Shuji Matsuda
- Physiology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Pharmacology top 10%
- Co-authors
- Luciano D'adamioYukiko MatsudaRobert TamayevOttavio ArancioYasuro YoshimuraLuca GilibertoMeir H. ScheinfeldMasaoki Kawasumi
- Topics
- Alzheimer's disease research and treatments (10 papers)Prion Diseases and Protein Misfolding (7 papers)Genetics and Neurodevelopmental Disorders (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Shuji Matsuda
18 papers receiving 774 citations
Peers
Comparison fields: 5 of 72
- Physiology 489
- Molecular Biology 336
- Cellular and Molecular Neuroscience 196
- Cell Biology 151
- Pharmacology 130
Countries citing papers authored by Shuji Matsuda
This map shows the geographic impact of Shuji 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 Shuji Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Matsuda more than expected).
Fields of papers citing papers by Shuji Matsuda
This network shows the impact of papers produced by Shuji 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 Shuji Matsuda. The network helps show where Shuji Matsuda may publish in the future.
Co-authorship network of co-authors of Shuji Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Matsuda. A scholar is included among the top collaborators of Shuji 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 Shuji Matsuda. Shuji 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 | 6 | |
| 2 | 2 | |
| 3 | 116 | |
| 4 | 54 | |
| 5 | 45 | |
| 6 | 28 | |
| 7 | 51 | |
| 8 | 81 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 58 | |
| 12 | 159 | |
| 13 | 3 | |
| 14 | 56 | |
| 15 | 39 | |
| 16 | Role of ICAM-1 and LFA-1 in endotoxin-induced uveitis in mice. | 22 |
| 17 | 11 | |
| 18 | 41 |
About Shuji Matsuda
Shuji Matsuda is a scholar working on Complementary and Manual Therapy, Physiology and Cell Biology, having authored 18 papers that have together received 781 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Prion Diseases and Protein Misfolding (7 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Physiology (489 citations), Complementary and Manual Therapy (39 citations) and Cellular and Molecular Neuroscience (196 citations). Shuji Matsuda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Luciano D'adamio, Yukiko Matsuda, Robert Tamayev, Ottavio Arancio, Yasuro Yoshimura, Luca Giliberto, Meir H. Scheinfeld, Masaoki Kawasumi, Ikuo Nishimoto and Luciano D’Adamio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.