Kazuko Shibuya

6.4k citations
90 papers · 5.0k indexed · 2 hit papers · h-index 34
Topics
Immune Cell Function and Interaction (63 papers)T-cell and B-cell Immunology (48 papers)Immunotherapy and Immune Responses (21 papers)

In The Last Decade

Kazuko Shibuya

88 papers receiving 4.9k citations

Hit Papers

The effect of antigen dose on CD4+ T helper cell phenotyp...199520262005201519951997200400600

Peers

Kazuko Shibuya
Comparison fields: 5 of 117
  • Immunology 3.8k
  • Molecular Biology 911
  • Oncology 805
  • Physiology 438
  • Epidemiology 402
Replace Simon Fillatreau with:
Simon Fillatreau Germany
Matthieu Rouleau France
Federica Calzetti Italy
Maria‐Grazia Roncarolo Italy
Patrizia Scapini Italy
Max Löhning Germany
Booki Min United States
Thierry Defrance France
Motoko Y. Kimura Japan
Mike Bigler United States
Kazuko Shibuya relative to Simon Fillatreau Germany Simon Fillatreau's profile →
Citations per field
00.5×1.5×
Simon Fillatreau · 1×
Citations per year

Countries citing papers authored by Kazuko Shibuya

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Shibuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuko Shibuya

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 8
3 34
4 27
5 8
6 52
7 13
8 29
9 53
10 221
11 15
12 39
13 27
14 55
15 39
16 84
17 51
18 29
19 371
20
The effect of antigen dose on CD4+ T helper cell phenotype development in a T cell receptor-alpha beta-transgenic model.breakdown →
639

About Kazuko Shibuya

Kazuko Shibuya is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 90 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (63 papers), T-cell and B-cell Immunology (48 papers) and Immunotherapy and Immune Responses (21 papers). The work is most often cited by research in Immunology (3.8k citations), Immunology and Allergy (307 citations) and Oncology (805 citations). Kazuko Shibuya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akira Shibuya, Anne O’Garra, Kenneth M. Murphy, Nancy Hosken, Satoko Tahara‐Hanaoka, Shin‐ichiro Honda, Andrew W. Heath, Erin Murphy, Douglas S. Robinson and Suzanne B. Hartley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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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