Masahiro Matsuki
- Oncology top 10%
- Hepatology top 5%
- Molecular Biology
- Aging top 2%
- Pulmonary and Respiratory Medicine
- Co-authors
- Junji MatsuiYasuhiro FunahashiYuichi IinoHirofumi KunitomoTaisuke HoshiYoichi OzawaYuji YamamotoYukinori Minoshima
- Topics
- Cancer, Hypoxia, and Metabolism (6 papers)Renal cell carcinoma treatment (5 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masahiro Matsuki
13 papers receiving 832 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Oncology 280
- Hepatology 232
- Molecular Biology 231
- Aging 154
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Masahiro Matsuki
This map shows the geographic impact of Masahiro Matsuki'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 Masahiro Matsuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Matsuki more than expected).
Fields of papers citing papers by Masahiro Matsuki
This network shows the impact of papers produced by Masahiro Matsuki. 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 Masahiro Matsuki. The network helps show where Masahiro Matsuki may publish in the future.
Co-authorship network of co-authors of Masahiro Matsuki
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Matsuki. A scholar is included among the top collaborators of Masahiro Matsuki 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 Masahiro Matsuki. Masahiro Matsuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Lenvatinib plus anti-PD-1 antibody combination treatment activates CD8+ T cells through reduction of tumor-associated macrophage and activation of the interferon pathwaybreakdown → | 341 |
| 2 | 14 | |
| 3 | 186 | |
| 4 | 57 | |
| 5 | Lenvatinib Suppresses Angiogenesis through the Inhibition of both the VEGFR and FGFR Signaling Pathways | 6 |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | [Clinical features of six patients with pancreas metastasis from renal cell carcinoma]. | 3 |
| 10 | 6 | |
| 11 | 80 | |
| 12 | 19 | |
| 13 | 56 | |
| 14 | 68 |
About Masahiro Matsuki
Masahiro Matsuki is a scholar working on Aging, Endocrine and Autonomic Systems and Cancer Research, having authored 14 papers that have together received 839 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Renal cell carcinoma treatment (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (154 citations), Hepatology (232 citations) and Endocrine and Autonomic Systems (109 citations). Masahiro Matsuki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Junji Matsui, Yasuhiro Funahashi, Yuichi Iino, Hirofumi Kunitomo, Taisuke Hoshi, Yoichi Ozawa, Yuji Yamamoto, Yukinori Minoshima, Megumi Ikemori‐Kawada and Takayuki Kimura. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.