Mitsuhiko Miyamura

1.6k total citations
81 papers, 1.3k citations indexed

About

Mitsuhiko Miyamura is a scholar working on Pharmacology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mitsuhiko Miyamura has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pharmacology, 20 papers in Molecular Biology and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Mitsuhiko Miyamura's work include Pharmacological Effects of Natural Compounds (13 papers), Tea Polyphenols and Effects (8 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Mitsuhiko Miyamura is often cited by papers focused on Pharmacological Effects of Natural Compounds (13 papers), Tea Polyphenols and Effects (8 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). Mitsuhiko Miyamura collaborates with scholars based in Japan, China and United States. Mitsuhiko Miyamura's co-authors include Saburo Yoshioka, Yutaka Nishioka, Shojiro Kyotani, Junko Yokota, Atsuhide Hamada, Kohei Jobu, Masahiko Kusunose, Toshiaki Tomimatsu, Toshihiro Nohara and Kei Kawada and has published in prestigious journals such as PLoS ONE, Cancer and Food Chemistry.

In The Last Decade

Mitsuhiko Miyamura

80 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuhiko Miyamura Japan 20 462 210 195 158 143 81 1.3k
Maryam Rameshrad Iran 23 550 1.2× 284 1.4× 214 1.1× 116 0.7× 55 0.4× 59 1.7k
Shiwen Zhou China 20 546 1.2× 170 0.8× 199 1.0× 102 0.6× 61 0.4× 39 1.6k
Sanaa A. Kenawy Egypt 24 420 0.9× 223 1.1× 171 0.9× 121 0.8× 92 0.6× 80 1.7k
Tomonori Nakamura Japan 23 399 0.9× 231 1.1× 215 1.1× 113 0.7× 132 0.9× 114 1.6k
Amira M. Abo‐Youssef Egypt 20 326 0.7× 157 0.7× 129 0.7× 83 0.5× 78 0.5× 70 1.2k
Guo Yu China 23 577 1.2× 177 0.8× 128 0.7× 85 0.5× 88 0.6× 97 1.5k
Xin Jin China 25 754 1.6× 129 0.6× 187 1.0× 138 0.9× 84 0.6× 69 2.0k
Md. Wasim Khan India 20 397 0.9× 157 0.7× 156 0.8× 77 0.5× 67 0.5× 61 1.2k
Gomaa Mostafa‐Hedeab Egypt 22 431 0.9× 133 0.6× 138 0.7× 95 0.6× 54 0.4× 68 1.3k
Amir Hossein Doustimotlagh Iran 19 299 0.6× 221 1.1× 173 0.9× 71 0.4× 58 0.4× 74 1.1k

Countries citing papers authored by Mitsuhiko Miyamura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiko Miyamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiko Miyamura

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiko Miyamura. A scholar is included among the top collaborators of Mitsuhiko Miyamura 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 Mitsuhiko Miyamura. Mitsuhiko Miyamura 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.
Ishida, Tomoaki, et al.. (2023). Exosome-like nanoparticles derived from Allium tuberosum prevent neuroinflammation in microglia-like cells. Journal of Pharmacy and Pharmacology. 75(10). 1322–1331. 36 indexed citations
2.
Ishida, Tomoaki, et al.. (2023). Risk Factors for Anticancer Drug-Induced Hyponatremia: An Analysis Using the Japanese Adverse Drug Report (JADER) Database. Medicina. 59(1). 166–166. 1 indexed citations
3.
Ohnishi, Hiroshi, et al.. (2022). An Investigation into the Factors Associated with Incorrect Use of a Pressurized Metered-Dose Inhaler in Japanese Patients. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 36(1). 12–19. 3 indexed citations
4.
Kawada, Kei, et al.. (2022). Adverse Reaction Profiles Related to Gastrointestinal Bleeding Events Associated with BCR-ABL Tyrosine Kinase Inhibitors. Medicina. 58(10). 1495–1495. 1 indexed citations
5.
Baba, Nobuyasu, Yuan Shen, Mitsuhiko Miyamura, et al.. (2019). Induction of regional chemokine expression in response to human umbilical cord blood cell infusion in the neonatal mouse ischemia-reperfusion brain injury model. PLoS ONE. 14(9). e0221111–e0221111. 15 indexed citations
6.
Ishida, Tomoaki, et al.. (2018). Juzentaihoto hot water extract alleviates muscle atrophy and improves motor function in streptozotocin-induced diabetic oxidative stress mice. Journal of Natural Medicines. 73(1). 202–209. 7 indexed citations
7.
Shirakawa, Naoki, et al.. (2017). Effect of Minerals on Intestinal IgA Production Using Deep Sea Water Drinks. Biological and Pharmaceutical Bulletin. 40(10). 1700–1705. 3 indexed citations
9.
Matsui, Nobuaki, Ayumu Hirata, Yusuke Yagi, et al.. (2016). Bangle ( Zingiber purpureum ) Improves Spatial Learning, Reduces Deficits in Memory, and Promotes Neurogenesis in the Dentate Gyrus of Senescence-Accelerated Mouse P8. Journal of Medicinal Food. 19(5). 435–441. 10 indexed citations
10.
Arata, Naoko, Makoto Komura, Yasuhiro Shimada, et al.. (2015). <b>A Proposal of New Prescription Drug Labeling </b>. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 46(2). 55–63.
11.
Ogawa, Yasuhiro, Kei Kubota, Shinji Kariya, et al.. (2015). Non-Surgical Breast-Conserving Treatment (KORTUC-BCT) Using a New Radiosensitization Method (KORTUC II) for Patients with Stage I or II Breast Cancer. Cancers. 7(4). 2277–2289. 18 indexed citations
13.
Hirata, Ayumu, Yusuke Yagi, Kohei Jobu, et al.. (2015). Swallowing Function Improvement Effect of Ginger <i>(Zingiber officinale)</i>. Food Science and Technology Research. 21(5). 705–714. 5 indexed citations
15.
Yokota, Junko, et al.. (2011). Effect of Goishi-tea on Adipocytokine Changes. Nippon Shokuhin Kagaku Kogaku Kaishi. 58(8). 398–402. 5 indexed citations
16.
Inoue, Keiji, Hideo Fukuhara, Masayuki Kamada, et al.. (2011). Comparison between intravesical and oral administration of 5‐aminolevulinic acid in the clinical benefit of photodynamic diagnosis for nonmuscle invasive bladder cancer. Cancer. 118(4). 1062–1074. 109 indexed citations
17.
Ogawa, Yasuhiro, et al.. (2010). Improvement of Injection Procedure for Epirubicin Hydrochloride to Reduce Venous Pain. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 36(9). 680–683. 1 indexed citations
18.
Yokota, Junko, Kohei Jobu, Atsuhide Hamada, et al.. (2010). Eriobotrya japonica seed extract and deep sea water protect against indomethacin-induced gastric mucosal injury in rats. Journal of Natural Medicines. 65(1). 9–17. 6 indexed citations
19.
Yokota, Junko, Atsuhide Hamada, Saburo Yoshioka, et al.. (2005). Effects of Eriobotrya japonica Seed Extract in a Model Rat of Lipopolysaccharide-induced Inflammation. Nippon Shokuhin Kagaku Kogaku Kaishi. 52(2). 88–93. 3 indexed citations
20.
Nishioka, Yutaka, et al.. (1996). A Study on Ethical Kampo Formulation Medicines. Contents of Acffve Ingredients of Ethical Kakkon-to and Sho-seiryu-to Extract Preparations.. Japanese Journal of Hospital Pharmacy. 22(5). 473–481. 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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