Hideyasu Matsuyama
- Molecular Biology top 5%
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Oncology top 5%
- Co-authors
- Koji ShiraishiTomoki YanoKatsusuke NaitoRemy E. P. MangindaanHiroshi TakiharaYoshiaki YamamotoKazuhiro NagaoHiroaki Matsumoto
- Topics
- Bladder and Urothelial Cancer Treatments (93 papers)Urinary and Genital Oncology Studies (57 papers)Prostate Cancer Treatment and Research (44 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Hideyasu Matsuyama
281 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.7k
- Surgery 1.3k
- Pulmonary and Respiratory Medicine 1.1k
- Immunology 748
- Oncology 740
Countries citing papers authored by Hideyasu Matsuyama
This map shows the geographic impact of Hideyasu Matsuyama'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 Hideyasu Matsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyasu Matsuyama more than expected).
Fields of papers citing papers by Hideyasu Matsuyama
This network shows the impact of papers produced by Hideyasu Matsuyama. 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 Hideyasu Matsuyama. The network helps show where Hideyasu Matsuyama may publish in the future.
Co-authorship network of co-authors of Hideyasu Matsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyasu Matsuyama. A scholar is included among the top collaborators of Hideyasu Matsuyama 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 Hideyasu Matsuyama. Hideyasu Matsuyama 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 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 20 | |
| 13 | 20 | |
| 14 | 60 | |
| 15 | Utility of 19-Hydroxycholesterol as an Internal Standard Compound for the Quantitative Determination of Sterols Using Capillary Gas Chromatograph | 5 |
| 16 | Effect of hot-water extracts from marine algae on resistance of carp and yellowtail against bacterial infections | 36 |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 11 |
About Hideyasu Matsuyama
Hideyasu Matsuyama is a scholar working on Urology, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 297 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (93 papers), Urinary and Genital Oncology Studies (57 papers) and Prostate Cancer Treatment and Research (44 papers). The work is most often cited by research in Reproductive Medicine (693 citations), Aquatic Science (411 citations) and Urology (294 citations). Hideyasu Matsuyama has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Koji Shiraishi, Tomoki Yano, Katsusuke Naito, Remy E. P. Mangindaan, Hiroshi Takihara, Yoshiaki Yamamoto, Kazuhiro Nagao, Hiroaki Matsumoto, Satoru Yoshihiro and Chietaka Ohmi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.