Mariko Okada

9.4k total citations
119 papers, 2.4k citations indexed

About

Mariko Okada is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mariko Okada has authored 119 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 25 papers in Immunology and 22 papers in Cancer Research. Recurrent topics in Mariko Okada's work include Gene Regulatory Network Analysis (31 papers), Bioinformatics and Genomic Networks (24 papers) and RNA Research and Splicing (16 papers). Mariko Okada is often cited by papers focused on Gene Regulatory Network Analysis (31 papers), Bioinformatics and Genomic Networks (24 papers) and RNA Research and Splicing (16 papers). Mariko Okada collaborates with scholars based in Japan, United States and Ireland. Mariko Okada's co-authors include Takeshi Nagashima, Noriko Yumoto, Yuko Saeki, Shuhei Kimura, Kentaro Inoue, Katsuhiko Shirahige, Toshitada Takemori, Tomohiro Kaji, Osamu Ohara and Yoshimasa Takahashi and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mariko Okada

108 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mariko Okada Japan 25 1.3k 746 461 263 140 119 2.4k
Sol Efroni Israel 27 1.7k 1.3× 628 0.8× 419 0.9× 371 1.4× 208 1.5× 76 2.8k
Oussema Souiai Tunisia 7 1.7k 1.3× 279 0.4× 508 1.1× 300 1.1× 217 1.6× 10 2.6k
Slimane Ben Miled Tunisia 8 1.7k 1.3× 279 0.4× 501 1.1× 301 1.1× 231 1.6× 40 2.7k
Marc Jacobs United States 26 1.6k 1.3× 409 0.5× 325 0.7× 269 1.0× 128 0.9× 64 2.6k
Peng Qiu China 13 1.4k 1.1× 627 0.8× 214 0.5× 396 1.5× 160 1.1× 55 2.4k
Younghee Lee United States 23 1.0k 0.8× 518 0.7× 369 0.8× 629 2.4× 141 1.0× 93 2.4k
Fatma Z. Guerfali Tunisia 9 2.1k 1.6× 785 1.1× 607 1.3× 377 1.4× 242 1.7× 27 3.8k
Michael Hecker Germany 27 1.2k 0.9× 378 0.5× 365 0.8× 238 0.9× 78 0.6× 76 2.2k
Peng Qiu United States 23 1.8k 1.4× 554 0.7× 246 0.5× 319 1.2× 226 1.6× 92 2.7k
Zhi‐Ping Liu China 23 1.6k 1.2× 344 0.5× 435 0.9× 126 0.5× 182 1.3× 87 2.6k

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-authorship network of co-authors of Mariko Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Okada. A scholar is included among the top collaborators of Mariko Okada 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 Mariko Okada. Mariko Okada 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
1.
Izumi, Yoshihiro, Masatomo Takahashi, Yasutaka Motomura, et al.. (2024). NF κ B dynamics‐dependent epigenetic changes modulate inflammatory gene expression and induce cellular senescence. FEBS Journal. 291(22). 4951–4968. 1 indexed citations
2.
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Okada, Mariko, et al.. (2024). Extending BioMASS to construct mathematical models from external knowledge. Bioinformatics Advances. 4(1). vbae042–vbae042.
4.
Tsutsui, Masato & Mariko Okada. (2024). DynProfiler: a Python package for comprehensive analysis and interpretation of signaling dynamics leveraged by deep learning techniques. Bioinformatics Advances. 4(1). vbae145–vbae145.
5.
Rauch, Nora, Leonidas G. Alexopoulos, Jens Rauch, et al.. (2023). A Combination of Conformation-Specific RAF Inhibitors Overcome Drug Resistance Brought about by RAF Overexpression. Biomolecules. 13(8). 1212–1212. 5 indexed citations
6.
Taniue, Kenzui, Tomoatsu Hayashi, Yasuko Takeda, et al.. (2023). LncRNA ZNNT1 induces p53 degradation by interfering with the interaction between p53 and the SART3-USP15 complex. PNAS Nexus. 2(7). pgad220–pgad220. 4 indexed citations
7.
Murakami, Ken, et al.. (2022). Protocol for stratification of triple-negative breast cancer patients using in silico signaling dynamics. STAR Protocols. 3(3). 101619–101619.
8.
Kondo, Jumpei, et al.. (2022). ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes. Bioinformatics. 38(18). 4330–4336. 5 indexed citations
9.
Zhang, Suxiang, et al.. (2021). Cell shape‐based chemical screening reveals an epigenetic network mediated by focal adhesions. FEBS Journal. 288(19). 5613–5628. 1 indexed citations
10.
Kimura, Shuhei, et al.. (2016). Genetic Network Inference Using Hierarchical Structure. Frontiers in Physiology. 7. 57–57. 5 indexed citations
11.
Mina, Marco, Giuseppe Jurman, Masayoshi Itoh, et al.. (2015). Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells. Scientific Reports. 5(1). 11999–11999. 23 indexed citations
12.
Aitken, Stuart, Ahmad M. N. Alhendi, Masayoshi Itoh, et al.. (2015). Transcriptional Dynamics Reveal Critical Roles for Non-coding RNAs in the Immediate-Early Response. PLoS Computational Biology. 11(4). e1004217–e1004217. 46 indexed citations
13.
Carbajo, Daniel, Masayoshi Itoh, Hideya Kawaji, et al.. (2015). Application of Gene Expression Trajectories Initiated from ErbB Receptor Activation Highlights the Dynamics of Divergent Promoter Usage. PLoS ONE. 10(12). e0144176–e0144176. 22 indexed citations
14.
Nakakuki, Takashi, Marc R. Birtwistle, Yuko Saeki, et al.. (2010). Ligand-Specific c-Fos Expression Emerges from the Spatiotemporal Control of ErbB Network Dynamics. Cell. 141(5). 884–896. 181 indexed citations
15.
Saeki, Yuko, Takaho A. Endo, Kaori Ide, et al.. (2009). Ligand-specific sequential regulation of transcription factors for differentiation of MCF-7 cells. BMC Genomics. 10(1). 545–545. 39 indexed citations
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Okada, Mariko, et al.. (1992). Cytotoxicity of activated platelets to autologous red blood cells. British Journal of Haematology. 82(1). 142–150. 9 indexed citations
19.
Kodama, T., et al.. (1990). Human Platelets Effectively Kill K‐562 Cells, a Chronic Myelogenic Leukemia Cell Line, in vitro. Japanese Journal of Cancer Research. 81(5). 449–453. 9 indexed citations
20.
Okada, Mariko & S Utsumi. (1989). Role for the third constant domain of the IgG H chain in activation of complement in the presence of C1 inhibitor.. The Journal of Immunology. 142(1). 195–201. 10 indexed citations

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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Breakdown of academic impact, for papers by Sol Efroni Breakdown of academic impact, for papers by Oussema Souiai Breakdown of academic impact, for papers by Slimane Ben Miled Breakdown of academic impact, for papers by Marc Jacobs Breakdown of academic impact, for papers by Peng Qiu Breakdown of academic impact, for papers by Younghee Lee Breakdown of academic impact, for papers by Fatma Z. Guerfali Breakdown of academic impact, for papers by Michael Hecker Breakdown of academic impact, for papers by Peng Qiu Breakdown of academic impact, for papers by Zhi‐Ping Liu
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