Taku Okazaki

27.9k citations
70 papers · 20.0k · 15 hit papers · h-index 45

Impact in

  • Immunology top 0.05%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 0.05%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 40
    • T-cell and B-cell Immunology 22
    • Immunotherapy and Immune Responses 17
    • Cancer Immunotherapy and Biomarkers 35
    • CAR-T cell therapy research 13

Taku Okazaki

70 papers receiving 19.7k citations

Taku Okazaki's Hit Papers

A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application 2013 · 713 citations
7130+8+17Years since publication10002.0k3.0k4.0k

Peers

Taku Okazaki
Comparison fields: 5 of 125
  • Immunology 11.9k
  • Oncology 12.4k
  • Endocrine and Autonomic Systems 872
  • Hepatology 524
  • Pulmonary and Respiratory Medicine 1.8k
Replace Nagahiro Minato with:
Nagahiro Minato Japan
Shannon J. Turley United States
Dontscho Kerjaschki Austria
Laurence A. Turka United States
Terrill K. McClanahan United States
Crystal L. Mackall United States
René E. M. Toes Netherlands
Chikao Morimoto United States
Udai S. Kammula United States
Kohzoh Imai Japan
Taku Okazaki relative to Nagahiro Minato Japan Nagahiro Minato's profile →
Citations per field
00.5×8.5×
Nagahiro Minato · 1×
Citations per year

Countries citing papers authored by Taku Okazaki

Since Specialization
Citations

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

Fields of papers citing papers by Taku Okazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taku Okazaki, 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 Taku Okazaki Line = papers co-authored together Taku Okazaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engagement of the Pd-1 Immunoinhibitory Receptor by a Novel B7 Family Member Leads to Negative Regulation of Lymphocyte Activation
Hit paper breakdown →
20004158
2
Involvement of PD-L1 on tumor cells in the escape from host immune system and tumor immunotherapy by PD-L1 blockade
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20022441
3
Autoimmune Dilated Cardiomyopathy in PD-1 Receptor-Deficient Mice
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20011467
4
Programmed cell death 1 ligand 1 and tumor-infiltrating CD8 + T lymphocytes are prognostic factors of human ovarian cancer
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20071155
5
PD-1 and PD-1 ligands: from discovery to clinical application
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20071014
6
A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application
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2013713
7
PD-1 immunoreceptor inhibits B cell receptor-mediated signaling by recruiting src homology 2-domain-containing tyrosine phosphatase 2 to phosphotyrosine
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2001676
8
The PD-1–PD-L pathway in immunological tolerance
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2006581
9
Autoantibodies against cardiac troponin I are responsible for dilated cardiomyopathy in PD-1-deficient mice
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2003544
10
Tumor cell expression of programmed cell death‐1 ligand 1 is a prognostic factor for malignant melanoma
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2010537
11
Resting dendritic cells induce peripheral CD8+ T cell tolerance through PD-1 and CTLA-4
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2005432
12 1995387
13
Establishment of NOD-Pdcd1-/-mice as an efficient animal model of type I diabetes
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2005365
14
The PD-1/PD-L1 complex resembles the antigen-binding Fv domains of antibodies and T cell receptors
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2008353
15 2020316
16 2003308
17 2019285
18
IFN-α Directly Promotes Programmed Cell Death-1 Transcription and Limits the Duration of T Cell-Mediated Immunity
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2011278
19 2010261
20
PD-1 and LAG-3 inhibitory co-receptors act synergistically to prevent autoimmunity in mice
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2011255

About Taku Okazaki

Taku Okazaki is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Physiology, having authored 70 papers that have together received 20.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), Cancer Immunotherapy and Biomarkers (35 papers), T-cell and B-cell Immunology (22 papers), Immunotherapy and Immune Responses (17 papers), CAR-T cell therapy research (13 papers), Diabetes and associated disorders (7 papers), Adipose Tissue and Metabolism (4 papers) and Liver Diseases and Immunity (4 papers). The work is most often cited by research in Immunology (11.9k citations), Oncology (12.4k citations), Endocrine and Autonomic Systems (872 citations), Hepatology (524 citations) and Pulmonary and Respiratory Medicine (1.8k citations). Taku Okazaki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Tasuku Honjo, Yoshiko Iwai, Yoshimasa Tanaka, Nagahiro Minato, Hiroyuki Nishimura, T Honjo, Masayoshi Ishida, Hiroshi Hiai, Il‐mi Okazaki and Daisuke Sugiura. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Immunology, The Journal of Experimental Medicine, Nature Immunology 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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