Kaoru Yamamoto
- Surgery top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Complementary and alternative medicine top 1%
- Physiology top 10%
- Co-authors
- Futoshi OgitaKouji NishimuraIzumi TabataMotohiko MiyachiMotoki KouzakiTaka‐aki MatsuokaTakeshi MiyatsukaMunehide Matsuhisa
- Topics
- Pancreatic function and diabetes (15 papers)Metabolism, Diabetes, and Cancer (10 papers)Diet, Metabolism, and Disease (6 papers)
- Cited by
- Complementary and alternative medicineOrthopedics and Sports MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kaoru Yamamoto
64 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Surgery 618
- Molecular Biology 509
- Endocrinology, Diabetes and Metabolism 360
- Complementary and alternative medicine 308
- Physiology 295
Countries citing papers authored by Kaoru Yamamoto
This map shows the geographic impact of Kaoru Yamamoto'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 Kaoru Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Yamamoto more than expected).
Fields of papers citing papers by Kaoru Yamamoto
This network shows the impact of papers produced by Kaoru Yamamoto. 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 Kaoru Yamamoto. The network helps show where Kaoru Yamamoto may publish in the future.
Co-authorship network of co-authors of Kaoru Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Yamamoto. A scholar is included among the top collaborators of Kaoru Yamamoto 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 Kaoru Yamamoto. Kaoru Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 34 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 57 | |
| 14 | 51 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | Synthesis of Rat Glucagon-Like Peptide (GLP)-2 and Its Biological and Immunochemical Studies | 1 |
| 19 | 2 | |
| 20 | 470 |
About Kaoru Yamamoto
Kaoru Yamamoto is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Hematology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (10 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Complementary and alternative medicine (308 citations), Orthopedics and Sports Medicine (287 citations) and Endocrinology, Diabetes and Metabolism (360 citations). Kaoru Yamamoto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Futoshi Ogita, Kouji Nishimura, Izumi Tabata, Motohiko Miyachi, Motoki Kouzaki, Taka‐aki Matsuoka, Takeshi Miyatsuka, Munehide Matsuhisa, Ken Kato and Hideaki Kaneto. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development 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.