K Matsuyama
- Molecular Biology
- Microbiology top 2%
- Immunology
- Insect Science top 5%
- Genetics
- Co-authors
- Shunji NatoriY MorishimaAkio MatsudaKouhei YamamotoKenichi KomatsuYusuke HayashiKiyotsugu YoshikawaHiroko Sugiura
- Topics
- Hematopoietic Stem Cell Transplantation (4 papers)Antimicrobial Peptides and Activities (3 papers)Advanced Drug Delivery Systems (3 papers)
- Cited by
- MicrobiologyInsect ScienceImmunology
- Partner nations
- JapanEgyptUnited States
In The Last Decade
K Matsuyama
29 papers receiving 728 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 378
- Microbiology 231
- Immunology 209
- Insect Science 157
- Genetics 115
Countries citing papers authored by K Matsuyama
This map shows the geographic impact of K 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 K Matsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Matsuyama more than expected).
Fields of papers citing papers by K Matsuyama
This network shows the impact of papers produced by K 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 K Matsuyama. The network helps show where K Matsuyama may publish in the future.
Co-authorship network of co-authors of K Matsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of K Matsuyama. A scholar is included among the top collaborators of K 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 K Matsuyama. K 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 | [A case of docetaxel-resistant breast cancer responsive to paclitaxel therapy]. | 2 |
| 3 | [Histoculture drug response assay on non-small cell lung cancer]. | 5 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 77 | |
| 9 | 26 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Congenital hypoplastic (Diamond-Blackfan) anemia: a possible role of natural killer cells in erythropoietic suppression. | 2 |
| 16 | 112 | |
| 17 | Comparison between bone marrow transplantation and immuno-suppressive therapy in treatment of patients younger than 20 years with severe aplastic anemia. | 4 |
| 18 | Allogeneic bone marrow transplantation in 25 patients with severe aplastic anemia. | 3 |
| 19 | 37 | |
| 20 | 19 |
About K Matsuyama
K Matsuyama is a scholar working on Hematology, Pharmaceutical Science and Microbiology, having authored 32 papers that have together received 773 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Antimicrobial Peptides and Activities (3 papers) and Advanced Drug Delivery Systems (3 papers). The work is most often cited by research in Microbiology (231 citations), Insect Science (157 citations) and Immunology (209 citations). K Matsuyama has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Shunji Natori, Y Morishima, Akio Matsuda, Kouhei Yamamoto, Kenichi Komatsu, Yusuke Hayashi, Kiyotsugu Yoshikawa, Hiroko Sugiura, Sanaa A. El‐Gizawy and J.H. Perrin. Their work appears in journals such as Journal of Biological Chemistry, Blood and Biochemical Journal.
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.