Nobuhito Murai

401 total citations
19 papers, 338 citations indexed

About

Nobuhito Murai is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nobuhito Murai has authored 19 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nobuhito Murai's work include Pain Mechanisms and Treatments (11 papers), Pharmacological Effects of Natural Compounds (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). Nobuhito Murai is often cited by papers focused on Pain Mechanisms and Treatments (11 papers), Pharmacological Effects of Natural Compounds (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). Nobuhito Murai collaborates with scholars based in Japan and United States. Nobuhito Murai's co-authors include Nobuya Matsuoka, Toshiaki Aoki, Hiroko Yamamoto, Takayuki Yamaji, Satoshi Tsuzuki, Toshihiro Sekizawa, Tomonari Watabiki, Hiromasa Oka, Hideki Hiyama and Kuniyo Inouye and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Neuroscience.

In The Last Decade

Nobuhito Murai

19 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuhito Murai Japan 11 152 137 72 44 38 19 338
Jia Zou China 12 100 0.7× 168 1.2× 81 1.1× 35 0.8× 40 1.1× 19 412
Yulia Grishchuk United States 13 117 0.8× 225 1.6× 67 0.9× 44 1.0× 7 0.2× 22 650
Silvia Squillace United States 9 154 1.0× 139 1.0× 75 1.0× 22 0.5× 19 0.5× 11 352
Shao Xia Lin United States 8 74 0.5× 146 1.1× 65 0.9× 31 0.7× 50 1.3× 9 469
Qiuzhi Zhou China 13 205 1.3× 254 1.9× 90 1.3× 70 1.6× 18 0.5× 23 499
Corina Ehnert Germany 11 159 1.0× 118 0.9× 147 2.0× 70 1.6× 28 0.7× 13 372
Yan Tian China 14 111 0.7× 380 2.8× 93 1.3× 40 0.9× 74 1.9× 22 668
Angela Jeong United States 11 135 0.9× 203 1.5× 106 1.5× 33 0.8× 10 0.3× 15 412
Mauro Racaniello Italy 11 91 0.6× 202 1.5× 86 1.2× 13 0.3× 19 0.5× 11 392

Countries citing papers authored by Nobuhito Murai

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhito Murai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhito Murai

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

All Works

19 of 19 papers shown
1.
Murai, Nobuhito, Maisam Mitalipova, & Rudolf Jaenisch. (2020). Functional analysis of CX3CR1 in human induced pluripotent stem (iPS) cell‐derived microglia‐like cells. European Journal of Neuroscience. 52(7). 3667–3678. 17 indexed citations
2.
Murai, Nobuhito, et al.. (2019). A novel GABAB receptor positive allosteric modulator, ASP8062, exerts analgesic effects in a rat model of fibromyalgia. European Journal of Pharmacology. 865. 172750–172750. 24 indexed citations
3.
Ohmichi, Yusuke, Nobuhito Murai, Masaya Yasui, et al.. (2018). Therapeutic effects of diclofenac, pregabalin, and duloxetine on disuse-induced chronic musculoskeletal pain in rats. Scientific Reports. 8(1). 3311–3311. 7 indexed citations
4.
Kawamoto, Yuichiro, et al.. (2017). Identification of potent lysophosphatidic acid receptor 5 (LPA5) antagonists as potential analgesic agents. Bioorganic & Medicinal Chemistry. 26(1). 257–265. 16 indexed citations
5.
Takahashi, Shinji, Kohei Inamura, Junko Yarimizu, et al.. (2017). Neurochemical and neuropharmacological characterization of ASP2905, a novel potent selective inhibitor of the potassium channel KCNH3. European Journal of Pharmacology. 810. 26–35. 10 indexed citations
6.
Murai, Nobuhito, Hideki Hiyama, Tetsuo Kiso, et al.. (2017). Analgesic effects of novel lysophosphatidic acid receptor 5 antagonist AS2717638 in rodents. Neuropharmacology. 126. 97–107. 35 indexed citations
7.
Murai, Nobuhito, et al.. (2015). Spontaneous and evoked pain-associated behaviors in a rat model of neuropathic pain respond differently to drugs with different mechanisms of action. Pharmacology Biochemistry and Behavior. 141. 10–17. 33 indexed citations
8.
Murai, Nobuhito, Hiroshi Fushiki, Yoshiaki Murakami, et al.. (2015). Relationship between serotonin transporter occupancies and analgesic effects of AS1069562, the (+)-isomer of indeloxazine, and duloxetine in reserpine-induced myalgia rats. Neuroscience. 289. 262–269. 13 indexed citations
9.
Murai, Nobuhito, Nobuaki Takeshita, Fusako Nishigaki, et al.. (2015). AS1069562, the (+)-isomer of indeloxazine, exerts analgesic effects in rat models of nociceptive pain. Neurological Research. 37(6). 525–530. 1 indexed citations
11.
Murai, Nobuhito, et al.. (2013). AS1069562, the (+)-Isomer of Indeloxazine, Exerts Analgesic Effects in a Rat Model of Neuropathic Pain with Unique Characteristics in Spinal Monoamine Turnover. Journal of Pharmacology and Experimental Therapeutics. 348(3). 372–382. 16 indexed citations
13.
Yamazaki, Shunji, Takayuki Yamaji, Nobuhito Murai, et al.. (2012). FK1706, a novel non-immunosuppressive immunophilin ligand, modifies gene expression in the dorsal root ganglia during painful diabetic neuropathy. Neurological Research. 34(5). 469–477. 15 indexed citations
14.
Tsuzuki, Satoshi, Nobuhito Murai, Yuka Miyake, Kuniyo Inouye, & Tohru Fushiki. (2010). The Structural Requirements of Matriptase in Its Ectodomain Release in Polarized Epithelial Cells. Bioscience Biotechnology and Biochemistry. 74(6). 1295–1297. 1 indexed citations
15.
Yamamoto, Hiroko, et al.. (2009). Pharmacological characterization of standard analgesics on mechanical allodynia in streptozotocin-induced diabetic rats. Neuropharmacology. 57(4). 403–408. 56 indexed citations
16.
Murai, Nobuhito, Yuka Miyake, Satoshi Tsuzuki, Kuniyo Inouye, & Tohru Fushiki. (2009). Involvement of the cytoplasmic juxtamembrane region of matriptase in its exclusive localization to the basolateral membrane domain of Madin–Darby canine kidney epithelial cells. Cytotechnology. 59(3). 169–176. 9 indexed citations
17.
Yamazaki, Shunji, Takayuki Yamaji, Nobuhito Murai, et al.. (2008). FK1706, a novel non-immunosuppressive immunophilin ligand, modifies the course of painful diabetic neuropathy. Neuropharmacology. 55(7). 1226–1230. 8 indexed citations
18.
Tsuzuki, Satoshi, Nobuhito Murai, Yuka Miyake, et al.. (2005). Evidence for the occurrence of membrane-type serine protease 1/matriptase on the basolateral sides of enterocytes. Biochemical Journal. 388(2). 679–687. 36 indexed citations
19.
Murai, Nobuhito, et al.. (2003). Inhibition of Membrane-Type Serine Protease 1/Matriptase by Natural and Synthetic Protease Inhibitors. Journal of Nutritional Science and Vitaminology. 49(1). 27–32. 26 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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