Yoshida, Takafumi Kohama, Morihiro Matsuda and Iichiro Shimomura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.