Shinya Kasai

2.2k total citations
59 papers, 1.6k citations indexed

About

Shinya Kasai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Shinya Kasai has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 23 papers in Physiology. Recurrent topics in Shinya Kasai's work include Neuropeptides and Animal Physiology (16 papers), Pain Mechanisms and Treatments (16 papers) and Pain Management and Opioid Use (12 papers). Shinya Kasai is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Pain Mechanisms and Treatments (16 papers) and Pain Management and Opioid Use (12 papers). Shinya Kasai collaborates with scholars based in Japan, United States and Pakistan. Shinya Kasai's co-authors include Kazutaka Ikeda, Daisuke Nishizawa, Masakazu Hayashida, Junko Hasegawa, Ichiro Sora, Yukio Takamatsu, Ken‐ichi Fukuda, Kazuo Nagai, Je‐Tae Woo and Norio Nakatsuji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Shinya Kasai

58 papers receiving 1.6k citations

Peers

Shinya Kasai
Kelley F. Kitto United States
John R. Grothusen United States
Shuanglin Hao United States
Alexander Chamessian United States
Sangsu Bang United States
Yanli Qiao United States
Xueying Jiang United States
Shinya Kasai
Citations per year, relative to Shinya Kasai Shinya Kasai (= 1×) peers Jean‐Benoît Corcuff

Countries citing papers authored by Shinya Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Kasai. A scholar is included among the top collaborators of Shinya Kasai 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 Shinya Kasai. Shinya Kasai 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.
Aoki, Yoshinori, Daisuke Nishizawa, Seii Ohka, et al.. (2023). Rs11726196 Single-Nucleotide Polymorphism of the Transient Receptor Potential Canonical 3 (TRPC3) Gene Is Associated with Chronic Pain. International Journal of Molecular Sciences. 24(2). 1028–1028. 3 indexed citations
2.
Nishizawa, Daisuke, Hideyuki Nakagawa, Shigeki Yamaguchi, et al.. (2023). Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy. International Journal of Molecular Sciences. 24(9). 8421–8421. 1 indexed citations
3.
Kashii, Hirofumi, Shinya Kasai, Atsushi Sato, et al.. (2023). Tsc2 mutation rather than Tsc1 mutation dominantly causes a social deficit in a mouse model of tuberous sclerosis complex. Human Genomics. 17(1). 4–4. 7 indexed citations
4.
Kasai, Shinya, Daisuke Nishizawa, Junko Hasegawa, et al.. (2022). Short Tandem Repeat Variation in the CNR1 Gene Associated With Analgesic Requirements of Opioids in Postoperative Pain Management. Frontiers in Genetics. 13. 815089–815089. 4 indexed citations
5.
Ishikawa, Tatsuya, et al.. (2021). Antinociceptive effects of the combined use of butorphanol and buprenorphine in mice. Neuropsychopharmacology Reports. 41(4). 522–525. 2 indexed citations
6.
Takahashi, Kaori, Daisuke Nishizawa, Shinya Kasai, et al.. (2018). Genome-wide association study identifies polymorphisms associated with the analgesic effect of fentanyl in the preoperative cold pressor-induced pain test. Journal of Pharmacological Sciences. 136(3). 107–113. 8 indexed citations
7.
Tanaka, Miho, Atsushi Sato, Shinya Kasai, et al.. (2018). Brain hyperserotonemia causes autism-relevant social deficits in mice. Molecular Autism. 9(1). 60–60. 38 indexed citations
8.
Aoki, Yoshinori, Kaori Yoshida, Daisuke Nishizawa, et al.. (2014). Factors that Affect Intravenous Patient-Controlled Analgesia for Postoperative Pain Following Orthognathic Surgery for Mandibular Prognathism. PLoS ONE. 9(6). e98548–e98548. 15 indexed citations
9.
Hagino, Yoko, Shinya Kasai, Masayo Fujita, et al.. (2014). Involvement of Cholinergic System in Hyperactivity in Dopamine-Deficient Mice. Neuropsychopharmacology. 40(5). 1141–1150. 30 indexed citations
11.
Kasai, Shinya, Hideko Yamamoto, George R. Uhl, et al.. (2011). Quantitative Detection of μ Opioid Receptor: Western Blot Analyses Using µ Opioid Receptor Knockout Mice. Current Neuropharmacology. 9(1). 219–222. 11 indexed citations
12.
Han, Wenhua, Yukio Takamatsu, Hideko Yamamoto, et al.. (2011). Inhibitory Role of Inducible cAMP Early Repressor (ICER) in Methamphetamine-Induced Locomotor Sensitization. PLoS ONE. 6(6). e21637–e21637. 11 indexed citations
13.
Hagino, Yoko, Shinya Kasai, Wenhua Han, et al.. (2010). Essential Role of NMDA Receptor Channel ε4 Subunit (GluN2D) in the Effects of Phencyclidine, but Not Methamphetamine. PLoS ONE. 5(10). e13722–e13722. 41 indexed citations
14.
Fukuda, Ken‐ichi, Masakazu Hayashida, Soichiro Ide, et al.. (2009). Association between OPRM1 gene polymorphisms and fentanyl sensitivity in patients undergoing painful cosmetic surgery. Pain. 147(1). 194–201. 109 indexed citations
15.
Hayashida, Masakazu, Makoto Nagashima, Yasuo Satoh, et al.. (2008). Analgesic Requirements After Major Abdominal Surgery are Associated with OPRM1 Gene Polymorphism Genotype and Haplotype. Pharmacogenomics. 9(11). 1605–1616. 114 indexed citations
16.
Kasai, Shinya, Wenhua Han, Harumi Hata, et al.. (2008). Association of morphine-induced antinociception with variations in the 5′ flanking and 3′ untranslated regions of the μ opioid receptor gene in 10 inbred mouse strains. Pharmacogenetics and Genomics. 18(11). 927–936. 16 indexed citations
17.
Kasai, Shinya, Masakazu Hayashida, Ichiro Sora, & Kazutaka Ikeda. (2007). Candidate gene polymorphisms predicting individual sensitivity to opioids. Naunyn-Schmiedeberg s Archives of Pharmacology. 377(4-6). 269–281. 28 indexed citations
18.
Han, Wenhua, Shinya Kasai, Harumi Hata, et al.. (2006). Intracisternal A-particle element in the 3′ noncoding region of the mu-opioid receptor gene in CXBK mice: a new genetic mechanism underlying differences in opioid sensitivity. Pharmacogenetics and Genomics. 16(6). 451–460. 25 indexed citations
19.
Ide, Soichiro, Wenhua Han, Shinya Kasai, et al.. (2005). Characterization of the 3′ untranslated region of the human mu-opioid receptor (MOR-1) mRNA. Gene. 364. 139–145. 26 indexed citations
20.
Nakagawa, Hiroshi, Masaaki Wachi, Je‐Tae Woo, et al.. (2002). Fenton Reaction Is Primarily Involved in a Mechanism of (−)-Epigallocatechin-3-gallate to Induce Osteoclastic Cell Death. Biochemical and Biophysical Research Communications. 292(1). 94–101. 141 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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