Katsuhiko Sumiyoshi
- Molecular Biology
- Surgery
- Immunology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Hiroyuki DaidaKazunori ShimadaTetsuro MiyazakiHiroshi MokunoAtsumi KumeTakashi KiyanagiKatsumi MiyauchiHirotoshi Ohmura
- Topics
- Atherosclerosis and Cardiovascular Diseases (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Cited by
- BiochemistryNutrition and Dietetics
- Partner nations
- JapanUnited States
In The Last Decade
Katsuhiko Sumiyoshi
23 papers receiving 603 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 156
- Surgery 139
- Immunology 136
- Endocrinology, Diabetes and Metabolism 119
- Cardiology and Cardiovascular Medicine 118
Countries citing papers authored by Katsuhiko Sumiyoshi
This map shows the geographic impact of Katsuhiko Sumiyoshi'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 Katsuhiko Sumiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiko Sumiyoshi more than expected).
Fields of papers citing papers by Katsuhiko Sumiyoshi
This network shows the impact of papers produced by Katsuhiko Sumiyoshi. 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 Katsuhiko Sumiyoshi. The network helps show where Katsuhiko Sumiyoshi may publish in the future.
Co-authorship network of co-authors of Katsuhiko Sumiyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiko Sumiyoshi. A scholar is included among the top collaborators of Katsuhiko Sumiyoshi 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 Katsuhiko Sumiyoshi. Katsuhiko Sumiyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 34 | |
| 7 | 26 | |
| 8 | 77 | |
| 9 | 37 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 21 | |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 26 | |
| 17 | 高レベルの飽和極長鎖脂肪酸(C26:0)は冠状動脈疾患に対する新しい独立した危険マーカーである | 1 |
| 18 | 22 | |
| 19 | 44 | |
| 20 | 108 |
About Katsuhiko Sumiyoshi
Katsuhiko Sumiyoshi is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Immunology, having authored 23 papers that have together received 617 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (72 citations), Nutrition and Dietetics (116 citations) and Biochemistry (53 citations). Katsuhiko Sumiyoshi has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyuki Daida, Kazunori Shimada, Tetsuro Miyazaki, Hiroshi Mokuno, Atsumi Kume, Takashi Kiyanagi, Katsumi Miyauchi, Hirotoshi Ohmura, Makoto Hiki and Kosuke Fukao. Their work appears in journals such as Circulation, Biochemical and Biophysical Research Communications and Cardiovascular Research.
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.