Makiko Shimizu

6.9k total citations
252 papers, 4.5k citations indexed

About

Makiko Shimizu is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Makiko Shimizu has authored 252 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Pharmacology, 71 papers in Oncology and 51 papers in Molecular Biology. Recurrent topics in Makiko Shimizu's work include Pharmacogenetics and Drug Metabolism (112 papers), Drug Transport and Resistance Mechanisms (58 papers) and Metabolism and Genetic Disorders (28 papers). Makiko Shimizu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (112 papers), Drug Transport and Resistance Mechanisms (58 papers) and Metabolism and Genetic Disorders (28 papers). Makiko Shimizu collaborates with scholars based in Japan, United States and United Kingdom. Makiko Shimizu's co-authors include Hiroshi Yamazaki, Norie Murayama, Yasuhiro Uno, Hiroshi Suemizu, Shiro Akinaga, F. Peter Guengerich, Shotaro Uehara, Tadakazu Akiyama, Taro Shirakawa and Mayumi Tamari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Makiko Shimizu

245 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makiko Shimizu Japan	36	1.5k	1.3k	1.2k	563	465	252	4.5k
Jukka Hakkola Finland	44	2.1k 1.4×	1.6k 1.2×	1.1k 0.9×	518 0.9×	142 0.3×	93	5.2k
Urs A. Boelsterli Switzerland	45	2.4k 1.6×	1.7k 1.3×	1.1k 1.0×	323 0.6×	180 0.4×	110	5.3k
Colin J. Henderson United Kingdom	45	2.4k 1.6×	4.6k 3.5×	1.7k 1.4×	462 0.8×	413 0.9×	166	8.6k
Igor N. Zelko United States	20	1.4k 0.9×	1.7k 1.3×	721 0.6×	562 1.0×	254 0.5×	36	4.4k
Christopher E. Goldring United Kingdom	43	1.5k 1.0×	3.8k 2.9×	743 0.6×	406 0.7×	547 1.2×	124	7.1k
Abdellah Mansouri France	38	951 0.6×	2.3k 1.8×	527 0.4×	756 1.3×	259 0.6×	95	6.2k
Kiyoshi Nagata Japan	44	2.7k 1.8×	2.5k 1.9×	1.5k 1.3×	393 0.7×	156 0.3×	231	6.6k
A. Guillouzo France	35	1.6k 1.0×	1.6k 1.2×	984 0.8×	244 0.4×	220 0.5×	116	4.8k
Olivier Barbier Canada	44	1.3k 0.9×	2.9k 2.2×	1.7k 1.4×	703 1.2×	279 0.6×	130	6.4k
María José Gómez‐Lechón Spain	33	757 0.5×	1.2k 0.9×	736 0.6×	400 0.7×	479 1.0×	81	4.8k

Countries citing papers authored by Makiko Shimizu

Since Specialization

Citations

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

Fields of papers citing papers by Makiko Shimizu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Shimizu

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

All Works

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20 of 20 papers shown

Queiróz, Mário Adriano Ávila, et al.. (2025). Comparative in-vitro degradation of hyaluronic acids exposed to different hyaluronidase enzymes. Journal of Oral Biology and Craniofacial Research. 15(1). 178–182. 2 indexed citations

Shimizu, Makiko, et al.. (2025). In Silico Binary Classification of Catalytic Function (Unaffected or Impaired) of Flavin-Containing Monooxygenase 3 (FMO3) Variants and in Vitro Validation Using New Variants Found in a Japanese Genome Resource Database. Biological and Pharmaceutical Bulletin. 48(7). 1062–1069. 2 indexed citations

Uno, Yasuhiro, Makiko Shimizu, & Hiroshi Yamazaki. (2024). A variety of cytochrome P450 enzymes and flavin-containing monooxygenases in dogs and pigs commonly used as preclinical animal models. Biochemical Pharmacology. 228. 116124–116124. 5 indexed citations

Shimizu, Makiko, et al.. (2024). Octanol/water partition coefficients estimated using retention times in reverse-phase liquid chromatography and calculated in silico as one of the determinant factors for pharmacokinetic parameter estimations of general chemical substances. The Journal of Toxicological Sciences. 49(4). 127–137. 6 indexed citations

Murata, Maki, et al.. (2024). Interaction of a caffeine overdose with clinical doses of contraceptive ethinyl estradiol in a young woman. SHILAP Revista de lepidopterología. 11(1). e985–e985. 1 indexed citations

Ohyama, Katsuhiro, et al.. (2024). Modeled Hepatic/Plasma Exposures of Fluvastatin Prescribed Alone in Subjects with Impaired Cytochrome P450 2C9*3 as One of Possible Determinant Factors Likely Associated with Hepatic Toxicity Reported in a Japanese Adverse Event Database. Biological and Pharmaceutical Bulletin. 47(3). 635–640. 4 indexed citations

Uno, Yasuhiro, et al.. (2024). Molecular and functional characterization of flavin-containing monooxygenases (FMO1–6) in tree shrews. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 277. 109835–109835. 4 indexed citations

Shimizu, Makiko, et al.. (2023). Modeled Rat Hepatic and Plasma Concentrations of Chemicals after Virtual Administrations Using Two Sets of in Silico Liver-to-Plasma Partition Coefficients. Biological and Pharmaceutical Bulletin. 46(9). 1316–1323. 8 indexed citations

Ohyama, Katsuhiro, Yoïchi Tanaka, Norie Murayama, et al.. (2023). Plasma and Hepatic Exposures of Celecoxib and Diclofenac Prescribed Alone in Patients with Cytochrome P450 2C9*3 Modeled after Virtual Oral Administrations and Likely Associated with Adverse Drug Events Reported in a Japanese Database. Biological and Pharmaceutical Bulletin. 46(6). 856–863. 8 indexed citations

10.

Shimizu, Makiko, et al.. (2023). A family study of compound variants of flavin-containing monooxygenase 3 (FMO3) in Japanese subjects found by urinary phenotyping for trimethylaminuria. Drug Metabolism and Pharmacokinetics. 50. 100490–100490. 5 indexed citations

11.

Ohyama, Katsuhiro, Yoïchi Tanaka, Norie Murayama, et al.. (2022). High hepatic and plasma exposures of atorvastatin in subjects harboring impaired cytochrome P450 3A4∗16 modeled after virtual administrations and possibly associated with statin intolerance found in the Japanese adverse drug event report database. Drug Metabolism and Pharmacokinetics. 49. 100486–100486. 13 indexed citations

12.

Emoto, Chie, Makiko Shimizu, Toshihiro Tanaka, & Hiroshi Yamazaki. (2021). Feasibility of physiologically based pharmacokinetic simulations for assessing pediatric patients after accidental drug ingestion: A case study of a 1.4-year-old girl who ingested alprazolam. Drug Metabolism and Pharmacokinetics. 39. 100394–100394. 7 indexed citations

13.

Kamiya, Yusuke, Tomonori Miura, Kazuki Shigeta, et al.. (2021). In Silico Prediction of Input Parameters for Simplified Physiologically Based Pharmacokinetic Models for Estimating Plasma, Liver, and Kidney Exposures in Rats after Oral Doses of 246 Disparate Chemicals. Chemical Research in Toxicology. 34(2). 507–513. 35 indexed citations

14.

Utoh, Masahiro, Takahiro Yoshikawa, Yoshiharu Hayashi, et al.. (2015). Slow R-warfarin 7-hydroxylation mediated by P450 2C19 genetic variants in cynomolgus monkeys in vivo. Biochemical Pharmacology. 95(2). 110–114. 21 indexed citations

15.

Utoh, Masahiro, Norie Murayama, Yasuhiro Uno, et al.. (2013). Monkey liver cytochrome P450 2C9 is involved in caffeine 7-N-demethylation to form theophylline. Xenobiotica. 43(12). 1037–1042. 12 indexed citations

16.

Yamazaki, Hiroshi, Hiroshi Suemizu, Makiko Shimizu, et al.. (2011). In Vivo Formation of a Glutathione Conjugate Derived from Thalidomide in Humanized uPA-NOG Mice. Chemical Research in Toxicology. 24(3). 287–289. 28 indexed citations

17.

Satsu, Hideo, et al.. (2010). Study of the regulation of drug metabolizing enzymes by soybean ingredients in intestinal epithelial cells. 13(31). 79–84. 1 indexed citations

18.

Yamazaki, Hiroshi, et al.. (2006). Rat Cytochrome P450 2C11 in Liver Microsomes Involved in Oxidation of Anesthetic Agent Propofol and Deactivated by Prior Treatment with Propofol. Drug Metabolism and Disposition. 34(11). 1803–1805. 25 indexed citations

19.

Noguchi, Emiko, Yukako Yokouchi, Jiang Zhang, et al.. (2005). Positional Identification of an Asthma Susceptibility Gene on Human Chromosome 5q33. American Journal of Respiratory and Critical Care Medicine. 172(2). 183–188. 55 indexed citations

20.

Akiyama, Tadakazu, Makiko Shimizu, Tatsuya Tamaoki, et al.. (1999). Decrease in susceptibility toward induction of apoptosis and alteration in G1 checkpoint function as determinants of resistance of human lung cancer cells against the antisignaling drug UCN-01 (7-Hydroxystaurosporine).. PubMed. 59(17). 4406–12. 30 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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