Kyoko Udaka

501 total citations
13 papers, 440 citations indexed

About

Kyoko Udaka is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Kyoko Udaka has authored 13 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Kyoko Udaka's work include Enzyme Production and Characterization (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Phytase and its Applications (3 papers). Kyoko Udaka is often cited by papers focused on Enzyme Production and Characterization (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Phytase and its Applications (3 papers). Kyoko Udaka collaborates with scholars based in Japan, Slovakia and Cambodia. Kyoko Udaka's co-authors include Y Takeuchi, Henry Z. Movat, Chikafusa Fukazawa, Takayuki Momma, Takaharu Negoro, Nông Văn Hải, Akiyo Matsumoto, K. Harada, Hisashi Hirano and Akira Watanabe and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and FEBS Letters.

In The Last Decade

Kyoko Udaka

12 papers receiving 403 citations

Peers

Kyoko Udaka
M Delannoy United States
Odete Mendes United States
Samuel B. Stephens United States
William M. Mackin United States
Nicole Stevens United States
Kyoko Udaka
Citations per year, relative to Kyoko Udaka Kyoko Udaka (= 1×) peers H Ishihara

Countries citing papers authored by Kyoko Udaka

Since Specialization
Citations

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

Fields of papers citing papers by Kyoko Udaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoko Udaka

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

All Works

13 of 13 papers shown
1.
Hải, Nông Văn, et al.. (2000). Purification, molecular cloning and ethylene‐inducible expression of a soluble‐type epoxide hydrolase from soybean (Glycine max[L.] Merr.). European Journal of Biochemistry. 267(9). 2649–2657. 32 indexed citations
2.
Watanabe, Akira, et al.. (1999). Molecular Cloning and Ethylene-Inducible Expression ofChib1 Chitinase from Soybean (Glycine max(L.) Merr.). Bioscience Biotechnology and Biochemistry. 63(2). 251–256. 21 indexed citations
3.
Hải, Nông Văn, et al.. (1998). Molecular Cloning and Expression Patterns of Cu/Zn-Superoxide Dismutases in Developing Soybean Seeds. Bioscience Biotechnology and Biochemistry. 62(5). 1018–1021. 5 indexed citations
4.
Udaka, Kyoko, et al.. (1996). A Rapid Purification Method for Soybean Bowman–Birk Protease Inhibitor Using Hydrophobic Interaction Chromatography. Protein Expression and Purification. 7(3). 309–314. 8 indexed citations
5.
Fukazawa, Chikafusa, et al.. (1987). Expression of soybean glycinin subunit precursor cDNAs in Escherichia coli. FEBS Letters. 224(1). 125–127. 7 indexed citations
6.
Fukazawa, Chikafusa, et al.. (1987). Complete nucleotide sequence of the gene encoding a glycinin A2B1a. subunit precursor of soybean. Nucleic Acids Research. 15(19). 8117–8117. 1 indexed citations
7.
Fukazawa, Chikafusa, et al.. (1985). Glycinin A3B4 mRNA. Cloning and sequencing of double-stranded cDNA complementary to a soybean storage protein.. Journal of Biological Chemistry. 260(10). 6234–6239. 47 indexed citations
8.
Momma, Takayuki, Takaharu Negoro, Hisashi Hirano, et al.. (1985). Glycinin A5A4B3 mRNA: cDNA cloning and nucleotide sequencing of a splitting storage protein subunit of soybean. European Journal of Biochemistry. 149(3). 491–496. 51 indexed citations
9.
Momma, Takayuki, Takaharu Negoro, Kyoko Udaka, & Chikafusa Fukazawa. (1985). A complete cDNA coding for the sequence of glycinin A2B1a subunit precursor. FEBS Letters. 188(1). 117–122. 19 indexed citations
10.
Fukazawa, Chikafusa, Kyoko Udaka, & Kensuke SHIMURA. (1979). Specificity of Silkgland Hl Histone. Cell Structure and Function. 4(1). 63–66. 1 indexed citations
11.
Horii, Ikuo, N. Shishido, & Kyoko Udaka. (1976). 209. Quantitative Analysis of Serum and Tissue Lipid Components in Experimental Laboratory Animals : II ANALYSIS OF TISSUE LIPID COMPONENTS IN EXPERIMENTAL ANIMAL MODELS OF DISEASES (The Second Meeting for the Study of Toxic Effect). The Journal of Toxicological Sciences. 1(2). 94–95.
12.
YAMASHITA, Ichiji, et al.. (1972). Studies on the Analytical Method of Organic Acids in Foods. NIPPON SHOKUHIN KOGYO GAKKAISHI. 19(5). 194–199. 3 indexed citations
13.
Udaka, Kyoko, Y Takeuchi, & Henry Z. Movat. (1970). Simple Method for Quantitation of Enhanced Vascular Permeability. Experimental Biology and Medicine. 133(4). 1384–1387. 245 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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