Noriyo Tokuda

781 citations
18 papers · 622 indexed · h-index 12
Topics
Glycosylation and Glycoproteins Research (13 papers)Galectins and Cancer Biology (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
Partner nations
JapanFrance

In The Last Decade

Noriyo Tokuda

18 papers receiving 614 citations

Peers

Noriyo Tokuda
Comparison fields: 5 of 68
  • Molecular Biology 411
  • Immunology 191
  • Physiology 117
  • Cell Biology 100
  • Endocrinology 65
Replace Brian R. Mullin with:
Brian R. Mullin United States
Robiul Hasan Bhuiyan Japan
Laura Rodríguez de la Ballina Norway
Paulina Sosicka Poland
Christian Wrocklage Germany
Alicia Cabezas Spain
Ling Zhen United States
Jeremy Copp United States
Aymeric Fouquier d’Hérouël Luxembourg
Zhenyuan Tang United States
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Citations per field
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Brian R. Mullin · 1×
Citations per year

Countries citing papers authored by Noriyo Tokuda

Since Specialization
Citations

This map shows the geographic impact of Noriyo Tokuda'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 Noriyo Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyo Tokuda more than expected).

Fields of papers citing papers by Noriyo Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noriyo Tokuda. 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 Noriyo Tokuda. The network helps show where Noriyo Tokuda may publish in the future.

Co-authorship network of co-authors of Noriyo Tokuda

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyo Tokuda. A scholar is included among the top collaborators of Noriyo Tokuda 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 Noriyo Tokuda. Noriyo Tokuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 46
2 8
3 1
4 42
5 46
6 11
7 28
8 40
9 9
10
Strong antibody reaction against glycosphingolipids injected in liposome-embedded forms in beta3GN-T5 knockout mice.
2
11 11
12
Expression and roles of a xenopus head-forming gene homologue in human cancer cell lines.
8
13 25
14 148
15 90
16 44
17 59
18 4

About Noriyo Tokuda

Noriyo Tokuda is a scholar working on Immunology, Endocrinology and Biochemistry, having authored 18 papers that have together received 622 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Galectins and Cancer Biology (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Endocrinology (65 citations), Immunology (191 citations) and Biochemistry (45 citations). Noriyo Tokuda has collaborated with scholars based in Japan and France. Frequent co-authors include Keiko Furukawa, Koichi Furukawa, Takeshi Urano, Orie Tajima, T. OKUDA, Yuji Kondo, Shoko Yoshida, Hitomi Takanaga, Ken‐ichi Hosoya and Sumio Ohtsuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

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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