Keiko Matsue

561 citations
15 papers · 479 indexed · h-index 9
Topics
T-cell and B-cell Immunology (10 papers)Immunotherapy and Immune Responses (9 papers)Immune Cell Function and Interaction (7 papers)
Partner nations
JapanUnited States

In The Last Decade

Keiko Matsue

15 papers receiving 469 citations

Peers

Keiko Matsue
Comparison fields: 5 of 60
  • Immunology 329
  • Molecular Biology 173
  • Oncology 55
  • Hematology 50
  • Epidemiology 41
Replace Nadine Bollig with:
Nadine Bollig Germany
Dianne H. Wilson United States
Leslie D. Abelson United States
Rita J. Luther United States
E Nößner Germany
David Voehringer Germany
Ruth Draeger Germany
Loreto Parga‐Vidal Netherlands
Virginia Andreani Germany
Shigeharu Fujita Japan
Keiko Matsue relative to Nadine Bollig Germany Nadine Bollig's profile →
Citations per field
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Nadine Bollig · 1×
Citations per year

Countries citing papers authored by Keiko Matsue

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Matsue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Matsue

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 71
2 7
3 115
4 22
5 13
6 1
7 40
8 139
9 7
10 18
11 8
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 14
15
Viability of lymphocytes in stored blood: their surface markers, mitogenic response and MLC reactivity.
10

About Keiko Matsue

Keiko Matsue is a scholar working on Immunology, Hematology and Dermatology, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Immunology (329 citations), Transplantation (14 citations) and Hematology (50 citations). Keiko Matsue has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyuki Matsue, Akira Takashima, Ko Okumura, Hideo Yagita∥, Dale Edelbaum, Michael A. Walters, Chendong Yang, Mark E. Mummert, Masahiro Kusuhara and Naoko Kato. Their work appears in journals such as Nature Medicine, Blood and The Journal of Immunology.

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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