S. Yasue

477 citations
14 papers · 380 indexed · h-index 9
Topics
Cutaneous Melanoma Detection and Management (4 papers)Cutaneous lymphoproliferative disorders research (3 papers)Glycosylation and Glycoproteins Research (2 papers)
Partner nations
JapanIndiaUnited States

In The Last Decade

S. Yasue

14 papers receiving 375 citations

Peers

S. Yasue
Comparison fields: 5 of 60
  • Immunology 122
  • Molecular Biology 119
  • Immunology and Allergy 87
  • Hematology 86
  • Oncology 78
Replace Inna Verbovetski with:
Inna Verbovetski Israel
Caroline E. Zuber France
L. A. M. Van Den Bersselaar Netherlands
Belinda Baltus Netherlands
Marja‐Riitta Väisänen Finland
Beate Böhm Germany
Nobukuni Sawai Japan
Klemens Rappersberger Austria
T Nakano Japan
S. Yasue relative to Inna Verbovetski Israel Inna Verbovetski's profile →
Citations per field
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Inna Verbovetski · 1×
Citations per year

Countries citing papers authored by S. Yasue

Since Specialization
Citations

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

Fields of papers citing papers by S. Yasue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Yasue

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 8
2 5
3 11
4 6
5 22
6 17
7 39
8 5
9
Absent myocardial iodine-123-BMIPP uptake and platelet/monocyte CD36 deficiency.
35
10 97
11 115
12
Antibody to blood group glycosyltransferases in a patient transplanted with an ABO incompatible bone marrow.
6
13
Plasma glycosyltransferase activity after ABO-incompatible bone marrow transplantation and development of an inhibitor for glycosyltransferase activity.
8
14
[Clinical application of microfibrillar collagen hemostat (Avitene) in neurosurgical field].
6

About S. Yasue

S. Yasue is a scholar working on Dermatology, Oncology and Immunology, having authored 14 papers that have together received 380 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology and Allergy (87 citations), Hematology (86 citations) and Immunology (122 citations). S. Yasue has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Hitoshi Saitô, Takanobu Taniguchi, Takechiyo Yamada, Hirohei Yamamura, Tadatsugu Taniguchi, Keiko Sakai, Shun‐ichi Nakamura, Hiroshi Kitagawa, Shigeru Yanagi and Momoyo Asahi. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry and British Journal of Dermatology.

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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