Miki Nakajima

13.4k total citations
267 papers, 11.0k citations indexed

About

Miki Nakajima is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Miki Nakajima has authored 267 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Pharmacology, 112 papers in Molecular Biology and 81 papers in Oncology. Recurrent topics in Miki Nakajima's work include Pharmacogenetics and Drug Metabolism (122 papers), Drug Transport and Resistance Mechanisms (69 papers) and Drug-Induced Hepatotoxicity and Protection (51 papers). Miki Nakajima is often cited by papers focused on Pharmacogenetics and Drug Metabolism (122 papers), Drug Transport and Resistance Mechanisms (69 papers) and Drug-Induced Hepatotoxicity and Protection (51 papers). Miki Nakajima collaborates with scholars based in Japan, United States and China. Miki Nakajima's co-authors include Tsuyoshi Yokoi, Tatsuki Fukami, Yuki Tsuchiya, Miki Katoh, Shingo Takagi, Hiroyuki Yamanaka, Hiroshi Yamazaki, Ryoichi Fujiwara, Masataka Nakano and Shingo Oda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Miki Nakajima

263 papers receiving 10.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miki Nakajima Japan 60 4.7k 4.5k 3.0k 2.0k 1.1k 267 11.0k
Tsuyoshi Yokoi Japan 67 7.2k 1.5× 6.2k 1.4× 4.8k 1.6× 2.1k 1.0× 1.6k 1.4× 369 16.2k
Olavi Pelkonen Finland 61 6.4k 1.4× 3.9k 0.9× 2.8k 0.9× 1.9k 1.0× 988 0.9× 291 13.2k
Jeffrey R. Idle United Kingdom 70 6.4k 1.4× 6.4k 1.4× 3.3k 1.1× 1.7k 0.9× 1.0k 0.9× 270 15.7k
Robert H. Tukey United States 52 4.5k 0.9× 3.9k 0.9× 2.5k 0.8× 1.1k 0.6× 622 0.5× 166 9.6k
Yasushi Yamazoe Japan 53 5.0k 1.1× 3.7k 0.8× 2.4k 0.8× 1.8k 0.9× 792 0.7× 313 9.7k
Jürgen Brockmöller Germany 65 5.1k 1.1× 4.0k 0.9× 4.0k 1.3× 1.0k 0.5× 1.6k 1.4× 236 13.8k
Thomas K. H. Chang United States 59 6.4k 1.4× 3.9k 0.9× 3.0k 1.0× 1.1k 0.6× 732 0.6× 222 12.1k
Edward L. LeCluyse United States 58 4.5k 0.9× 3.0k 0.7× 3.2k 1.1× 589 0.3× 615 0.5× 135 11.3k
Tetsuya Kamataki Japan 56 7.9k 1.7× 5.5k 1.2× 4.0k 1.3× 2.0k 1.0× 1.1k 0.9× 364 13.7k
Hannu Raunio Finland 51 4.3k 0.9× 3.0k 0.7× 2.2k 0.7× 1.0k 0.5× 657 0.6× 168 8.6k

Countries citing papers authored by Miki Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Miki Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Nakajima. A scholar is included among the top collaborators of Miki Nakajima 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 Miki Nakajima. Miki Nakajima 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
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Nakano, Masataka, Masato Tomii, Yuichiro Higuchi, et al.. (2025). Switch/sucrose non-fermentable complex interacts with constitutive androstane receptor to regulate drug-metabolizing enzymes and transporters in the liver. Drug Metabolism and Disposition. 53(4). 100057–100057.
3.
Nakano, Masataka, et al.. (2024). A novel aptamer-antibody sandwich electrochemical sensor for detecting ADAR1 in complex biological samples. Biosensors and Bioelectronics X. 19. 100491–100491. 2 indexed citations
4.
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Fukami, Tatsuki, Naoki Ishiguro, Wataru Kishimoto, et al.. (2023). Quantitative Analysis of mRNA and Protein Expression Levels of Aldo-Keto Reductase and Short-Chain Dehydrogenase/Reductase Isoforms in the Human Intestine. Drug Metabolism and Disposition. 51(12). 1569–1577. 5 indexed citations
6.
Shimizu, Mai, et al.. (2023). Utility of a Systematic Approach to Selecting Candidate Prodrugs: A Case Study Using Candesartan Ester Analogues. Journal of Pharmaceutical Sciences. 112(6). 1671–1680. 3 indexed citations
7.
Fukami, Tatsuki, et al.. (2022). Methionine Sulfoxide Reductase A in Human and Mouse Tissues is Responsible for Sulindac Activation, Making a Larger Contribution than the Gut Microbiota. Drug Metabolism and Disposition. 50(5). 725–733. 3 indexed citations
8.
Yamanaka, Hiroyuki, et al.. (2021). Evaluation of lens opacity due to inhibition of cholesterol biosynthesis using rat lens explant cultures. Toxicology. 465. 153064–153064. 4 indexed citations
9.
Cirillo, Francesca, Rosamaria Lappano, Leonardo Bruno, et al.. (2019). AHR and GPER mediate the stimulatory effects induced by 3-methylcholanthrene in breast cancer cells and cancer-associated fibroblasts (CAFs). Journal of Experimental & Clinical Cancer Research. 38(1). 335–335. 35 indexed citations
10.
Nakano, Masataka, Tatsuki Fukami, & Miki Nakajima. (2019). Adenosine Deaminases Acting on RNA Downregulate the Expression of Constitutive Androstane Receptor in the Human Liver–Derived Cells by Attenuating Splicing. Journal of Pharmacology and Experimental Therapeutics. 370(3). 408–415. 6 indexed citations
11.
Maekawa, Keiko, Masaki Ri, Miki Nakajima, et al.. (2019). Serum lipidomics for exploring biomarkers of bortezomib therapy in patients with multiple myeloma. Cancer Science. 110(10). 3267–3274. 18 indexed citations
12.
Nakano, Masataka, et al.. (2018). miR-141-3p commonly regulates human UGT1A isoforms via different mechanisms. Drug Metabolism and Pharmacokinetics. 33(4). 203–210. 13 indexed citations
13.
Ito, Masahito, Jun Hasegawa, Minoru Tsuda, et al.. (2015). Toxicological evaluation of acyl glucuronides utilizing half-lives, peptide adducts, and immunostimulation assays. 8 indexed citations
14.
Fujiwara, Ryoichi, et al.. (2009). In silico and in vitro Approaches to Elucidate the Thermal Stability of Human UDP-glucuronosyltransferase (UGT) 1A9. Drug Metabolism and Pharmacokinetics. 24(3). 235–244. 26 indexed citations
15.
Akai, S., et al.. (2009). An in vitro drug-induced hepatotoxicity screening system using CYP3A4-expressing and γ-glutamylcysteine synthetase knockdown cells. Toxicology in Vitro. 24(3). 1032–1038. 35 indexed citations
16.
Morita, Mayu, et al.. (2009). Knockdown of superoxide dismutase 2 enhances acetaminophen-induced hepatotoxicity in rat. Toxicology. 264(1-2). 89–95. 23 indexed citations
17.
Nakajima, Miki, Toshihisa Koga, Haruko SAKAI, et al.. (2009). N-Glycosylation plays a role in protein folding of human UGT1A9. Biochemical Pharmacology. 79(8). 1165–1172. 35 indexed citations
18.
Nakajima, Miki, et al.. (2008). Regulation of insulin-like growth factor binding protein-1 and lipoprotein lipase by the aryl hydrocarbon receptor. The Journal of Toxicological Sciences. 33(4). 405–413. 15 indexed citations
19.
Nakajima, Miki, Yukio Kuroiwa, & Tsuyoshi Yokoi. (2002). INTERINDIVIDUAL DIFFERENCES IN NICOTINE METABOLISM AND GENETIC POLYMORPHISMS OF HUMAN CYP2A6. Drug Metabolism Reviews. 34(4). 865–877. 60 indexed citations
20.
Yoshida, Ryoko, Miki Nakajima, Yuki Watanabe, Jun‐Tack Kwon, & Tsuyoshi Yokoi. (2002). Genetic polymorphisms in human CYP2A6 gene causing impaired nicotine metabolism. British Journal of Clinical Pharmacology. 54(5). 511–517. 87 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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