Satoshi Koyama
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Genetics top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Junji MiyakoshiPradeep NatarajanYukihito SatoHisayoshi FujiwaraHaruko HiraikeOsamu Wada‐HiraikeKenbun SoneKatsutoshi Oda
- Topics
- Genetic Associations and Epidemiology (10 papers)Lipoproteins and Cardiovascular Health (8 papers)Heart Failure Treatment and Management (8 papers)
- Journals
- CellCirculationNature Medicine
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Satoshi Koyama
87 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 637
- Cardiology and Cardiovascular Medicine 318
- Surgery 250
- Genetics 199
- Pulmonary and Respiratory Medicine 196
Countries citing papers authored by Satoshi Koyama
This map shows the geographic impact of Satoshi Koyama'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 Satoshi Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Koyama more than expected).
Fields of papers citing papers by Satoshi Koyama
This network shows the impact of papers produced by Satoshi Koyama. 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 Satoshi Koyama. The network helps show where Satoshi Koyama may publish in the future.
Co-authorship network of co-authors of Satoshi Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Koyama. A scholar is included among the top collaborators of Satoshi Koyama 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 Satoshi Koyama. Satoshi Koyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | A multi-ancestry polygenic risk score improves risk prediction for coronary artery diseasebreakdown → | 98 |
| 16 | 4 | |
| 17 | 52 | |
| 18 | 30 | |
| 19 | Abstract 17676: Microrna-33b Promotes Atherosclerotic Plaque Formation in Apoe-/- Mice | 1 |
| 20 | 69 |
About Satoshi Koyama
Satoshi Koyama is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Genetics, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Lipoproteins and Cardiovascular Health (8 papers) and Heart Failure Treatment and Management (8 papers). The work is most often cited by research in Geriatrics and Gerontology (123 citations), Biophysics (127 citations) and Cardiology and Cardiovascular Medicine (318 citations). Satoshi Koyama has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Junji Miyakoshi, Pradeep Natarajan, Yukihito Sato, Hisayoshi Fujiwara, Haruko Hiraike, Osamu Wada‐Hiraike, Kenbun Sone, Katsutoshi Oda, Shunsuke Nakagawa and Yuji Kobayashi. Their work appears in journals such as Cell, Circulation and Nature Medicine.
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.