Setsuko Moriya
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Caveolin-1 and cellular processes
- Cellular transport and secretion
Papers in
- Immunology 15
- Galectins and Cancer Biology 14
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- Glycosylation and Glycoproteins Research 22
- vaccines and immunoinformatics approaches 2
- Co-authors
- Taeko Miyagi (19 shared papers)Kazunori Yamaguchi (12 shared papers)Kazuhiro Shiozaki (7 shared papers)Koichi Koseki (4 shared papers)Keiko Hata (5 shared papers)Tadashi Wada (5 shared papers)Kohta Takahashi (6 shared papers)Takuro Wada (4 shared papers)
- Journals
- Biochemical Journal (3 papers)Cancer Science (3 papers)International Journal of Cancer (2 papers)PLoS ONE (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Setsuko Moriya
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Immunology 445
- Cell Biology 267
- Molecular Biology 895
- Organic Chemistry 187
- Physiology 137
Countries citing papers authored by Setsuko Moriya
This map shows the geographic impact of Setsuko Moriya'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 Setsuko Moriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Setsuko Moriya more than expected).
Fields of papers citing papers by Setsuko Moriya
This network shows the impact of papers produced by Setsuko Moriya. 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 Setsuko Moriya. The network helps show where Setsuko Moriya may publish in the future.
Co-authors
The 25 scholars most cited alongside Setsuko Moriya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 156 | |
| 2 | 2005 | 130 | |
| 3 | 2007 | 88 | |
| 4 | 2001 | 80 | |
| 5 | 2007 | 74 | |
| 6 | 2011 | 68 | |
| 7 | 2011 | 64 | |
| 8 | 2010 | 59 | |
| 9 | 1997 | 53 | |
| 10 | 2012 | 46 | |
| 11 | 2006 | 43 | |
| 12 | 2015 | 33 | |
| 13 | 2011 | 32 | |
| 14 | 2009 | 32 | |
| 15 | 2015 | 29 | |
| 16 | 2001 | 25 | |
| 17 | 2001 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2015 | 17 | |
| 20 | 2012 | 15 |
About Setsuko Moriya
Setsuko Moriya is a scholar working on Immunology, Molecular Biology, Cell Biology, Biotechnology and Physiology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Galectins and Cancer Biology (14 papers), Caveolin-1 and cellular processes (5 papers), Cancer Research and Treatments (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lysosomal Storage Disorders Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (445 citations), Cell Biology (267 citations), Molecular Biology (895 citations), Organic Chemistry (187 citations) and Physiology (137 citations). Setsuko Moriya has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Taeko Miyagi, Kazunori Yamaguchi, Kazuhiro Shiozaki, Koichi Koseki, Keiko Hata, Tadashi Wada, Kohta Takahashi, Takuro Wada, Taeko Miyagi and Makoto Kiso. Their work appears in journals such as Biochemical Journal, Cancer Science, International Journal of Cancer, PLoS ONE and Antimicrobial Agents and Chemotherapy.
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.