Mari Mito

2.3k total citations
35 papers, 1.5k citations indexed

About

Mari Mito is a scholar working on Molecular Biology, Cancer Research and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mari Mito has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mari Mito's work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (14 papers) and RNA modifications and cancer (11 papers). Mari Mito is often cited by papers focused on RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (14 papers) and RNA modifications and cancer (11 papers). Mari Mito collaborates with scholars based in Japan, United States and Australia. Mari Mito's co-authors include Shinichi Nakagawa, Shintaro Iwasaki, Tetsuro Hirose, Kaori Yanaka, Yuichi Shichino, Satoshi Ishido, Mari Ohmura‐Hoshino, Yohei Matsuki, Masami Aoki and Eiji Gotō and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mari Mito

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mari Mito Japan	16	1.2k	389	193	98	94	35	1.5k
Alexandre Akoulitchev United Kingdom	16	1.3k 1.1×	552 1.4×	129 0.7×	87 0.9×	78 0.8×	35	1.6k
Vedran Franke Germany	20	1.5k 1.2×	259 0.7×	153 0.8×	194 2.0×	52 0.6×	32	1.7k
John LaCava United States	21	2.2k 1.8×	194 0.5×	156 0.8×	109 1.1×	100 1.1×	49	2.5k
Xialu Li United States	10	1.5k 1.2×	252 0.6×	141 0.7×	149 1.5×	112 1.2×	11	1.6k
Cyril F. Bourgeois France	26	2.0k 1.6×	228 0.6×	242 1.3×	190 1.9×	103 1.1×	39	2.3k
David Baillat United States	18	1.7k 1.4×	500 1.3×	118 0.6×	163 1.7×	129 1.4×	24	2.0k
Paul L. Boutz United States	14	2.1k 1.7×	415 1.1×	281 1.5×	91 0.9×	123 1.3×	18	2.4k
Olivia S. Rissland United States	18	2.2k 1.8×	592 1.5×	98 0.5×	167 1.7×	181 1.9×	34	2.5k
Mark Stoneley United Kingdom	23	2.3k 1.9×	337 0.9×	177 0.9×	147 1.5×	229 2.4×	28	2.6k

Countries citing papers authored by Mari Mito

Since Specialization

Citations

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

Fields of papers citing papers by Mari Mito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Mito

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

All Works

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20 of 20 papers shown

Okubo, Chikako, Michiko Nakamura, Masae Sato, et al.. (2025). EIF3D safeguards the homeostasis of key signaling pathways in human primed pluripotency. Science Advances. 11(15). eadq5484–eadq5484.

Mito, Mari, Kazuhito Tomizawa, Takeshi Chujo, et al.. (2025). Monitoring the complexity and dynamics of mitochondrial translation. Molecular Cell. 85(22). 4279–4297.e8.

Mito, Mari, Takahito Miyake, Masao Doi, et al.. (2024). Calibrated ribosome profiling assesses the dynamics of ribosomal flux on transcripts. Nature Communications. 15(1). 7061–7061. 8 indexed citations

Shichino, Yuichi, Mari Mito, Toshifumi Inada, et al.. (2024). Translation of zinc finger domains induces ribosome collision and Znf598-dependent mRNA decay in zebrafish. PLoS Biology. 22(12). e3002887–e3002887. 3 indexed citations

Ichinose, Toshiharu, Shu Kondo, Yuichi Shichino, et al.. (2024). Translational regulation enhances distinction of cell types in the nervous system. eLife. 12. 1 indexed citations

Okamatsu‐Ogura, Yuko, Saori Yokoi, Mari Mito, et al.. (2024). The essential role of architectural noncoding RNANeat1in cold-induced beige adipocyte differentiation in mice. RNA. 30(8). 1011–1024. 4 indexed citations

Zhao, Xuewei, Ding Ma, Kensuke Ishiguro, et al.. (2023). Glycosylated queuosines in tRNAs optimize translational rate and post-embryonic growth. Cell. 186(25). 5517–5535.e24. 40 indexed citations

Shichino, Yuichi, Kazuki Fujii, Mayumi Adachi, et al.. (2023). ILF3 prion-like domain regulates gene expression and fear memory under chronic stress. iScience. 26(3). 106229–106229. 3 indexed citations

Kumakura, Naoyoshi, Hironori Saito, Ryan Muller, et al.. (2023). A parasitic fungus employs mutated eIF4A to survive on rocaglate-synthesizing Aglaia plants. eLife. 12. 13 indexed citations

10.

Mito, Mari, Shintaro Iwasaki, Satoshi Kurosaka, et al.. (2022). Species-specific formation of paraspeckles in intestinal epithelium revealed by characterization of NEAT1 in naked mole-rat. RNA. 28(8). 1128–1143. 7 indexed citations

11.

Kashiwagi, Kazuhiro, Yuichi Shichino, Tatsuya Osaki, et al.. (2021). eIF2B-capturing viral protein NSs suppresses the integrated stress response. Nature Communications. 12(1). 7102–7102. 27 indexed citations

12.

Chen, Mingming, Miwako Asanuma, Mari Takahashi, et al.. (2020). Dual targeting of DDX3 and eIF4A by the translation inhibitor rocaglamide A. Cell chemical biology. 28(4). 475–486.e8. 45 indexed citations

13.

Suzuki, Takeo, Yuka Yashiro, Yuma Ishigami, et al.. (2020). Complete chemical structures of human mitochondrial tRNAs. Nature Communications. 11(1). 4269–4269. 183 indexed citations

14.

Shichino, Yuichi, Tilman Schneider‐Poetsch, Mari Mito, et al.. (2020). Genome-wide Survey of Ribosome Collision. Cell Reports. 31(5). 107610–107610. 120 indexed citations

15.

Mito, Mari, Mitsutaka Kadota, Shinichi Nakagawa, & Shintaro Iwasaki. (2019). TChIP-Seq: Cell-Type-Specific Epigenome Profiling. Journal of Visualized Experiments. 1 indexed citations

16.

Adriaens, Carmen, Florian Rambow, Greet Bervoets, et al.. (2019). The long noncoding RNA NEAT1_1 is seemingly dispensable for normal tissue homeostasis and cancer cell growth. RNA. 25(12). 1681–1695. 33 indexed citations

17.

Yokoi, Saori, et al.. (2018). UPA-seq: prediction of functional lncRNAs using differential sensitivity to UV crosslinking. RNA. 24(12). 1785–1802. 6 indexed citations

18.

Mito, Mari, Mitsutaka Kadota, Kaori Tanaka, et al.. (2018). Cell Type-Specific Survey of Epigenetic Modifications by Tandem Chromatin Immunoprecipitation Sequencing. Scientific Reports. 8(1). 1143–1143. 3 indexed citations

19.

Ohmura‐Hoshino, Mari, Yohei Matsuki, Masami Aoki, et al.. (2006). Inhibition of MHC Class II Expression and Immune Responses by c-MIR. The Journal of Immunology. 177(1). 341–354. 115 indexed citations

20.

Inagaki, Masaru, K. Ogawa, & Mari Mito. (1992). Retroviral-mediated gene transfer to neonatal rat hepatocytes and intrasplenic transplantation of the transduced hepatocytes.. PubMed. 24(6). 2969–70. 2 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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