Mariko Okada

9.5k citations
119 papers · 2.4k · h-index 26

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer-related molecular mechanisms research

Papers in

    • Gene Regulatory Network Analysis 31
    • Bioinformatics and Genomic Networks 21
    • RNA Research and Splicing 16
    • Gene expression and cancer classification 11
    • Genomics and Chromatin Dynamics 10
    • RNA modifications and cancer 8
    • T-cell and B-cell Immunology 10

Mariko Okada

111 papers receiving 2.4k citations

Peers

Mariko Okada
Comparison fields: 5 of 132
  • Immunology 722
  • Cancer Research 425
  • Molecular Biology 1.2k
  • Aging 21
  • Biophysics 60
Replace Pawel Paszek with:
Pawel Paszek United Kingdom
Cecilia Lindskog Sweden
Saurabh Saha United States
Olivier Harismendy United States
Zhi‐Ping Liu China
Julio Vera Germany
Keren Bahar Halpern Israel
Keunsoo Kang South Korea
Sol Efroni Israel
Adam A. Margolin United States
Mariko Okada relative to Pawel Paszek United Kingdom Pawel Paszek's profile →
Citations per field
00.5×1.5×2.1×
Pawel Paszek · 1×
Citations per year

Countries citing papers authored by Mariko Okada

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2010183
3 2015145
4 2016128
5 2016113
6 2016104
7 201174
8 201473
9 201362
10 201862
11 202057
12 201656
13 201853
14 197748
15 201547
16 201642
17 198042
18 200940
19 201938
20 201036

About Mariko Okada

Mariko Okada is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Physiology, having authored 119 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (31 papers), Bioinformatics and Genomic Networks (21 papers), RNA Research and Splicing (16 papers), Gene expression and cancer classification (11 papers), T-cell and B-cell Immunology (10 papers), Genomics and Chromatin Dynamics (10 papers), NF-κB Signaling Pathways (9 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Immunology (722 citations), Cancer Research (425 citations), Molecular Biology (1.2k citations), Aging (21 citations) and Biophysics (60 citations). Mariko Okada has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Takeshi Nagashima, Noriko Yumoto, Yuko Saeki, Shuhei Kimura, Kentaro Inoue, Katsuhiko Shirahige, Tomohiro Kaji, Toshitada Takemori, Yoshimasa Takahashi and Osamu Ohara. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Bioinformatics, The Journal of Immunology and FEBS Journal.

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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