Setsuko Moriya

1.2k citations
25 papers · 1.0k · h-index 18

Impact in

  • Immunology top 5%
    • Galectins and Cancer Biology
    • Proteoglycans and glycosaminoglycans research
    • Cellular transport and secretion

Papers in

Setsuko Moriya

25 papers receiving 1.0k citations

Peers

Setsuko Moriya
Comparison fields: 5 of 71
  • Immunology 439
  • Cell Biology 264
  • Molecular Biology 866
  • Organic Chemistry 179
  • Biotechnology 49
Replace Keiko Hata with:
Keiko Hata Japan
Taeko Miyagi Japan
Vibeke Westphal United States
Walter Gregory United States
Koichi Koseki Japan
Geoffrey R. Guile United Kingdom
J.J. Keusch Switzerland
William G. Chaney United States
A L Hubbard United States
Teruyuki Sakai Japan
Setsuko Moriya relative to Keiko Hata Japan Keiko Hata's profile →
Citations per field
00.5×1.5×
Keiko Hata · 1×
Citations per year

Countries citing papers authored by Setsuko Moriya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Setsuko Moriya Line = papers co-authored together Setsuko Moriya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008144
2 2005127
3 200782
4 200175
5 200771
6 201164
7 201157
8 201053
9 199752
10 201244
11 200640
12 200932
13 201531
14 201130
15 201527
16 200124
17 200121
18 201619
19 201517
20 201214

About Setsuko Moriya

Setsuko Moriya is a scholar working on Molecular Biology, Immunology, Cell Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.0k 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), Lysosomal Storage Disorders Research (3 papers), Cancer Research and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (439 citations), Cell Biology (264 citations), Molecular Biology (866 citations), Organic Chemistry (179 citations) and Biotechnology (49 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 Sadagopan Magesh. Their work appears in journals such as Biochemical Journal, Cancer Science, International Journal of Cancer, PLoS ONE and Advances in experimental medicine and biology.

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.

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