Yusuke Nakamura
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Genetics top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Tatsuhiko TsunodaToyomasa KatagiriYoichi FurukawaOsamu KitaharaToshihiro TanakaTakao YamoriMitsuru EmiTakahiro Nishide
- Topics
- RNA modifications and cancer (7 papers)Gene expression and cancer classification (5 papers)Molecular Biology Techniques and Applications (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yusuke Nakamura
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.2k
- Oncology 457
- Cancer Research 308
- Genetics 260
- Pathology and Forensic Medicine 200
Countries citing papers authored by Yusuke Nakamura
This map shows the geographic impact of Yusuke Nakamura'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 Yusuke Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Nakamura more than expected).
Fields of papers citing papers by Yusuke Nakamura
This network shows the impact of papers produced by Yusuke Nakamura. 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 Yusuke Nakamura. The network helps show where Yusuke Nakamura may publish in the future.
Co-authorship network of co-authors of Yusuke Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Nakamura. A scholar is included among the top collaborators of Yusuke Nakamura 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 Yusuke Nakamura. Yusuke Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 30 | |
| 3 | 9 | |
| 4 | The current and future applications of immunopharmacogenomics. | 2 |
| 5 | 83 | |
| 6 | Involvement of TMEM22 overexpression in the growth of renal cell carcinoma cells. | 30 |
| 7 | 39 | |
| 8 | 54 | |
| 9 | Growth and gene expression profile analyses of endometrial cancer cells expressing exogenous PTEN. | 74 |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 26 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 68 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 25 | |
| 20 | 122 |
About Yusuke Nakamura
Yusuke Nakamura is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Cancer Research (308 citations), Molecular Biology (1.2k citations) and Oncology (457 citations). Yusuke Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tatsuhiko Tsunoda, Toyomasa Katagiri, Yoichi Furukawa, Osamu Kitahara, Toshihiro Tanaka, Takao Yamori, Mitsuru Emi, Takahiro Nishide, Michio Ogawa and Kenichi Matsubara. Their work appears in journals such as Journal of Clinical Oncology, Diabetes and Biochemical and Biophysical Research 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.