Kei Matsuda
- Molecular Biology
- Oncology top 10%
- Cell Biology top 5%
- Cancer Research
- Surgery
- Co-authors
- Murray KorcJörg KleeffJun ItakuraHaruhisa MaruyamaArthur D. LanderFeng GuoYoshitaka MatsumotoAlexander Koliopanos
- Topics
- Glycosylation and Glycoproteins Research (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)Vascular Malformations and Hemangiomas (2 papers)
- Cited by
- Cell BiologyOncologyCancer Research
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Kei Matsuda
12 papers receiving 669 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 478
- Oncology 305
- Cell Biology 226
- Cancer Research 148
- Surgery 67
Countries citing papers authored by Kei Matsuda
This map shows the geographic impact of Kei Matsuda'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 Kei Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Matsuda more than expected).
Fields of papers citing papers by Kei Matsuda
This network shows the impact of papers produced by Kei Matsuda. 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 Kei Matsuda. The network helps show where Kei Matsuda may publish in the future.
Co-authorship network of co-authors of Kei Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Kei Matsuda. A scholar is included among the top collaborators of Kei Matsuda 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 Kei Matsuda. Kei Matsuda 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 | 5 | |
| 4 | 34 | |
| 5 | Multiple mitogenic pathways in pancreatic cancer cells are blocked by a truncated epidermal growth factor receptor. | 41 |
| 6 | Soluble type II transforming growth factor-beta receptor attenuates expression of metastasis-associated genes and suppresses pancreatic cancer cell metastasis. | 71 |
| 7 | 2 | |
| 8 | 75 | |
| 9 | 75 | |
| 10 | Glypican-1 is overexpressed in human breast cancer and modulates the mitogenic effects of multiple heparin-binding growth factors in breast cancer cells. | 248 |
| 11 | 127 | |
| 12 | [Analysis of pancreatic stone protein gene of hereditary pancreatitis]. | 6 |
| 13 | [Pathology of the anomalous choledocho-pancreatic junction--action of pancreatic juice on the biliary tract]. | 2 |
About Kei Matsuda
Kei Matsuda is a scholar working on Cancer Research, Gastroenterology and Oncology, having authored 13 papers that have together received 687 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Vascular Malformations and Hemangiomas (2 papers). The work is most often cited by research in Cell Biology (226 citations), Oncology (305 citations) and Cancer Research (148 citations). Kei Matsuda has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Murray Korc, Jörg Kleeff, Jun Itakura, Haruhisa Maruyama, Arthur D. Lander, Feng Guo, Yoshitaka Matsumoto, Alexander Koliopanos, José R. Conejo-García and Markus W. Büchler. Their work appears in journals such as Gastroenterology, International Journal of Cancer and BioTechniques.
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.