Yasuko Minaki

1.4k total citations
16 papers, 975 citations indexed

About

Yasuko Minaki is a scholar working on Molecular Biology, Developmental Neuroscience and Genetics. According to data from OpenAlex, Yasuko Minaki has authored 16 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Developmental Neuroscience and 3 papers in Genetics. Recurrent topics in Yasuko Minaki's work include Developmental Biology and Gene Regulation (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Pluripotent Stem Cells Research (3 papers). Yasuko Minaki is often cited by papers focused on Developmental Biology and Gene Regulation (9 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Pluripotent Stem Cells Research (3 papers). Yasuko Minaki collaborates with scholars based in Japan and Ghana. Yasuko Minaki's co-authors include Tomoya Nakatani, Yūichi Ono, Eri Mizuhara, Minoru Kumai, Yoshimasa Sakamoto, Yoko Inoue, Toshio Imai, Jun Takahashi, Hideki Hayashi and Akiko Hamaguchi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Yasuko Minaki

16 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuko Minaki Japan 13 708 313 266 125 121 16 975
Tomoya Nakatani Japan 16 703 1.0× 318 1.0× 272 1.0× 59 0.5× 129 1.1× 21 1.0k
Hidemasa Kato Japan 17 699 1.0× 318 1.0× 236 0.9× 48 0.4× 74 0.6× 34 1.1k
Shunsaku Homma Japan 13 496 0.7× 383 1.2× 234 0.9× 77 0.6× 71 0.6× 18 855
Patricia J. Renfranz United States 9 620 0.9× 356 1.1× 264 1.0× 58 0.5× 102 0.8× 9 875
Clare Faux United Kingdom 14 660 0.9× 343 1.1× 379 1.4× 60 0.5× 135 1.1× 15 1.1k
Anna La Torre United States 17 905 1.3× 422 1.3× 214 0.8× 91 0.7× 101 0.8× 37 1.2k
Takaaki Kuwajima United States 13 608 0.9× 280 0.9× 116 0.4× 47 0.4× 156 1.3× 20 1.0k
Muriel Bozon France 19 407 0.6× 564 1.8× 254 1.0× 65 0.5× 97 0.8× 36 1.1k
Mireille Rossel France 17 810 1.1× 285 0.9× 237 0.9× 117 0.9× 194 1.6× 45 1.3k
Ryosuke Ohsawa Japan 10 825 1.2× 229 0.7× 213 0.8× 31 0.2× 161 1.3× 20 1.1k

Countries citing papers authored by Yasuko Minaki

Since Specialization
Citations

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

Fields of papers citing papers by Yasuko Minaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuko Minaki

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

All Works

16 of 16 papers shown
1.
Sakamoto, Michiharu, Yasuko Minaki, Takashi Nakano, et al.. (2022). A novel approach for wound treatment using dried cultured epidermal allograft: A phase I/II, single-center, open-label clinical trial. Burns. 49(5). 1079–1086. 4 indexed citations
2.
Hirata, Koji, Sota Kodama, Yasuhiro Nakano, et al.. (2019). Exocrine tissue-driven TFF2 prevents apoptotic cell death of endocrine lineage during pancreas organogenesis. Scientific Reports. 9(1). 1636–1636. 7 indexed citations
3.
Nakatani, Tomoya, et al.. (2014). The c-Ski family member and transcriptional regulator Corl2/Skor2 promotes early differentiation of cerebellar Purkinje cells. Developmental Biology. 388(1). 68–80. 32 indexed citations
4.
Kim, Soo Ki, Akihiro Nasu, Junji Komori, et al.. (2013). A model of liver carcinogenesis originating from hepatic progenitor cells with accumulation of genetic alterations. International Journal of Cancer. 134(5). 1067–1076. 10 indexed citations
5.
Ono, Yūichi, Tomoya Nakatani, Yasuko Minaki, & Minoru Kumai. (2010). The basic helix-loop-helix transcription factor Nato3 controls neurogenic activity in mesencephalic floor plate cells. Development. 137(11). 1897–1906. 30 indexed citations
6.
Nakatani, Tomoya, Minoru Kumai, Eri Mizuhara, Yasuko Minaki, & Yūichi Ono. (2009). Lmx1a and Lmx1b cooperate with Foxa2 to coordinate the specification of dopaminergic neurons and control of floor plate cell differentiation in the developing mesencephalon. Developmental Biology. 339(1). 101–113. 97 indexed citations
7.
Mizuhara, Eri, Yasuko Minaki, Tomoya Nakatani, et al.. (2009). Purkinje cells originate from cerebellar ventricular zone progenitors positive for Neph3 and E-cadherin. Developmental Biology. 338(2). 202–214. 55 indexed citations
8.
Minaki, Yasuko, Tomoya Nakatani, Eri Mizuhara, Takeshi Inoue, & Yūichi Ono. (2008). Identification of a novel transcriptional corepressor, Corl2, as a cerebellar Purkinje cell-selective marker. Gene Expression Patterns. 8(6). 418–423. 51 indexed citations
9.
Nakatani, Tomoya, Yasuko Minaki, Minoru Kumai, & Yūichi Ono. (2007). Helt determines GABAergic over glutamatergic neuronal fate by repressing Ngn genes in the developing mesencephalon. Development. 134(15). 2783–2793. 86 indexed citations
10.
Ono, Yuichi, Tomoya Nakatani, Yoshimasa Sakamoto, et al.. (2007). Differences in neurogenic potential in floor plate cells along an anteroposterior location: midbrain dopaminergic neurons originate from mesencephalic floor plate cells. Development. 134(17). 3213–3225. 255 indexed citations
11.
Minaki, Yasuko, Eri Mizuhara, Koji Morimoto, et al.. (2005). Migrating postmitotic neural precursor cells in the ventricular zone extend apical processes and form adherens junctions near the ventricle in the developing spinal cord. Neuroscience Research. 52(3). 250–262. 28 indexed citations
12.
Mizuhara, Eri, Tomoya Nakatani, Yasuko Minaki, et al.. (2005). MAGI1 Recruits Dll1 to Cadherin-based Adherens Junctions and Stabilizes It on the Cell Surface. Journal of Biological Chemistry. 280(28). 26499–26507. 59 indexed citations
13.
Nakatani, Tomoya, Eri Mizuhara, Yasuko Minaki, Yoshimasa Sakamoto, & Yūichi Ono. (2004). Helt, a Novel Basic-Helix-Loop-Helix Transcriptional Repressor Expressed in the Developing Central Nervous System. Journal of Biological Chemistry. 279(16). 16356–16367. 36 indexed citations
14.
Mizuhara, Eri, Tomoya Nakatani, Yasuko Minaki, Yoshimasa Sakamoto, & Yūichi Ono. (2004). Corl1, a Novel Neuronal Lineage-specific Transcriptional Corepressor for the Homeodomain Transcription Factor Lbx1. Journal of Biological Chemistry. 280(5). 3645–3655. 48 indexed citations
15.
Tanimura, Natsuko, Masakazu Nagafuku, Yasuko Minaki, et al.. (2003). Dynamic changes in the mobility of LAT in aggregated lipid rafts upon T cell activation. The Journal of Cell Biology. 160(1). 125–135. 65 indexed citations
16.
Yasuda, Koubun, Masakazu Nagafuku, Takaki Shima, et al.. (2002). Cutting Edge: Fyn Is Essential for Tyrosine Phosphorylation of Csk-Binding Protein/Phosphoprotein Associated with Glycolipid-Enriched Microdomains in Lipid Rafts in Resting T Cells. The Journal of Immunology. 169(6). 2813–2817. 112 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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