Keiji Miyata

3.1k total citations
139 papers, 2.5k citations indexed

About

Keiji Miyata is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Keiji Miyata has authored 139 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 28 papers in Surgery and 28 papers in Physiology. Recurrent topics in Keiji Miyata's work include Neuropeptides and Animal Physiology (17 papers), Urinary Bladder and Prostate Research (16 papers) and Receptor Mechanisms and Signaling (14 papers). Keiji Miyata is often cited by papers focused on Neuropeptides and Animal Physiology (17 papers), Urinary Bladder and Prostate Research (16 papers) and Receptor Mechanisms and Signaling (14 papers). Keiji Miyata collaborates with scholars based in Japan, Norway and United States. Keiji Miyata's co-authors include Masao Sasamata, Seiji Kobayashi, Ken‐ichi Ikeda, Masashi Ukai, Shuichi Sato, Kazuo Honda, Hiroyuki Ito, Toshimitsu Yamada, Akiyoshi Ohtake and Toshiyuki Takasu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Keiji Miyata

134 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiji Miyata Japan 28 691 670 465 388 386 139 2.5k
Masao Sasamata Japan 30 1.5k 2.1× 622 0.9× 607 1.3× 491 1.3× 339 0.9× 102 3.6k
Tetsufumi Ito Japan 36 1.2k 1.8× 448 0.7× 577 1.2× 1.1k 2.9× 364 0.9× 129 4.4k
Masaki Yoshida Japan 27 437 0.6× 1.6k 2.3× 727 1.6× 644 1.7× 958 2.5× 100 3.1k
Kazuo Honda Japan 35 1.3k 1.9× 432 0.6× 383 0.8× 405 1.0× 163 0.4× 192 3.7k
Pradeep Tyagi United States 37 677 1.0× 3.0k 4.4× 978 2.1× 372 1.0× 1.4k 3.7× 206 4.5k
Shoichi Ueda Japan 24 591 0.9× 573 0.9× 248 0.5× 709 1.8× 242 0.6× 111 3.0k
Li Zhang China 33 1.8k 2.6× 371 0.6× 579 1.2× 265 0.7× 211 0.5× 222 3.8k
Stephen A. Zderic United States 35 957 1.4× 2.1k 3.1× 214 0.5× 229 0.6× 609 1.6× 203 3.9k
Bing Chen China 33 949 1.4× 122 0.2× 622 1.3× 940 2.4× 102 0.3× 116 3.9k

Countries citing papers authored by Keiji Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Miyata

This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Miyata. A scholar is included among the top collaborators of Keiji Miyata 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 Keiji Miyata. Keiji Miyata 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.
Abe, Takuya, et al.. (2021). Vertebrate CTF18 and DDX11 essential function in cohesion is bypassed by preventing WAPL-mediated cohesin release. Genes & Development. 35(19-20). 1368–1382. 21 indexed citations
2.
Umezawa, Masakazu, Kyohei Okubo, Karina Nigoghossian, et al.. (2020). Stabilization of indocyanine green dye in polymeric micelles for NIR-II fluorescence imaging and cancer treatment. Biomaterials Science. 8(8). 2245–2254. 46 indexed citations
3.
Okubo, Kyohei, Masakazu Umezawa, Karina Nigoghossian, et al.. (2020). Energy Transfer Between Rare Earth-doped Ceramic Nanoparticles for Gauging Strain and Temperature in Elastic Polymers. Journal of Photopolymer Science and Technology. 33(1). 129–137. 2 indexed citations
4.
Umezawa, Masakazu, et al.. (2019). Biological Deep Temperature Imaging with Fluorescence Lifetime of Rare-Earth-Doped Ceramics Particles in the Second NIR Biological Window. Scientific Reports. 9(1). 12806–12806. 60 indexed citations
5.
Abe, Takuya, Michele Giannattasio, Sabrina Dusi, et al.. (2018). AND-1 fork protection function prevents fork resection and is essential for proliferation. Nature Communications. 9(1). 3091–3091. 37 indexed citations
6.
Momose, Kazuhiro, et al.. (2011). Effects of Interleukin-11 on the Hematopoietic Action of Granulocyte Colony-stimulating Factor. Arzneimittelforschung. 52(11). 857–861. 1 indexed citations
7.
Ohtake, Akiyoshi, et al.. (2009). . Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 40(5). 213–219. 1 indexed citations
8.
Kokubo, Satoshi, Kazutoshi Nozaki, Shinji Fukushima, et al.. (2004). Synergism Between Interleukin-11 and Bone Morphogenetic Protein-2 in the Healing of Segmental Bone Defects in a Rabbit Model. Journal of Interferon & Cytokine Research. 24(6). 343–349. 24 indexed citations
9.
10.
11.
Maruyama, Hitoshi, et al.. (2004). Different behaviors of microbubbles in the liver: Time-related quantitative analysis of two ultrasound contrast agents, Levovist® and Definity®. Ultrasound in Medicine & Biology. 30(8). 1035–1040. 19 indexed citations
12.
Kokubo, Satoshi, et al.. (2003). Interleukin-11 Acts Synergistically with Bone Morphogenetic Protein-2 to Accelerate Bone Formation in a Rat Ectopic Model. Journal of Interferon & Cytokine Research. 23(4). 203–207. 18 indexed citations
13.
Terai, Kazuhiro, Masanori Suzuki, Masao Sasamata, et al.. (2003). Effect of AMPA receptor antagonist YM872 on cerebral hematoma size and neurological recovery in the intracerebral hemorrhage rat model. European Journal of Pharmacology. 467(1-3). 95–101. 10 indexed citations
14.
Nagakura, Yukinori, et al.. (2002). The effect of the selective 5-HT3 receptor agonist on ferret gut motility. Life Sciences. 71(11). 1313–1319. 14 indexed citations
15.
Funatsu, Toshiyuki, Hirotoshi Kakuta, Toshiyuki Takasu, & Keiji Miyata. (2002). Atorvastatin increases hepatic fatty acid beta-oxidation in sucrose-fed rats: comparison with an MTP inhibitor. European Journal of Pharmacology. 455(2-3). 161–167. 16 indexed citations
16.
Fukushima, Shinji, et al.. (2001). Interleukin-11 Induces Osteoblast Differentiation and Acts Synergistically with Bone Morphogenetic Protein-2 in C3H10T1/2 Cells. Journal of Interferon & Cytokine Research. 21(9). 695–707. 45 indexed citations
17.
18.
Okamiya, Hideaki, et al.. (2000). Thrombopoietic Activity of Recombinant Human Interleukin-11 in Nonhuman Primates with ACNU-Induced Thrombocytopenia. Journal of Interferon & Cytokine Research. 20(6). 539–545. 3 indexed citations
19.
Tanaka, Hideyuki, et al.. (1999). Inhibition of sterol synthesis and lipid reduction by YM548, a novel HMG–CoA reductase inhibitor.. The Japanese Journal of Pharmacology. 79. 187–187. 1 indexed citations
20.
Ohta, Mitsuaki, Takeshi Suzuki, Junya Ohmori, et al.. (1996). Novel 5-Hydroxytryptamine (5-HT3) Receptor Antagonists. II. Synthesis and Structure-Activity Relationships of 4,5,6,7-Tetrahydro-1H-benzimidazole Derivatives.. Chemical and Pharmaceutical Bulletin. 44(5). 1000–1008. 9 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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