A. Matsumoto
- Molecular Biology top 5%
- Cancer Research top 2%
- Immunology top 10%
- Biomedical Engineering top 10%
- Biomaterials top 10%
- Co-authors
- Yoshinobu TakakuraYuki TakahashiMakiya NishikawaMasaki MorishitaChonlada CharoenviriyakulTakafumi ImaiTakuma YamashitaHideo Saji
- Topics
- Extracellular vesicles in disease (10 papers)RNA Interference and Gene Delivery (5 papers)MicroRNA in disease regulation (5 papers)
- Journals
- BiomaterialsBiochemical and Biophysical Research CommunicationsJournal of Controlled Release
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
A. Matsumoto
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.5k
- Cancer Research 818
- Immunology 318
- Biomedical Engineering 291
- Biomaterials 105
Countries citing papers authored by A. Matsumoto
This map shows the geographic impact of A. Matsumoto'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 A. Matsumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Matsumoto more than expected).
Fields of papers citing papers by A. Matsumoto
This network shows the impact of papers produced by A. Matsumoto. 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 A. Matsumoto. The network helps show where A. Matsumoto may publish in the future.
Co-authorship network of co-authors of A. Matsumoto
This figure shows the co-authorship network connecting the top 25 collaborators of A. Matsumoto. A scholar is included among the top collaborators of A. Matsumoto 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 A. Matsumoto. A. Matsumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 27 | |
| 3 | 2 | |
| 4 | 31 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 32 | |
| 8 | 105 | |
| 9 | 4 | |
| 10 | 113 | |
| 11 | 319 | |
| 12 | 229 | |
| 13 | 184 | |
| 14 | Macrophage‐dependent clearance of systemically administered B16BL6‐derived exosomes from the blood circulation in micebreakdown → | 462 |
| 15 | 7 | |
| 16 | 34 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | Investigation of the local provocation test to PPP and IgA nephritis. | 11 |
| 20 | 23 |
About A. Matsumoto
A. Matsumoto is a scholar working on Cancer Research, Biomaterials and Pharmaceutical Science, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), RNA Interference and Gene Delivery (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (818 citations), Molecular Biology (1.5k citations) and Immunology (318 citations). A. Matsumoto has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yoshinobu Takakura, Yuki Takahashi, Makiya Nishikawa, Masaki Morishita, Chonlada Charoenviriyakul, Takafumi Imai, Takuma Yamashita, Hideo Saji, Kohei Sano and Yasushi Ishihama. Their work appears in journals such as Biomaterials, Biochemical and Biophysical Research Communications and Journal of Controlled Release.
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.