Misuzu Ueki

693 total citations
57 papers, 522 citations indexed

About

Misuzu Ueki is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Misuzu Ueki has authored 57 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Genetics and 13 papers in Immunology. Recurrent topics in Misuzu Ueki's work include Immunodeficiency and Autoimmune Disorders (8 papers), RNA and protein synthesis mechanisms (6 papers) and DNA Repair Mechanisms (5 papers). Misuzu Ueki is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (8 papers), RNA and protein synthesis mechanisms (6 papers) and DNA Repair Mechanisms (5 papers). Misuzu Ueki collaborates with scholars based in Japan and Mexico. Misuzu Ueki's co-authors include Toshihiro Yasuda, Reiko Iida, Haruo Takeshita, Junko Fujihara, Tamiko Nakajima, Kaori Kimura‐Kataoka, Yoshihiko Kominato, Koichiro Kishi, Isao Yuasa and Yasuyuki Kawai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Misuzu Ueki

56 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Misuzu Ueki Japan 13 307 150 118 47 45 57 522
Ashley M. Smith United States 11 366 1.2× 179 1.2× 91 0.8× 42 0.9× 34 0.8× 16 603
Yanxia Chu United States 15 340 1.1× 113 0.8× 75 0.6× 39 0.8× 117 2.6× 29 755
D K Didier United States 9 547 1.8× 252 1.7× 200 1.7× 44 0.9× 69 1.5× 11 925
Véronique Adoue France 15 377 1.2× 294 2.0× 161 1.4× 34 0.7× 107 2.4× 21 809
Andrew Crenshaw United States 8 236 0.8× 43 0.3× 182 1.5× 42 0.9× 73 1.6× 12 664
Donald E. Fleenor United States 14 248 0.8× 76 0.5× 77 0.7× 27 0.6× 34 0.8× 20 503
Pedro Flores Mexico 9 507 1.7× 143 1.0× 122 1.0× 30 0.6× 114 2.5× 20 825
Kati Pulkkinen Finland 12 411 1.3× 165 1.1× 52 0.4× 33 0.7× 237 5.3× 14 700
Maria A. Whitehead United Kingdom 9 235 0.8× 150 1.0× 70 0.6× 41 0.9× 43 1.0× 12 520
Robert Lawrence United Kingdom 10 192 0.6× 172 1.1× 236 2.0× 62 1.3× 25 0.6× 16 880

Countries citing papers authored by Misuzu Ueki

Since Specialization
Citations

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

Fields of papers citing papers by Misuzu Ueki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misuzu Ueki

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

All Works

20 of 20 papers shown
1.
Takeshita, Haruo, et al.. (2024). Unveiling human DNase II: Molecular characterizations, gene insights and functional implications. Legal Medicine. 71. 102505–102505. 1 indexed citations
2.
Iida, Reiko, Misuzu Ueki, & Toshihiro Yasuda. (2024). Knockout of M-LP/Mpv17L, a newly identified atypical PDE, alleviates diabetic conditions in mice. Acta Diabetologica. 61(10). 1327–1331. 1 indexed citations
4.
Ueki, Misuzu, Haruo Takeshita, Noritaka Oyama, et al.. (2017). Survey of single-nucleotide polymorphisms in the gene encoding human deoxyribonuclease I-like 2 producing loss of function potentially implicated in the pathogenesis of parakeratosis. PLoS ONE. 12(4). e0175083–e0175083. 6 indexed citations
5.
Kimura‐Kataoka, Kaori, Misuzu Ueki, Haruo Takeshita, et al.. (2014). Identification of the Functional Alleles of the Nonsynonymous Single-Nucleotide Polymorphisms Potentially Implicated in Systemic Lupus Erythematosus in the Human Deoxyribonuclease I Gene. DNA and Cell Biology. 33(8). 492–502. 6 indexed citations
7.
8.
Iida, Reiko, Misuzu Ueki, Junko Fujihara, et al.. (2013). Three Nonsynonymous Single Nucleotide Polymorphisms in the RhitH Gene Cause Reduction of the Repression Activity That Leads to Upregulation of M-LPH, a Participant in Mitochondrial Function. SHILAP Revista de lepidopterología. 2(6). 440–447. 4 indexed citations
9.
Kimura‐Kataoka, Kaori, Toshihiro Yasuda, Junko Fujihara, et al.. (2012). Distribution and haplotype analysis of all the non-synonymous and autoimmunity-related single nucleotide polymorphisms in the human deoxyribonuclease II gene using worldwide populations. Legal Medicine. 15(3). 157–160. 3 indexed citations
10.
Fujihara, Junko, Misuzu Ueki, Toshihiro Yasuda, et al.. (2011). Functional and Genetic Survey of All Known Single-Nucleotide Polymorphisms Within the Human Deoxyribonuclease I Gene in Wide-Ranging Ethnic Groups. DNA and Cell Biology. 30(4). 205–217. 6 indexed citations
12.
Ueki, Misuzu, Junko Fujihara, Haruo Takeshita, et al.. (2011). Global genetic analysis of all single nucleotide polymorphisms in exons of the human deoxyribonuclease I‐like 3 gene and their effect on its catalytic activity. Electrophoresis. 32(12). 1465–1472. 10 indexed citations
13.
Ueki, Misuzu, Reiko Iida, Junko Fujihara, et al.. (2008). Development of Genotyping Methods for Single Nucleotide Polymorphism in the Human Pancreatic Ribonuclease Gene (RNASE1) and Their Application to Population Studies. Biochemical Genetics. 46(3-4). 145–153. 6 indexed citations
14.
Ueki, Misuzu, Haruo Takeshita, Junko Fujihara, et al.. (2007). Susceptibility of mammalian deoxyribonucleases I (DNases I) to proteolysis by proteases and its relationships to tissue distribution: Biochemical and molecular analysis of equine DNase I. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 148(1). 93–102. 6 indexed citations
16.
Yasuda, Toshihiro, Yasuyuki Kawai, Misuzu Ueki, & Koichiro Kishi. (2005). Clinical applications of DNase I, a genetic marker already used for forensic identification. Legal Medicine. 7(4). 274–277. 26 indexed citations
17.
Yasuda, Toshihiro, Haruo Takeshita, Reiko Iida, et al.. (2004). A single amino acid substitution can shift the optimum pH of DNase I for enzyme activity: biochemical and molecular analysis of the piscine DNase I family. Biochimica et Biophysica Acta (BBA) - General Subjects. 1672(3). 174–183. 16 indexed citations
18.
Yasuda, Toshihiro, Reiko Iida, Haruo Takeshita, et al.. (2003). A Simple Method of DNA Extraction and STR Typing from Urine Samples Using a Commercially Available DNA/RNA Extraction Kit. Journal of Forensic Sciences. 48(1). 1–3. 23 indexed citations
19.
Ushiroyama, Takahisa, et al.. (2001). The association between postmenopausal vertebral bone mineral density and estrogen receptor gene alleles in ethnic Japanese living in western Japan.. PubMed. 109(1-2). 15–24. 11 indexed citations
20.
Ushiroyama, Takahisa, et al.. (2001). Does the estrogen receptor gene polymorphism relate to undefined menopausal symptoms?. PubMed. 109(1-2). 3–14. 6 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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