Ken Yamakawa
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Michio ShimabukuroNamio HigaNobuyuki TakasuIchiro ChinenShinichiro UedaHiroaki MasuzakiMoritake HigaMasataka Sata
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Adipose Tissue and Metabolism (5 papers)Cardiovascular Disease and Adiposity (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineNutrition and Dietetics
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- JapanChinaUnited States
In The Last Decade
Ken Yamakawa
20 papers receiving 833 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 290
- Cardiology and Cardiovascular Medicine 246
- Physiology 229
- Molecular Biology 167
- Epidemiology 154
Countries citing papers authored by Ken Yamakawa
This map shows the geographic impact of Ken Yamakawa'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 Ken Yamakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Yamakawa more than expected).
Fields of papers citing papers by Ken Yamakawa
This network shows the impact of papers produced by Ken Yamakawa. 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 Ken Yamakawa. The network helps show where Ken Yamakawa may publish in the future.
Co-authorship network of co-authors of Ken Yamakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Yamakawa. A scholar is included among the top collaborators of Ken Yamakawa 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 Ken Yamakawa. Ken Yamakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 66 | |
| 3 | 22 | |
| 4 | 53 | |
| 5 | 21 | |
| 6 | 35 | |
| 7 | 74 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 34 | |
| 11 | 52 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 51 | |
| 15 | 123 | |
| 16 | 156 | |
| 17 | 54 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 7 |
About Ken Yamakawa
Ken Yamakawa is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 857 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adipose Tissue and Metabolism (5 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (290 citations), Cardiology and Cardiovascular Medicine (246 citations) and Nutrition and Dietetics (145 citations). Ken Yamakawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Michio Shimabukuro, Namio Higa, Nobuyuki Takasu, Ichiro Chinen, Shinichiro Ueda, Hiroaki Masuzaki, Moritake Higa, Masataka Sata, Tatsuya Tagawa and Katsuhiko Noguchi. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.