Mari Masuda
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cancer Research top 10%
Papers in
- Virology 4
-
- Advanced Biosensing Techniques and Applications 6
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Tesshi YamadaYoshinori MurakamiTomoko MaruyamaMika Sakurai‐YagetaMasaaki SawaHiroshi FukuharaMasami KuramochiTakeshi Fukami
- Journals
- Cancer Science (4 papers)Journal of Virology (4 papers)Journal of Biological Chemistry (3 papers)Expert Opinion on Therapeutic Targets (2 papers)Annals of Oncology (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mari Masuda
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Virology 95
- Cancer Research 277
- Cell Biology 290
- Molecular Biology 1.2k
- Oncology 342
Countries citing papers authored by Mari Masuda
This map shows the geographic impact of Mari Masuda'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 Mari Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Masuda more than expected).
Fields of papers citing papers by Mari Masuda
This network shows the impact of papers produced by Mari Masuda. 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 Mari Masuda. The network helps show where Mari Masuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mari Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 20 | |
| 8 | 2016 | 128 | |
| 9 | 2015 | 90 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 31 | |
| 12 | 2010 | 97 | |
| 13 | Abstract #291: Spontaeous development of lung adenocarcinoma in mice lacking the tumor suppressor gene, CADM1/TSLC1 | 2009 | 1 |
| 14 | 2009 | 56 | |
| 15 | 2009 | 28 | |
| 16 | 2005 | 44 | |
| 17 | 2003 | 1 | |
| 18 | 2002 | 145 | |
| 19 | 1995 | 44 | |
| 20 | 1993 | 0 |
About Mari Masuda
Mari Masuda is a scholar working on Virology, Molecular Biology, Oncology, Physiology and Cancer Research, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (6 papers), Sarcoma Diagnosis and Treatment (5 papers), Glycosylation and Glycoproteins Research (4 papers), Virus-based gene therapy research (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Virology (95 citations), Cancer Research (277 citations), Cell Biology (290 citations), Molecular Biology (1.2k citations) and Oncology (342 citations). Mari Masuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tesshi Yamada, Yoshinori Murakami, Tomoko Maruyama, Mika Sakurai‐Yageta, Masaaki Sawa, Hiroshi Fukuhara, Masami Kuramochi, Takeshi Fukami, Paul M. Hoffman and Yuko Williams. Their work appears in journals such as Cancer Science, Journal of Virology, Journal of Biological Chemistry, Expert Opinion on Therapeutic Targets and Annals of Oncology.
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.