Ikuko Miyajima

1.3k total citations
12 papers, 1.1k citations indexed

About

Ikuko Miyajima is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ikuko Miyajima has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ikuko Miyajima's work include Fungal and yeast genetics research (8 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Microbial Inactivation Methods (2 papers). Ikuko Miyajima is often cited by papers focused on Fungal and yeast genetics research (8 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Microbial Inactivation Methods (2 papers). Ikuko Miyajima collaborates with scholars based in Japan, France and United States. Ikuko Miyajima's co-authors include Atsushi Miyajima, Toshio Kitamura, Kazuhiro Sakamaki, Kunihiro Matsumoto, Masato Nakafuku, Kozo Kaibuchi, Naoki Nakayama, Charles Brenner, Yoshito Kaziro and Ken‐ichi Arai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ikuko Miyajima

12 papers receiving 1.1k citations

Peers

Ikuko Miyajima
Selma Silagi United States
Jinq-May Chen United Kingdom
Jeffrey T. McGrew United States
Ina Baumann Germany
Yasmina Soneji United Kingdom
Stuart Kornfeld United States
June V. Harriss United States
I A MacNeil United States
Ikuko Miyajima
Citations per year, relative to Ikuko Miyajima Ikuko Miyajima (= 1×) peers Hans-Werner Fries

Countries citing papers authored by Ikuko Miyajima

Since Specialization
Citations

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

Fields of papers citing papers by Ikuko Miyajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuko Miyajima

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

All Works

12 of 12 papers shown
1.
Miyajima, Ikuko, Lee Levitt, Takahiko Hara, et al.. (1995). The murine interleukin-3 receptor alpha subunit gene: chromosomal localization, genomic structure, and promoter function. Blood. 85(5). 1246–1253. 36 indexed citations
2.
Sakamaki, Kazuhiro, Huimin Wang, Ikuko Miyajima, et al.. (1993). Ligand-dependent activation of chimeric receptors with the cytoplasmic domain of the interleukin-3 receptor beta subunit (beta IL3). Journal of Biological Chemistry. 268(21). 15833–15839. 39 indexed citations
3.
Sakamaki, Kazuhiro, Ikuko Miyajima, Toshio Kitamura, & Atsushi Miyajima. (1992). Critical cytoplasmic domains of the common beta subunit of the human GM-CSF, IL-3 and IL-5 receptors for growth signal transduction and tyrosine phosphorylation.. The EMBO Journal. 11(10). 3541–3549. 320 indexed citations
4.
5.
Miyajima, Ikuko, Ken‐ichi Arai, & Kunihiro Matsumoto. (1989). GPA1Val-50 mutation in the mating-factor signaling pathway in Saccharomyces cerevisiae.. Molecular and Cellular Biology. 9(6). 2289–2297. 54 indexed citations
6.
Miyajima, Ikuko, Naoki Nakayama, Masato Nakafuku, et al.. (1988). Suppressors of a gpa1 mutation cause sterility in Saccharomyces cerevisiae.. Genetics. 119(4). 797–804. 12 indexed citations
7.
Matsumoto, Kenji, Masato Nakafuku, Naoki Nakayama, et al.. (1988). The Role of G Proteins in Yeast Signal Transduction. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 567–575. 6 indexed citations
8.
Nakafuku, Masato, Tomoko Obara, Kozo Kaibuchi, et al.. (1988). Isolation of a second yeast Saccharomyces cerevisiae gene (GPA2) coding for guanine nucleotide-binding regulatory protein: studies on its structure and possible functions.. Proceedings of the National Academy of Sciences. 85(5). 1374–1378. 168 indexed citations
9.
Miyajima, Ikuko, Masato Nakafuku, Naoki Nakayama, et al.. (1987). GPA1, a haploid-specific essential gene, encodes a yeast homolog of mammalian G protein which may be involved in mating factor signal transduction. Cell. 50(7). 1011–1019. 327 indexed citations
10.
Miyajima, Atsushi, Ikuko Miyajima, K.I. Arai, & Naoko Arai. (1984). Expression of Plasmid R388-Encoded Type II Dihydrofolate Reductase as a Dominant Selective Marker in Saccharomyces cerevisiae. Molecular and Cellular Biology. 4(3). 407–414. 2 indexed citations
11.
Miyajima, Atsushi, Ikuko Miyajima, Ken Arai, & Naoko Arai. (1984). Expression of plasmid R388-encoded type II dihydrofolate reductase as a dominant selective marker in Saccharomyces cerevisiae.. Molecular and Cellular Biology. 4(3). 407–414. 41 indexed citations
12.
Miyajima, Atsushi, Naoki Nakayama, Ikuko Miyajima, et al.. (1984). Analysis of full-length cDNA clones carryingGALIofSaccharomyces cerevisiae:a model system for cDNA expression. Nucleic Acids Research. 12(16). 6397–6414. 24 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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