Takao Kuroda

1.5k total citations
18 papers, 1.2k citations indexed

About

Takao Kuroda is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Takao Kuroda has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Genetics. Recurrent topics in Takao Kuroda's work include Pluripotent Stem Cells Research (6 papers), Cancer-related Molecular Pathways (6 papers) and RNA modifications and cancer (4 papers). Takao Kuroda is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Cancer-related Molecular Pathways (6 papers) and RNA modifications and cancer (4 papers). Takao Kuroda collaborates with scholars based in Japan, Panama and India. Takao Kuroda's co-authors include Keiji Kimura, Takashi Tada, Masako Tada, Hirofumi Suemori, Hironobu Kimura, Norio Nakatsuji, Hiroshi Kubota, Junn Yanagisawa, Akiko Murayama and Naohiro Katagiri and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Takao Kuroda

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takao Kuroda Japan 13 1.0k 169 163 104 95 18 1.2k
Jiyung Shin United States 10 997 1.0× 93 0.6× 129 0.8× 82 0.8× 220 2.3× 11 1.4k
Chenghao Xuan China 18 887 0.9× 177 1.0× 152 0.9× 222 2.1× 37 0.4× 35 1.1k
Ulrike Hardeland Switzerland 11 1.5k 1.4× 261 1.5× 258 1.6× 168 1.6× 40 0.4× 13 1.6k
Craig Eyster United States 13 555 0.5× 55 0.3× 58 0.4× 71 0.7× 116 1.2× 21 766
Atsuya Nishiyama Japan 16 1.4k 1.3× 200 1.2× 242 1.5× 242 2.3× 86 0.9× 29 1.6k
Luis M. Criado Spain 13 676 0.7× 336 2.0× 83 0.5× 143 1.4× 207 2.2× 18 1.0k
Matthew A. McBrian United States 5 711 0.7× 103 0.6× 100 0.6× 149 1.4× 45 0.5× 5 833
Paolo Mita United States 19 1.1k 1.0× 85 0.5× 109 0.7× 111 1.1× 71 0.7× 27 1.3k
Julia Tischler Austria 9 881 0.8× 124 0.7× 127 0.8× 77 0.7× 26 0.3× 10 991
Andrés Canela United States 10 1.1k 1.0× 178 1.1× 148 0.9× 99 1.0× 336 3.5× 11 1.3k

Countries citing papers authored by Takao Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by Takao Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Kuroda

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

All Works

18 of 18 papers shown
1.
Kuroda, Takao, et al.. (2019). Robust induction of retinal pigment epithelium cells from human induced pluripotent stem cells by inhibiting FGF/MAPK signaling. Stem Cell Research. 39. 101514–101514. 15 indexed citations
2.
Katagiri, Naohiro, Takao Kuroda, Hiroyuki Kishimoto, et al.. (2015). The nucleolar protein nucleophosmin is essential for autophagy induced by inhibiting Pol I transcription. Scientific Reports. 5(1). 8903–8903. 23 indexed citations
3.
Kumazawa, Takuya, Takao Kuroda, Naohiro Katagiri, et al.. (2015). Perturbation of Ribosome Biogenesis Drives Cells into Senescence through 5S RNP-Mediated p53 Activation. Cell Reports. 10(8). 1310–1323. 110 indexed citations
4.
Sun, Liang, et al.. (2014). Nanog co-regulated by Nodal/Smad2 and Oct4 is required for pluripotency in developing mouse epiblast. Developmental Biology. 392(2). 182–192. 26 indexed citations
5.
Hayashi, Yuki, Takao Kuroda, Hiroyuki Kishimoto, et al.. (2014). Downregulation of rRNA Transcription Triggers Cell Differentiation. PLoS ONE. 9(5). e98586–e98586. 75 indexed citations
6.
Inoue, Mayuko, et al.. (2014). Prdm8 Regulates the Morphological Transition at Multipolar Phase during Neocortical Development. PLoS ONE. 9(1). e86356–e86356. 27 indexed citations
7.
Waku, Tsuyoshi, Takao Kuroda, Yuki Hayashi, et al.. (2013). Nucleolar protein, Myb-binding protein 1A, specifically binds to nonacetylated p53 and efficiently promotes transcriptional activation. Biochemical and Biophysical Research Communications. 434(3). 659–663. 5 indexed citations
8.
Hayashi, Yuki, Takao Kuroda, Hiroyuki Kishimoto, et al.. (2013). The Nucleolar Protein Myb-binding Protein 1A (MYBBP1A) Enhances p53 Tetramerization and Acetylation in Response to Nucleolar Disruption. Journal of Biological Chemistry. 289(8). 4928–4940. 29 indexed citations
9.
Kuroda, Takao, Akiko Murayama, Naohiro Katagiri, et al.. (2011). RNA content in the nucleolus alters p53 acetylation via MYBBP1A. The EMBO Journal. 30(6). 1054–1066. 60 indexed citations
10.
Kumazawa, Takuya, Takao Kuroda, Chie Yamaguchi, et al.. (2011). Novel Nucleolar Pathway Connecting Intracellular Energy Status with p53 Activation. Journal of Biological Chemistry. 286(23). 20861–20869. 26 indexed citations
11.
Tsuchiya, Mai, Naohiro Katagiri, Takao Kuroda, et al.. (2011). Critical role of the nucleolus in activation of the p53-dependent postmitotic checkpoint. Biochemical and Biophysical Research Communications. 407(2). 378–382. 9 indexed citations
12.
Murayama, Akiko, Akiko Fujimura, Hiroshi Minami, et al.. (2008). Epigenetic Control of rDNA Loci in Response to Intracellular Energy Status. Cell. 133(4). 627–639. 317 indexed citations
13.
Kômatsu, Yoko, Ichiaki Ito, Akiko Fujimura, et al.. (2008). PPARγ ligands suppress the feedback loop between E2F2 and cyclin-E1. Biochemical and Biophysical Research Communications. 370(1). 145–148. 6 indexed citations
14.
Kuroda, Takao & Masako Tada. (2006). [Molecular network of transcriptional factors controlling pluripotency of ES cells].. PubMed. 78(2). 137–41. 1 indexed citations
15.
Kuroda, Takao, Masako Tada, Hiroshi Kubota, et al.. (2005). Octamer and Sox Elements Are Required for Transcriptional cis Regulation of Nanog Gene Expression. Molecular and Cellular Biology. 25(6). 2475–2485. 385 indexed citations
16.
Kuroda, Takao, et al.. (2004). Analysis of the Roles of Cyclin B1 and Cyclin B2 in Porcine Oocyte Maturation by Inhibiting Synthesis with Antisense RNA Injection1. Biology of Reproduction. 70(1). 154–159. 38 indexed citations
17.
Kuroda, Takao & Kunihiko Naito. (2003). Localization and Function of Cyclin B1 and Cyclin B2 during Porcine Oocyte Maturation. Journal of Mammalian Ova Research. 20(3). 93–98. 4 indexed citations
18.
Ogawa, Tohru, Yoshitaka Yamada, Takao Kuroda, Tetsuya Kishi, & Shigeki Moriya. (2002). The datA locus predominantly contributes to the initiator titration mechanism in the control of replication initiation in Escherichia coli. Molecular Microbiology. 44(5). 1367–1375. 64 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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