Y. Matsuoka
- Molecular Biology top 10%
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Physiology top 10%
- Co-authors
- Richard W. CompansYasuo YagiDavid PressmanGeorge E. MooreIchiro SakamotoK HayashiNaofumi MatsunagaMasataka Uetani
- Topics
- Pain Mechanisms and Treatments (16 papers)Monoclonal and Polyclonal Antibodies Research (12 papers)Glycosylation and Glycoproteins Research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Y. Matsuoka
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 726
- Epidemiology 332
- Radiology, Nuclear Medicine and Imaging 260
- Surgery 246
- Physiology 239
Countries citing papers authored by Y. Matsuoka
This map shows the geographic impact of Y. Matsuoka'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 Y. Matsuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Matsuoka more than expected).
Fields of papers citing papers by Y. Matsuoka
This network shows the impact of papers produced by Y. Matsuoka. 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 Y. Matsuoka. The network helps show where Y. Matsuoka may publish in the future.
Co-authorship network of co-authors of Y. Matsuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Matsuoka. A scholar is included among the top collaborators of Y. Matsuoka 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 Y. Matsuoka. Y. Matsuoka 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 48 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 21 | |
| 13 | 41 | |
| 14 | 77 | |
| 15 | 17 | |
| 16 | 23 | |
| 17 | 26 | |
| 18 | 33 | |
| 19 | 34 | |
| 20 | Development of a new sensitive immunoradiometric assay for CA125: Mixed use of two monoclonal antibodies reactive with separate epitopes | 7 |
About Y. Matsuoka
Y. Matsuoka is a scholar working on Physiology, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Hepatology (211 citations), Hematology (132 citations) and Radiology, Nuclear Medicine and Imaging (260 citations). Y. Matsuoka has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Richard W. Compans, Yasuo Yagi, David Pressman, George E. Moore, Ichiro Sakamoto, K Hayashi, Naofumi Matsunaga, Masataka Uetani, Daniel Kolakofsky and Joseph Curran. 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.