Mitsuyoshi Motizuki

1.7k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Mitsuyoshi Motizuki is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Mitsuyoshi Motizuki has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Mitsuyoshi Motizuki's work include Fungal and yeast genetics research (7 papers), TGF-β signaling in diseases (5 papers) and Cancer-related gene regulation (3 papers). Mitsuyoshi Motizuki is often cited by papers focused on Fungal and yeast genetics research (7 papers), TGF-β signaling in diseases (5 papers) and Cancer-related gene regulation (3 papers). Mitsuyoshi Motizuki collaborates with scholars based in Japan, China and France. Mitsuyoshi Motizuki's co-authors include Kunio Tsurugi, Kazuhiro Mitsui, Yaeta Endo, Keiji Miyazawa, Masao Saitoh, Sadaki Yokota, Kei Sakamoto, Hiroki Ishii, Shota Tanaka and Ryohei Katoh and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Mitsuyoshi Motizuki

26 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The mechanism of action of ricin and related toxic lectins on eukaryotic ribosomes. The site and the characteristics of the modification in 28 S ribosomal RNA caused by the toxins.

1987 974 citations Yaeta Endo, Kazuhiro Mitsui et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitsuyoshi Motizuki Japan	12	897	709	656	212	87	26	1.4k
Anton Glück United States	15	534 0.6×	765 1.1×	214 0.3×	137 0.6×	70 0.8×	23	1.1k
Robert A. Spooner United Kingdom	22	664 0.7×	794 1.1×	527 0.8×	108 0.5×	16 0.2×	40	1.5k
Terrance A. Stadheim United States	25	229 0.3×	1.8k 2.6×	475 0.7×	71 0.3×	82 0.9×	38	2.2k
Leon Eidels United States	22	865 1.0×	720 1.0×	478 0.7×	45 0.2×	32 0.4×	44	1.6k
David M. Schlossman United States	13	375 0.4×	1.3k 1.8×	183 0.3×	54 0.3×	23 0.3×	18	1.7k
Paul A. Colussi United States	20	292 0.3×	1.5k 2.1×	113 0.2×	104 0.5×	42 0.5×	28	1.8k
Neelam Sharma United States	17	241 0.3×	450 0.6×	106 0.2×	133 0.6×	79 0.9×	31	824
Antonio Jiménez Spain	19	95 0.1×	1.1k 1.6×	178 0.3×	183 0.9×	35 0.4×	39	1.5k
Jean H. Overmeyer United States	20	142 0.2×	941 1.3×	64 0.1×	267 1.3×	98 1.1×	28	1.8k
Makuta Nsimba‐Lubaki Belgium	9	450 0.5×	838 1.2×	100 0.2×	167 0.8×	11 0.1×	10	1.1k

Countries citing papers authored by Mitsuyoshi Motizuki

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuyoshi Motizuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuyoshi Motizuki

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyoshi Motizuki. A scholar is included among the top collaborators of Mitsuyoshi Motizuki 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 Mitsuyoshi Motizuki. Mitsuyoshi Motizuki 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

Motizuki, Mitsuyoshi, Takashi Yokoyama, Masao Saitoh, & Keiji Miyazawa. (2023). The Snail signaling branch downstream of the TGF-β/Smad3 pathway mediates Rho activation and subsequent stress fiber formation. Journal of Biological Chemistry. 300(1). 105580–105580. 7 indexed citations

Motizuki, Mitsuyoshi, Daizo Koinuma, Takashi Yokoyama, et al.. (2021). TGF-β-induced cell motility requires downregulation of ARHGAPs to sustain Rac1 activity. Journal of Biological Chemistry. 296. 100545–100545. 8 indexed citations

Nakano, Naoko, Nobuo Sakata, Saori Yamaguchi, et al.. (2020). Dissociation of the AhR/ARNT complex by TGF-β/Smad signaling represses CYP1A1 gene expression and inhibits benze[a]pyrene-mediated cytotoxicity. Journal of Biological Chemistry. 295(27). 9033–9051. 28 indexed citations

Motizuki, Mitsuyoshi, Masao Saitoh, & Keiji Miyazawa. (2015). Maid is a negative regulator of transforming growth factor-β-induced cell migration. The Journal of Biochemistry. 158(5). 435–444. 7 indexed citations

Ishii, Hiroki, Masao Saitoh, Kei Sakamoto, et al.. (2014). Epithelial Splicing Regulatory Proteins 1 (ESRP1) and 2 (ESRP2) Suppress Cancer Cell Motility via Different Mechanisms. Journal of Biological Chemistry. 289(40). 27386–27399. 123 indexed citations

Motizuki, Mitsuyoshi, Kazunobu Isogaya, Kunio Miyake, et al.. (2013). Oligodendrocyte Transcription Factor 1 (Olig1) Is a Smad Cofactor Involved in Cell Motility Induced by Transforming Growth Factor-β. Journal of Biological Chemistry. 288(26). 18911–18922. 23 indexed citations

Ouyang, Yuhui, et al.. (2011). PSK2 coordinates glucose metabolism and utilization to maintain Ultradian clock-coupled respiratory oscillation in Saccharomyces cerevisiae yeast. Archives of Biochemistry and Biophysics. 509(1). 52–58. 4 indexed citations

Ouyang, Yuhui, et al.. (2009). Human trehalase is a stress responsive protein in Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 379(2). 621–625. 18 indexed citations

Motizuki, Mitsuyoshi & Zhaojun Xu. (2009). Importance of Polarisome Proteins in Reorganization of Actin Cytoskeleton at Low pH in Saccharomyces cerevisiae. The Journal of Biochemistry. 146(5). 705–712. 5 indexed citations

10.

Motizuki, Mitsuyoshi, Sadaki Yokota, & Kunio Tsurugi. (2007). Effect of low pH on organization of the actin cytoskeleton in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - General Subjects. 1780(2). 179–184. 11 indexed citations

11.

Motizuki, Mitsuyoshi. (2004). Low pH Facilitates Uptake of Proteins by Cells through a Non-Endocytic Pathway. The Journal of Biochemistry. 135(6). 713–719. 4 indexed citations

12.

Motizuki, Mitsuyoshi, Toshifumi Satoh, Toshiaki Takei, et al.. (2002). Structure-Activity Analysis of an Antimicrobial Peptide Derived from Bovine Apolipoprotein A-II. The Journal of Biochemistry. 132(1). 115–119. 5 indexed citations

13.

Xu, Zhaojun, et al.. (1999). The DLP1 mutant of the yeast Saccharomyces cerevisiae with an increased copy number of the 2μ plasmid shows a shortened lifespan. Mechanisms of Ageing and Development. 110(1-2). 119–129. 3 indexed citations

14.

Motizuki, Mitsuyoshi, Sadaki Yokota, Muneo Yamada, et al.. (1999). Lipid-binding and antimicrobial properties of synthetic peptides of bovine apolipoprotein A-II. Biochemical Journal. 342(1). 215–215. 5 indexed citations

15.

Motizuki, Mitsuyoshi, T. Itoh, Muneo Yamada, Seiichi Shimamura, & Kunio Tsurugi. (1998). Purification, Primary Structure, and Antimicrobial Activities of Bovine Apolipoprotein A-II. The Journal of Biochemistry. 123(4). 675–679. 15 indexed citations

16.

Motizuki, Mitsuyoshi & Kunio Tsurugi. (1992). Effect of 17β-estradiol on the generation time of old cells of the yeast Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 183(3). 1191–1196. 5 indexed citations

17.

Shiokawa, Koichiro, Kosuke Tashiro, Kunio Tsurugi, et al.. (1989). Persistence and expression of circular DNAs encoding Drosophila amylase, bacterial chloramphenicol acetyltransferase, and others in Xenopus laevis enbryos.. Cell Structure and Function. 14(2). 261–269. 7 indexed citations

18.

Tsurugi, Kunio, Mitsuyoshi Motizuki, Kazuhiro Mitsui, Yaeta Endo, & Koichiro Shiokawa. (1988). The metabolism of ribosomal proteins microinjected into the oocytes of Xenopus laevis. Experimental Cell Research. 174(1). 177–187. 7 indexed citations

19.

Motizuki, Mitsuyoshi, Hideki Kohno, & Kunio Tsurugi. (1988). A Study on the Identities of the Three Species of Chromatin-Associated Proteinases in a Mutant ofSaccharomyces cerevisiae Which Lacks Four Major Vacuolar Proteinases. The Journal of Biochemistry. 104(2). 192–195. 3 indexed citations

20.

Endo, Yaeta, Kazuhiro Mitsui, Mitsuyoshi Motizuki, & Kunio Tsurugi. (1987). The mechanism of action of ricin and related toxic lectins on eukaryotic ribosomes. The site and the characteristics of the modification in 28 S ribosomal RNA caused by the toxins.. Journal of Biological Chemistry. 262(12). 5908–5912. 974 indexed citations breakdown →

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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