Kayoko Saiki

1.2k total citations
51 papers, 953 citations indexed

About

Kayoko Saiki is a scholar working on Molecular Biology, Clinical Biochemistry and Pharmacology. According to data from OpenAlex, Kayoko Saiki has authored 51 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 5 papers in Pharmacology. Recurrent topics in Kayoko Saiki's work include Metabolism and Genetic Disorders (6 papers), Algal biology and biofuel production (5 papers) and Photosynthetic Processes and Mechanisms (5 papers). Kayoko Saiki is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Algal biology and biofuel production (5 papers) and Photosynthetic Processes and Mechanisms (5 papers). Kayoko Saiki collaborates with scholars based in Japan, Germany and Malaysia. Kayoko Saiki's co-authors include Kiyoshi Tsukida, Yasushi Koyama, Masafumi Matsuo, Jinpei Yamashita, Isamu Yamamoto, Masako Ohno, Sunu Budhi Raharjo, Noriaki Emoto, Koji Ikeda and Mitsuhiro Yokoyama and has published in prestigious journals such as Journal of Biological Chemistry, The Science of The Total Environment and Food Chemistry.

In The Last Decade

Kayoko Saiki

50 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayoko Saiki Japan 16 553 236 128 108 96 51 953
Sanghwa Han South Korea 18 723 1.3× 44 0.2× 54 0.4× 105 1.0× 78 0.8× 44 1.3k
Tokutake Sashima Japan 18 686 1.2× 456 1.9× 60 0.5× 505 4.7× 94 1.0× 25 2.0k
Allan J. Davison Canada 21 862 1.6× 180 0.8× 45 0.4× 24 0.2× 152 1.6× 41 1.5k
Zbigniew Kaniuga Poland 16 948 1.7× 71 0.3× 87 0.7× 38 0.4× 50 0.5× 67 1.3k
Yousry M. A. Naguib United States 11 339 0.6× 525 2.2× 34 0.3× 212 2.0× 321 3.3× 18 1.3k
Horst Sund Germany 20 988 1.8× 37 0.2× 258 2.0× 43 0.4× 116 1.2× 38 1.9k
Samuel F. Lockwood United States 22 403 0.7× 755 3.2× 30 0.2× 166 1.5× 344 3.6× 34 1.3k
Lidia Gȩbicka Poland 18 385 0.7× 85 0.4× 53 0.4× 18 0.2× 197 2.1× 59 977
Salvatore Di Bernardo Italy 18 1.1k 2.0× 29 0.1× 125 1.0× 113 1.0× 130 1.4× 24 1.6k
G. Fritzsch Germany 30 1.9k 3.4× 42 0.2× 104 0.8× 189 1.8× 114 1.2× 59 2.6k

Countries citing papers authored by Kayoko Saiki

Since Specialization
Citations

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

Fields of papers citing papers by Kayoko Saiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayoko Saiki

This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Saiki. A scholar is included among the top collaborators of Kayoko Saiki 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 Kayoko Saiki. Kayoko Saiki 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.
Miyazaki, Kensuke, Hideaki Fujita, Kyota Yasuda, Kayoko Saiki, & Tomonobu M. Watanabe. (2025). Comparative analysis of autofluorescence spectra in a filet of three fish species during chilled storage for raw consumption. Food Chemistry. 493(Pt 1). 145577–145577.
2.
Shibata, Akio, Ichiro Morioka, Chisato Tode, et al.. (2009). Identification of N-acetyl Proline–Glycine–Proline (acPGP) in human serum of adults and newborns by liquid chromatography–tandem mass spectrometry. Clinica Chimica Acta. 402(1-2). 124–128. 6 indexed citations
3.
Nishiyama, Atsushi, Yasuhiro Takeshima, Kayoko Saiki, et al.. (2007). Two novel missense mutations in the myostatin gene identified in Japanese patients with Duchenne muscular dystrophy. BMC Medical Genetics. 8(1). 19–19. 12 indexed citations
5.
Takeuchi, Atsuko, et al.. (2006). Quantification of lysophosphatidylcholines and phosphatidylcholines using liquid chromatography–tandem mass spectrometry in neonatal serum. Journal of Chromatography B. 838(1). 31–36. 50 indexed citations
6.
Trần, Văn Khanh, Nguyễn Thị Hoàn, Zhujun Zhang, et al.. (2006). Co-occurrence of mutations in both dystrophin- and androgen-receptor genes is a novel cause of female Duchenne muscular dystrophy. Human Genetics. 119(5). 516–519. 21 indexed citations
7.
Wada, Keiko, Atsuko Takeuchi, Kayoko Saiki, et al.. (2006). Evaluation of mutation effects on UGT1A1 activity toward 17β-estradiol using liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 838(1). 9–14. 9 indexed citations
8.
Ohno, Masako, et al.. (2000). Circadian variation of the urinary 6β-hydroxycortisol to cortisol ratio that would reflect hepatic CYP3A activity. European Journal of Clinical Pharmacology. 55(11-12). 861–865. 63 indexed citations
10.
Kawanishi, Kae, et al.. (1999). CROWN HUMUS : PART I-THE CHEMISTRY OF THE CANOPY ORGANIC MATTER OF RAIN FORESTS IN COSTA RICA. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 38(1). 67–75. 3 indexed citations
11.
Kiji, Jitsuo, et al.. (1998). Palladium-catalyzed carbonylative coupling of iodobenzene and 2-methyl-3-butyn-2-ol under biphasic conditions: Formation of furanones. Journal of Molecular Catalysis A Chemical. 130(1-2). 95–100. 13 indexed citations
12.
Saiki, Kayoko, et al.. (1995). Identification of the d-enantiomer of 2-hydroxyglutaric acid in glutaric aciduria type II. Clinica Chimica Acta. 238(2). 115–124. 20 indexed citations
13.
Tagawa, Noriko, et al.. (1994). Studies on Steroids in Fetuses and Neonates: Identification of 16-Dehydropregnenolone in the Circulation of Pre-term Neonates.. Biological and Pharmaceutical Bulletin. 17(11). 1501–1504. 3 indexed citations
14.
Iwasa, K., M. Kamigauchi, Kayoko Saiki, Narao Takao, & Wolfgang Wiegrebe. (1993). O-Methylating enzymes of dopamine and dopamine derived tetrahydroisoquinoline, salsolinol. Phytochemistry. 32(6). 1443–1448. 4 indexed citations
15.
Saiki, Kayoko, et al.. (1993). Characteristics of Mass Fragmentation of Steroids by Atmospheric Pressure Chemical Ionization-Mass Spectrometry.. Biological and Pharmaceutical Bulletin. 16(11). 1175–1178. 24 indexed citations
16.
Nakae, Kimihiro, et al.. (1991). [A cohort study on deaths from SMON in Japan].. PubMed. 38(5). 344–9. 2 indexed citations
17.
Fujitake, Nobuhide, et al.. (1991). Determination of chrysotalunin, a predominant soil anthraquinone pigment, by high-performance liquid chromatography. Geoderma. 48(1-2). 83–92. 9 indexed citations
18.
Moriyasu, Masataka, Kayoko Saiki, Yôhei Hashimoto, et al.. (1988). Evaluation of Crude Drugs by a Combination of Enfleurage and Chromatography (IV) : On Flavor Components in Seeds of Amomum cardamomum and Elettaria cardamomum. 42(1). 94–97. 2 indexed citations
19.
Moriyasu, Masataka, Kayoko Saiki, Atsushi Kato, et al.. (1987). Evaluation of Crude Drugs by a Combination of Enfleurage and Chromatography (III) : On Flavor Components in Seeds of Amomum xanthioides, Alpinia katsumadai and Amomum tsao-ko. 41(2). 108–115. 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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