Taku Yamamura
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Akira YamamotoTohru FunahashiShinji YokoyamaYūji MatsuzawaShoji TajimaYasuko MiyakeB KishinoKatsuhiko Hiramori
- Topics
- Lipoproteins and Cardiovascular Health (31 papers)Cancer, Lipids, and Metabolism (18 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Taku Yamamura
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Surgery 870
- Endocrinology, Diabetes and Metabolism 682
- Molecular Biology 372
- Cardiology and Cardiovascular Medicine 360
- Cancer Research 304
Countries citing papers authored by Taku Yamamura
This map shows the geographic impact of Taku Yamamura'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 Taku Yamamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Yamamura more than expected).
Fields of papers citing papers by Taku Yamamura
This network shows the impact of papers produced by Taku Yamamura. 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 Taku Yamamura. The network helps show where Taku Yamamura may publish in the future.
Co-authorship network of co-authors of Taku Yamamura
This figure shows the co-authorship network connecting the top 25 collaborators of Taku Yamamura. A scholar is included among the top collaborators of Taku Yamamura 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 Taku Yamamura. Taku Yamamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 73 | |
| 4 | 89 | |
| 5 | 5 | |
| 6 | 54 | |
| 7 | 30 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 8 | |
| 20 | 14 |
About Taku Yamamura
Taku Yamamura is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (31 papers), Cancer, Lipids, and Metabolism (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (682 citations), Cancer Research (304 citations) and Surgery (870 citations). Taku Yamamura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akira Yamamoto, Tohru Funahashi, Shinji Yokoyama, Yūji Matsuzawa, Shoji Tajima, Yasuko Miyake, B Kishino, Katsuhiko Hiramori, Katsunori ISHIKAWA and Hiroshi Sudo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.