Keizô Yamamoto
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Organic Chemistry top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Shigeyoshi OsakiMasami KusunokiHideo MiyakeShiro TabataItaru UrabeTetsuya YomoShozo KusachiAtsushi Hirohata
- Topics
- Enzyme Structure and Function (11 papers)Enzyme Production and Characterization (9 papers)Carbohydrate Chemistry and Synthesis (9 papers)
- Journals
- Journal of Biological ChemistryNature BiotechnologyJournal of the American College of Cardiology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keizô Yamamoto
117 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 645
- Cardiology and Cardiovascular Medicine 398
- Organic Chemistry 306
- Endocrinology, Diabetes and Metabolism 266
- Surgery 264
Countries citing papers authored by Keizô Yamamoto
This map shows the geographic impact of Keizô 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 Keizô Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizô Yamamoto more than expected).
Fields of papers citing papers by Keizô Yamamoto
This network shows the impact of papers produced by Keizô 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 Keizô Yamamoto. The network helps show where Keizô Yamamoto may publish in the future.
Co-authorship network of co-authors of Keizô Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Keizô Yamamoto. A scholar is included among the top collaborators of Keizô 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 Keizô Yamamoto. Keizô 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 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 42 | |
| 6 | 24 | |
| 7 | Why Does the Spider Silk Show the High Resistivity of UV Rays | 0 |
| 8 | 81 | |
| 9 | 97 | |
| 10 | 305 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 57 | |
| 14 | 34 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 1 |
About Keizô Yamamoto
Keizô Yamamoto is a scholar working on Biotechnology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Enzyme Production and Characterization (9 papers) and Carbohydrate Chemistry and Synthesis (9 papers). The work is most often cited by research in Biotechnology (167 citations), Cardiology and Cardiovascular Medicine (398 citations) and Endocrinology, Diabetes and Metabolism (266 citations). Keizô Yamamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shigeyoshi Osaki, Masami Kusunoki, Hideo Miyake, Shiro Tabata, Itaru Urabe, Tetsuya Yomo, Shozo Kusachi, Atsushi Hirohata, Takashi Murakami and Yasufumi Shima. Their work appears in journals such as Journal of Biological Chemistry, Nature Biotechnology and Journal of the American College of Cardiology.
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.