Yasuhiko Matsuki

648 total citations
48 papers, 548 citations indexed

About

Yasuhiko Matsuki is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Genetics. According to data from OpenAlex, Yasuhiko Matsuki has authored 48 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Health, Toxicology and Mutagenesis and 9 papers in Genetics. Recurrent topics in Yasuhiko Matsuki's work include Effects and risks of endocrine disrupting chemicals (10 papers), Analytical Chemistry and Chromatography (8 papers) and Toxic Organic Pollutants Impact (8 papers). Yasuhiko Matsuki is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (10 papers), Analytical Chemistry and Chromatography (8 papers) and Toxic Organic Pollutants Impact (8 papers). Yasuhiko Matsuki collaborates with scholars based in Japan, United States and Sri Lanka. Yasuhiko Matsuki's co-authors include Hiroyuki Nakazawa, Koichi Saito, TOSHIO NAMBARA, Shinjiro Hori, Andreas Sjödin, Courtney D. Sandau, Donald G. Patterson, Mark Davis, Toshio Nambara and Hajime Oda and has published in prestigious journals such as Analytical Chemistry, Chemosphere and Journal of Chromatography A.

In The Last Decade

Yasuhiko Matsuki

47 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhiko Matsuki Japan 11 250 120 96 80 64 48 548
P. J. Wagstaffe Belgium 12 115 0.5× 95 0.8× 113 1.2× 96 1.2× 92 1.4× 47 505
S. Rubio-Barroso Spain 13 166 0.7× 156 1.3× 176 1.8× 52 0.7× 65 1.0× 21 464
Ronald E. Hunter United States 12 197 0.8× 118 1.0× 115 1.2× 156 1.9× 167 2.6× 14 692
Anikó Kende United Kingdom 13 73 0.3× 110 0.9× 102 1.1× 100 1.3× 80 1.3× 19 508
P.R. Kootstra Netherlands 14 120 0.5× 89 0.7× 158 1.6× 108 1.4× 103 1.6× 17 476
Thomas Renner Germany 10 234 0.9× 195 1.6× 185 1.9× 130 1.6× 44 0.7× 12 677
Bonny K. Larsson Sweden 11 368 1.5× 59 0.5× 67 0.7× 122 1.5× 68 1.1× 16 698
R. Macrae United Kingdom 11 115 0.5× 125 1.0× 275 2.9× 120 1.5× 45 0.7× 14 574
J. Alary France 12 79 0.3× 76 0.6× 118 1.2× 152 1.9× 63 1.0× 71 678

Countries citing papers authored by Yasuhiko Matsuki

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiko Matsuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiko Matsuki

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiko Matsuki. A scholar is included among the top collaborators of Yasuhiko Matsuki 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 Yasuhiko Matsuki. Yasuhiko Matsuki 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.
Saito, Koichi, et al.. (2009). Highly Sensitive Reporter Gene Assay for Dioxins in Human Plasma by Using Cycloheximide as an Enhancer Substance. Analytical Sciences. 25(8). 1029–1032. 1 indexed citations
2.
Ikegami, Tadashi, Yasuhiko Matsuki, Yasuhito Tanaka, et al.. (2008). Impact of determination of hepatitis B virus subgenotype and pre‐core/core‐promoter mutation for the prediction of acute exacerbation of asymptomatic carriers. Hepatology Research. 39(4). 341–345. 5 indexed citations
3.
4.
Shirota, Mariko, et al.. (2006). Internal dose-effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in gonadotropin-primed weanling rat model. Archives of Toxicology. 81(4). 261–269. 4 indexed citations
5.
Saito, Koichi, Migaku Kawaguchi, Rie Ito, et al.. (2005). Systematic analysis and overall toxicity evaluation of dioxins and hexachlorobenzene in human milk. Chemosphere. 61(9). 1215–1220. 9 indexed citations
6.
Okuyama, Mitsunobu, Norihiro Kobayashi, Takako Anjo, et al.. (2004). Enzyme-Linked Immunosorbent Assay for Monitoring Toxic Dioxin Congeners in Milk Based on a Newly Generated Monoclonal Anti-Dioxin Antibody. Analytical Chemistry. 76(7). 1948–1956. 19 indexed citations
7.
8.
KAWAMURA, Yoko, Masako Tanimura, Rieko Matsuda, et al.. (2003). Estimation of Daily Oral Exposure to Phthalates Derived from Soft Polyvinyl Chloride Baby Toys.. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 44(2). 96–102. 14 indexed citations
9.
Saito, Koichi, Susumu Kobayashi, Guomin Shan, et al.. (2002). Development of dioxin toxicity evaluation method in human milk by enzyme-linked immunosorbent assay––assay validation for human milk. Chemosphere. 46(9-10). 1471–1476. 19 indexed citations
10.
Matsuki, Yasuhiko, et al.. (1999). Toxicokinetic Study of Fadrozole, a Non-Steroidal Aromatase Inhibitor, in Chicken Eggs by the Injection into the Air Sac.. Japanese poultry science. 36(6). 382–387. 1 indexed citations
11.
Nakagomi, Madoka, et al.. (1999). Enzyme immunoassay for the measurement of 17α-estradiol 17-N-acetylglucosaminide in rabbit urine. Steroids. 64(4). 301–307. 5 indexed citations
12.
Nakagomi, Madoka, et al.. (1999). Preparation of specific antisera to 15α-hydroxyestrogens. Steroids. 64(8). 551–557. 2 indexed citations
13.
Suzuki, Emako, et al.. (1998). Enzymic and chemical O-methylation of a 4-hydroxyestrone N-acetylcysteine conjugate. Steroids. 63(12). 672–677. 2 indexed citations
14.
Matsuki, Yasuhiko, Shinsuke Yoshimura, & Masahiro Abe. (1997). SMON and Pharmacokinetics of Chinoform with Special Reference to Animal Species Difference. YAKUGAKU ZASSHI. 117(10-11). 936–956. 4 indexed citations
15.
Suzuki, Emako, et al.. (1996). Synthesis of N-acetylcysteine conjugates of catechol estrogens. Steroids. 61(5). 296–301. 2 indexed citations
16.
Suzuki, Emako, et al.. (1993). Determination of catechol and guaiacol estrogens in urine by capillary gas chromatography/mass spectrometry. Biomedical Chromatography. 7(3). 172–176. 8 indexed citations
17.
Suzuki, Emako, et al.. (1993). Assay of enzymic O-methylation of catechol oestrogens by high-performance liquid chromatography with coulometric detection. Journal of Chromatography B Biomedical Sciences and Applications. 617(2). 221–225. 9 indexed citations
18.
Suzuki, Emako, et al.. (1993). Enzymatic O-methylation of catechol estrogens in red blood cells: differences in animal species and strains. Steroids. 58(11). 540–546. 4 indexed citations
19.
Mogi, Masayuki, et al.. (1987). Determination of isofloxythepin in biological fluids by gas chromatography—mass spectrometry. Journal of Chromatography A. 399. 245–250. 1 indexed citations
20.
Matsuki, Yasuhiko, et al.. (1986). Determination of Zeranol and Estradiol in Beef by High Performance Liquid Chromatography with Electrochemical Detection. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 27(5). 517–521_1. 1 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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