Ryusei Matsuyama
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Surgery top 5%
- Co-authors
- Itaru EndoMasanori OshiKazuaki TakabeYoshihisa TokumaruLi YanRintaro MoriKuniya TanakaRobert M. Hoffman
- Topics
- Pancreatic and Hepatic Oncology Research (53 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (33 papers)Gallbladder and Bile Duct Disorders (29 papers)
- Cited by
- BiotechnologyOncologyCancer Research
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Ryusei Matsuyama
156 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 103
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 1.1k
- Cancer Research 869
- Surgery 814
Countries citing papers authored by Ryusei Matsuyama
This map shows the geographic impact of Ryusei 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 Ryusei Matsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusei Matsuyama more than expected).
Fields of papers citing papers by Ryusei Matsuyama
This network shows the impact of papers produced by Ryusei 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 Ryusei Matsuyama. The network helps show where Ryusei Matsuyama may publish in the future.
Co-authorship network of co-authors of Ryusei Matsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Ryusei Matsuyama. A scholar is included among the top collaborators of Ryusei 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 Ryusei Matsuyama. Ryusei 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 | 9 | |
| 3 | 13 | |
| 4 | A novel five-gene score to predict complete pathological response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer. | 10 |
| 5 | 41 | |
| 6 | 32 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | Stroke Volume Variation for the Evaluation of Circulating Blood Volume after Living Donor Liver Transplantation. | 1 |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 1 |
About Ryusei Matsuyama
Ryusei Matsuyama is a scholar working on Oncology, Biotechnology and Hepatology, having authored 168 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (53 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (33 papers) and Gallbladder and Bile Duct Disorders (29 papers). The work is most often cited by research in Biotechnology (739 citations), Oncology (1.8k citations) and Cancer Research (869 citations). Ryusei Matsuyama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Itaru Endo, Masanori Oshi, Kazuaki Takabe, Yoshihisa Tokumaru, Li Yan, Rintaro Mori, Kuniya Tanaka, Robert M. Hoffman, Takashi Murakami and Yasushi Ichikawa. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.