M Matsuda
- Virology top 2%
- Molecular Biology
- Infectious Diseases top 10%
- Immunology
- Oncology
- Co-authors
- Max EssexT H LeeZene MatsudaXin YuanXiaotian YuHiroshi UshiroYasuhiro MitsuuchiShigetaka Suzuki
- Topics
- HIV Research and Treatment (4 papers)HIV/AIDS drug development and treatment (3 papers)Salmonella and Campylobacter epidemiology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
M Matsuda
24 papers receiving 632 citations
Peers
Comparison fields: 5 of 77
- Virology 322
- Molecular Biology 270
- Infectious Diseases 206
- Immunology 182
- Oncology 157
Countries citing papers authored by M Matsuda
This map shows the geographic impact of M 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 M Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Matsuda more than expected).
Fields of papers citing papers by M Matsuda
This network shows the impact of papers produced by M 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 M Matsuda. The network helps show where M Matsuda may publish in the future.
Co-authorship network of co-authors of M Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of M Matsuda. A scholar is included among the top collaborators of M 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 M Matsuda. M 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 | 1 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | Analysis of the hepatocyte growth factor receptor in regeneration and oncogenesis of the liver. | 5 |
| 12 | 10 | |
| 13 | 6 | |
| 14 | [Angiotropic lymphoma presenting with subacute dementia: treatment with combination chemotherapy (CHOP) based on antemortem diagnosis--a case report]. | 2 |
| 15 | 83 | |
| 16 | 26 | |
| 17 | 120 | |
| 18 | 84 | |
| 19 | 106 | |
| 20 | Comparison o the peptide "finger print" and antigenic specificity of a diphtheria toxin fragment produced by a phage-mutant lysogen and "fragments A and B" of the toxin. | 0 |
About M Matsuda
M Matsuda is a scholar working on Virology, Endocrinology and Microbiology, having authored 28 papers that have together received 657 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Virology (322 citations), Infectious Diseases (206 citations) and Immunology (182 citations). M Matsuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Max Essex, T H Lee, Zene Matsuda, T H Lee, Xin Yuan, Xiaotian Yu, Hiroshi Ushiro, Yasuhiro Mitsuuchi, Shigetaka Suzuki and Tomohiro Kurosaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.