Kojiro Takeda

651 total citations
19 papers, 526 citations indexed

About

Kojiro Takeda is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kojiro Takeda has authored 19 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Kojiro Takeda's work include Fungal and yeast genetics research (8 papers), Ubiquitin and proteasome pathways (5 papers) and Amino Acid Enzymes and Metabolism (2 papers). Kojiro Takeda is often cited by papers focused on Fungal and yeast genetics research (8 papers), Ubiquitin and proteasome pathways (5 papers) and Amino Acid Enzymes and Metabolism (2 papers). Kojiro Takeda collaborates with scholars based in Japan, United States and France. Kojiro Takeda's co-authors include Mitsuhiro Yanagida, Tomoko Yoshida, Takahiro Nakamura, Takeshi Hayashi, Alejandro Villar‐Briones, Wei Liu, Masashi Kato, Hitoshi Suzuki, Masataka Itoigawa and Anwarul Azim Akhand and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kojiro Takeda

19 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kojiro Takeda Japan 12 452 151 69 67 38 19 526
Jane E. Leadsham United Kingdom 9 327 0.7× 100 0.7× 42 0.6× 59 0.9× 45 1.2× 9 442
Kentaro Kajiwara Japan 14 555 1.2× 308 2.0× 62 0.9× 79 1.2× 12 0.3× 26 731
Vanessa Palermo Italy 13 491 1.1× 66 0.4× 63 0.9× 42 0.6× 56 1.5× 22 578
Aneta Kaniak Poland 13 550 1.2× 75 0.5× 54 0.8× 35 0.5× 17 0.4× 20 594
Jin-ying Lu United States 7 526 1.2× 54 0.4× 54 0.8× 61 0.9× 65 1.7× 7 616
Ariel Stanhill Israel 14 585 1.3× 241 1.6× 47 0.7× 151 2.3× 66 1.7× 18 678
Dina Balderes United States 15 680 1.5× 92 0.6× 107 1.6× 57 0.9× 42 1.1× 15 893
Patrycja A. Krawczyk United Kingdom 7 461 1.0× 109 0.7× 19 0.3× 99 1.5× 35 0.9× 8 697
Sevan Mattie Canada 9 755 1.7× 138 0.9× 34 0.5× 195 2.9× 50 1.3× 11 871
Nabil Matmati United States 16 591 1.3× 256 1.7× 76 1.1× 81 1.2× 23 0.6× 29 701

Countries citing papers authored by Kojiro Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Kojiro Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kojiro Takeda

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

All Works

19 of 19 papers shown
1.
Nishimura, Tomoki, et al.. (2024). The putative polyamine transporter Shp2 facilitates phosphate export in an Xpr1-independent manner and contributes to high phosphate tolerance. Journal of Biological Chemistry. 301(1). 108056–108056. 2 indexed citations
2.
Nishimura, Tomoki, et al.. (2023). Phosphate uptake restriction, phosphate export, and polyphosphate synthesis contribute synergistically to cellular proliferation and survival. Journal of Biological Chemistry. 299(12). 105454–105454. 8 indexed citations
3.
Sawada, Naoya, et al.. (2021). Regulation of inorganic polyphosphate is required for proper vacuolar proteolysis in fission yeast. Journal of Biological Chemistry. 297(1). 100891–100891. 9 indexed citations
4.
Watanabe, Daisuke, Yan Zhou, Jiawen Chen, et al.. (2018). Nutrient Signaling via the TORC1-Greatwall-PP2A B55δ Pathway Is Responsible for the High Initial Rates of Alcoholic Fermentation in Sake Yeast Strains of Saccharomyces cerevisiae. Applied and Environmental Microbiology. 85(1). 16 indexed citations
5.
Watanabe, Yo‐hei, et al.. (2018). The fission yeast Greatwall–Endosulfine pathway is required for proper quiescence/G0 phase entry and maintenance. Genes to Cells. 24(2). 172–186. 7 indexed citations
6.
Masuda, Fumie, et al.. (2016). Glucose restriction induces transient G2 cell cycle arrest extending cellular chronological lifespan. Scientific Reports. 6(1). 19629–19629. 25 indexed citations
7.
8.
Takeda, Kojiro, et al.. (2015). The critical glucose concentration for respiration-independent proliferation of fission yeast, Schizosaccharomyces pombe. Mitochondrion. 22. 91–95. 27 indexed citations
9.
Ishii, Kojiro, et al.. (2014). The 19S proteasome subunit Rpt3 regulates distribution of CENP-A by associating with centromeric chromatin. Nature Communications. 5(1). 3597–3597. 20 indexed citations
10.
Kusakabe, Takehiro, Daiske Honda, Yo‐hei Watanabe, et al.. (2013). Determination of D-Serine in Several Model Organisms Used for Metabolic, Developmental and/ or Genetic Researches by Liquid Chromatography/ Fluorescence Detection and Tandem Mass Spectrometry. Medical Entomology and Zoology. 60(1). 11–19. 2 indexed citations
11.
Takeda, Kojiro, et al.. (2011). Identification of Genes Affecting the Toxicity of Anti-Cancer Drug Bortezomib by Genome-Wide Screening in S. pombe. PLoS ONE. 6(7). e22021–e22021. 30 indexed citations
12.
13.
Takeda, Kojiro, Nam K. Tonthat, Weijun Xu, et al.. (2011). Implications for proteasome nuclear localization revealed by the structure of the nuclear proteasome tether protein Cut8. Proceedings of the National Academy of Sciences. 108(41). 16950–16955. 25 indexed citations
14.
Takeda, Kojiro, Tomoko Yoshida, Koji Nagao, et al.. (2010). Synergistic roles of the proteasome and autophagy for mitochondrial maintenance and chronological lifespan in fission yeast. Proceedings of the National Academy of Sciences. 107(8). 3540–3545. 72 indexed citations
15.
Takeda, Kojiro & Mitsuhiro Yanagida. (2010). In quiescence of fission yeast, autophagy and the proteasome collaborate for mitochondrial maintenance and longevity. Autophagy. 6(4). 564–565. 21 indexed citations
16.
Nakamura, Takahiro, Kojiro Takeda, Mizuki Shimanuki, et al.. (2009). Genetic control of cellular quiescence in S. pombe. Journal of Cell Science. 122(9). 1418–1429. 76 indexed citations
17.
Daher, Wassim, Katia Cailliau, Kojiro Takeda, et al.. (2006). Characterization of Schistosoma mansoni Sds homologue, a leucine-rich repeat protein that interacts with protein phosphatase type 1 and interrupts a G2/M cell-cycle checkpoint. Biochemical Journal. 395(2). 433–441. 11 indexed citations
18.
Takeda, Kojiro & Mitsuhiro Yanagida. (2005). Regulation of Nuclear Proteasome by Rhp6/Ubc2 through Ubiquitination and Destruction of the Sensor and Anchor Cut8. Cell. 122(3). 393–405. 71 indexed citations
19.
Liu, Wei, Anwarul Azim Akhand, Kojiro Takeda, et al.. (2003). Protein phosphatase 2A-linked and -unlinked caspase-dependent pathways for downregulation of Akt kinase triggered by 4-hydroxynonenal. Cell Death and Differentiation. 10(7). 772–781. 79 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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