Takuya Sakamoto
- Plant Science top 5%
- Molecular Biology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pollution top 5%
- Co-authors
- Toru FujiwaraSachihiro MatsunagaShimpei UraguchiTakehiro KamiyaYutaka SatoSatoru IshikawaJunko KyozukaKoji Kasai
- Topics
- Plant Molecular Biology Research (16 papers)Genomics and Chromatin Dynamics (12 papers)Chromosomal and Genetic Variations (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takuya Sakamoto
130 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 133
- Plant Science 808
- Molecular Biology 768
- Surgery 428
- Endocrinology, Diabetes and Metabolism 257
- Pollution 225
Countries citing papers authored by Takuya Sakamoto
This map shows the geographic impact of Takuya Sakamoto'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 Takuya Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Sakamoto more than expected).
Fields of papers citing papers by Takuya Sakamoto
This network shows the impact of papers produced by Takuya Sakamoto. 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 Takuya Sakamoto. The network helps show where Takuya Sakamoto may publish in the future.
Co-authorship network of co-authors of Takuya Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Sakamoto. A scholar is included among the top collaborators of Takuya Sakamoto 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 Takuya Sakamoto. Takuya Sakamoto 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 60 | |
| 12 | [A Case of an Elderly Patient with Unresectable HER2-Positive Gastric Cancer Successfully Treated by Chemotherapy Combined with Trastuzumab over a Long Period]. | 0 |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 113 | |
| 17 | 19 | |
| 18 | Isolation of mutants sensitive to excess boron | 2 |
| 19 | 115 | |
| 20 | 7 |
About Takuya Sakamoto
Takuya Sakamoto is a scholar working on Gastroenterology, Nephrology and Plant Science, having authored 147 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (16 papers), Genomics and Chromatin Dynamics (12 papers) and Chromosomal and Genetic Variations (10 papers). The work is most often cited by research in Plant Science (808 citations), Pollution (225 citations) and Endocrinology, Diabetes and Metabolism (257 citations). Takuya Sakamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toru Fujiwara, Sachihiro Matsunaga, Shimpei Uraguchi, Takehiro Kamiya, Yutaka Sato, Satoru Ishikawa, Junko Kyozuka, Koji Kasai, Akiko Yoshida and Yoshiaki Nagamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.