Satoshi Okada

20.8k citations
212 papers · 3.8k · h-index 33

Impact in

  • Immunology top 2%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immunodeficiency and Autoimmune Disorders 58
    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 8

Satoshi Okada

191 papers receiving 3.7k citations

Peers

Satoshi Okada
Comparison fields: 5 of 140
  • Immunology 1.4k
  • Biological Psychiatry 84
  • Microbiology 199
  • Epidemiology 814
  • Genetics 634
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Barbara Detrick United States
A Tarkowski Sweden
J. Vidya Sarma United States
Karen V. Swanson United States
Shohreh Amini United States
Firas S. Zetoune United States
Daniela Novick Israel
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C A Dinarello United States
Toshiro Hara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Satoshi Okada

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2 2018130
3 2003122
4 2001120
5 2000108
6 2016108
7 2003102
8 202089
9 200082
10 201473
11 201572
12 201771
13 201366
14 201564
15 201763
16 198559
17 200857
18 201756
19 198755
20 200950

About Satoshi Okada

Satoshi Okada is a scholar working on Immunology, Molecular Biology, Genetics, Epidemiology and Pulmonary and Respiratory Medicine, having authored 212 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (58 papers), Blood disorders and treatments (27 papers), Immune Cell Function and Interaction (13 papers), Metabolism and Genetic Disorders (12 papers), Mycobacterium research and diagnosis (11 papers), T-cell and B-cell Immunology (8 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Tracheal and airway disorders (6 papers). The work is most often cited by research in Immunology (1.4k citations), Biological Psychiatry (84 citations), Microbiology (199 citations), Epidemiology (814 citations) and Genetics (634 citations). Satoshi Okada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masao Kobayashi, Jean‐Laurent Casanova, Anne Puel, Stéphanie Boisson‐Dupuis, Alan M. Krensky, Carol Clayberger, Miyuki Tsumura, Xiao‐Fei Kong, Yoko Mizoguchi and Frederick W. Miller. Their work appears in journals such as Journal of Clinical Immunology, Frontiers in Immunology, International Journal of Hematology, The Journal of Immunology and Clinical & Experimental 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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