Miyuki Kimura

3.4k total citations
88 papers, 2.7k citations indexed

About

Miyuki Kimura is a scholar working on Oncology, Pharmacology and Infectious Diseases. According to data from OpenAlex, Miyuki Kimura has authored 88 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 23 papers in Pharmacology and 16 papers in Infectious Diseases. Recurrent topics in Miyuki Kimura's work include Pharmacogenetics and Drug Metabolism (22 papers), Drug Transport and Resistance Mechanisms (20 papers) and Pharmacological Effects and Toxicity Studies (13 papers). Miyuki Kimura is often cited by papers focused on Pharmacogenetics and Drug Metabolism (22 papers), Drug Transport and Resistance Mechanisms (20 papers) and Pharmacological Effects and Toxicity Studies (13 papers). Miyuki Kimura collaborates with scholars based in Japan, United States and Australia. Miyuki Kimura's co-authors include Ichiro Ieiri, Shun Higuchi, Shin Irie, Akinori Urae, Yuichi Sugiyama, Akihiro Wada, Toshiya Hirayama, Hiroyuki Kusuhara, Kazuya Maeda and Kohsuke Mamiya and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Miyuki Kimura

86 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miyuki Kimura Japan 29 928 700 669 531 465 88 2.7k
Noboru Okamura Japan 32 1.4k 1.5× 451 0.6× 410 0.6× 780 1.5× 1.0k 2.2× 142 3.8k
Antonius E. van Herwaarden Netherlands 28 1.3k 1.4× 430 0.6× 386 0.6× 713 1.3× 883 1.9× 101 3.2k
Bruno Lacarelle France 35 1.2k 1.3× 508 0.7× 206 0.3× 364 0.7× 951 2.0× 169 3.7k
Isabelle Fabre France 26 738 0.8× 1.0k 1.5× 126 0.2× 375 0.7× 599 1.3× 75 2.7k
Johanna Weiß Germany 34 1.8k 1.9× 807 1.2× 365 0.5× 932 1.8× 1.1k 2.3× 167 4.4k
Iñaki F. Trocóniz Spain 31 887 1.0× 298 0.4× 254 0.4× 263 0.5× 756 1.6× 187 3.6k
Ulrika S. H. Simonsson Sweden 29 354 0.4× 431 0.6× 289 0.4× 368 0.7× 459 1.0× 114 2.6k
Wolfgang Jacobsen United States 24 566 0.6× 518 0.7× 522 0.8× 485 0.9× 340 0.7× 37 2.3k
In‐Wha Kim South Korea 28 1.6k 1.7× 354 0.5× 401 0.6× 683 1.3× 1.9k 4.2× 90 4.4k
D. Kim Turgeon United States 32 1.4k 1.5× 895 1.3× 679 1.0× 489 0.9× 1.1k 2.3× 79 3.9k

Countries citing papers authored by Miyuki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Miyuki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Kimura. A scholar is included among the top collaborators of Miyuki Kimura 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 Miyuki Kimura. Miyuki Kimura 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.
Sano, Kaori, et al.. (2024). Characterization of antibodies targeting severe fever with thrombocytopenia syndrome virus glycoprotein Gc. Archives of Virology. 169(3). 40–40. 2 indexed citations
2.
3.
Kimura, Miyuki, Satoshi Taniguchi, Junki Maruyama, et al.. (2023). Inhibitors of cannabinoid receptor 1 suppress the cellular entry of Lujo virus. Virology. 587. 109867–109867. 2 indexed citations
4.
5.
Maeda, T, Miyuki Kimura, Hiroshi Ito, et al.. (2022). Bovine lactoferrin increases the poly(I:C)-induced antiviral response in vitro. Biochemistry and Cell Biology. 100(4). 338–348. 6 indexed citations
6.
Yamada, Hiroshi, Satoshi Taniguchi, Masayuki Shimojima, et al.. (2021). M Segment-Based Minigenome System of Severe Fever with Thrombocytopenia Syndrome Virus as a Tool for Antiviral Drug Screening. Viruses. 13(6). 1061–1061. 5 indexed citations
7.
Tani, Hideki, Miyuki Kimura, Long Tan, et al.. (2021). Evaluation of SARS-CoV-2 neutralizing antibodies using a vesicular stomatitis virus possessing SARS-CoV-2 spike protein. Virology Journal. 18(1). 16–16. 37 indexed citations
8.
Kawasuji, Hitoshi, Yoshitomo Morinaga, Hideki Tani, et al.. (2021). Delayed neutralizing antibody response in the acute phase correlates with severe progression of COVID-19. Scientific Reports. 11(1). 16535–16535. 8 indexed citations
9.
Kimura, Miyuki, Tatsuhiko Ozawa, Hiroyuki Kishi, et al.. (2020). Characterization of pseudotyped vesicular stomatitis virus bearing the heartland virus envelope glycoprotein. Virology. 556. 124–132. 11 indexed citations
10.
Tani, Hideki, Miyuki Kimura, Hiroshi Yamada, et al.. (2020). Activation of platelet-derived growth factor receptor β in the severe fever with thrombocytopenia syndrome virus infection. Antiviral Research. 182. 104926–104926. 3 indexed citations
11.
Tani, Hideki, Miyuki Kimura, Satoshi Taniguchi, et al.. (2019). Identification of the amino acid residue important for fusion of severe fever with thrombocytopenia syndrome virus glycoprotein. Virology. 535. 102–110. 17 indexed citations
12.
Hirota, Takeshi, Toshio Kubota, Miyuki Kimura, et al.. (2018). Effects of magnesium oxide on pharmacokinetics of L-dopa/carbidopa and assessment of pharmacodynamic changes by a model-based simulation. European Journal of Clinical Pharmacology. 75(3). 351–361. 9 indexed citations
13.
Sasaki, T., Takeshi Hirota, Daisuke Kobayashi, et al.. (2011). Systematic Screening of Human ABCC3 Polymorphisms and Their Effects on MRP3 Expression and Function. Drug Metabolism and Pharmacokinetics. 26(4). 374–386. 12 indexed citations
14.
Watanabe, Yohei, et al.. (2009). Evaluation of errors influencing accuracy in image-guided neurosurgery. Radiological Physics and Technology. 2(2). 120–125. 16 indexed citations
15.
Ieiri, Ichiro, Miyuki Kimura, Kiyoshi Kawabata, et al.. (2008). Pharmacokinetic interaction between pravastatin and olmesartan in relation to SLCO1B1 polymorphism. Journal of Human Genetics. 53(10). 899–904. 29 indexed citations
16.
Hamada, Akinobu, Akemi Tomoda, Shigehiro Ohdo, et al.. (2005). Daily expression of clock genes in whole blood cells in healthy subjects and a patient with circadian rhythm sleep disorder. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 289(5). R1273–R1279. 63 indexed citations
17.
Nakayama, Masaaki, Miyuki Kimura, Akihiro Wada, et al.. (2004). Helicobacter pylori VacA Activates the p38/Activating Transcription Factor 2-mediated Signal Pathway in AZ-521 Cells. Journal of Biological Chemistry. 279(8). 7024–7028. 74 indexed citations
18.
Morita, Jun, Kaoru Kobayashi, Miyuki Kimura, et al.. (2004). A Novel Single Nucleotide Polymorphism (SNP) of the CYP2C19 Gene in a Japanese Subject with Lowered Capacity of Mephobarbital 4′-Hydroxylation. Drug Metabolism and Pharmacokinetics. 19(3). 236–238. 26 indexed citations
19.
Hirayama, Toshiya, Akihiro Wada, Kinnosuke Yahiro, Miyuki Kimura, & Takahiro Kimura. (2002). <i>Helicobacter pylori</i> Vacuolating Cytotoxin, VacA. Japanese Journal of Infectious Diseases. 55(1). 1–5. 1 indexed citations
20.
Kimura, Miyuki, et al.. (1983). [Measurement of four chambers' volumes and ventricular masses by cardiac CT examination].. PubMed. 13(3). 605–15. 2 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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