Masashi Asai

3.0k total citations
47 papers, 1.8k citations indexed

About

Masashi Asai is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Masashi Asai has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Masashi Asai's work include Alzheimer's disease research and treatments (17 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (5 papers). Masashi Asai is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (5 papers). Masashi Asai collaborates with scholars based in Japan, United States and United Kingdom. Masashi Asai's co-authors include Kei Maruyama, Shoichi Ishiura, Takaomi C. Saido, Nobuhisa Iwata, Gohei Yagi, Chinatsu Hattori, Shigenobu Kanba, Noboru Sasagawa, Toshio Nakaki and Futoshi Shintani and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Masashi Asai

46 papers receiving 1.8k citations

Peers

Masashi Asai

PHYSI

PHARM

CMN

Anna M. Barron Singapore

Agnès Petit-Paitel France

Dénes Zádori Hungary

Robert A. Marr United States

Robert N. Pechnick United States

Dominik Feuerbach Switzerland

Jian‐Zhi Wang China

Marco Ávila-Rodriguez Colombia

Carlos Spuch Spain

Rena Li United States

Anna M. Barron Singapore

Masashi Asai

529 ×0.8

PHYSI

403 ×0.7

117 ×0.4

PHARM

314 ×1.2

CMN

246 ×1.0

Citations per year, relative to Masashi Asai Masashi Asai (= 1×) peers Anna M. Barron

Countries citing papers authored by Masashi Asai

Since Specialization

Citations

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

Fields of papers citing papers by Masashi Asai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Asai

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

All Works

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20 of 20 papers shown

Asai, Masashi, et al.. (2024). Induction of the human CDC45 gene promoter activity by natural compound trans‑resveratrol. Molecular Medicine Reports. 29(6). 1 indexed citations

Yagishita, Sosuke, Nan Yagishita-Kyo, Shinji Yamamoto, et al.. (2023). Long term administration of loquat leaves and their major component, ursolic acid, attenuated endogenous amyloid-β burden and memory impairment. Scientific Reports. 13(1). 16770–16770. 1 indexed citations

Yu, Jing, et al.. (2021). Molecular profiling of ginsenoside metabolites to identify estrogen receptor alpha activity. Gene. 813. 146108–146108. 2 indexed citations

Shirotani, Keiro, Kazuya Matsuo, Sumio Ohtsuki, et al.. (2017). A simplified and sensitive method to identify Alzheimer’s disease biomarker candidates using patient-derived induced pluripotent stem cells (iPSCs). The Journal of Biochemistry. 162(6). 391–394. 13 indexed citations

Shirotani, Keiro, Masashi Asai, & Nobuhisa Iwata. (2017). Paradigm shift from diagnosing patients based on common symptoms to categorizing patients into subtypes with different pathogenic mechanisms to guide treatment for Alzheimer’s disease. The Journal of Biochemistry. 161(6). 463–470. 3 indexed citations

Asai, Masashi, Keiro Shirotani, Takayuki Kondo, Haruhisa Inoue, & Nobuhisa Iwata. (2014). Cellular models for individualized medicine in Alzheimer^|^rsquo;s disease using patient-derived induced pluripotent stem cells. Folia Pharmacologica Japonica. 143(1). 23–26. 2 indexed citations

Iwata, Nobuhisa, Misaki Sekiguchi, Masashi Asai, et al.. (2013). Global brain delivery of neprilysin gene by intravascular administration of AAV vector in mice. Scientific Reports. 3(1). 1472–1472. 79 indexed citations

Yahata, Naoki, Masashi Asai, Shiho Kitaoka, et al.. (2011). Anti-Aβ Drug Screening Platform Using Human iPS Cell-Derived Neurons for the Treatment of Alzheimer's Disease. PLoS ONE. 6(9). e25788–e25788. 141 indexed citations

Asai, Masashi, et al.. (2008). 1,3-Capryloyl-2-arachidonoyl glycerol activates α-secretase activity and suppresses Aβ40 secretion in A172 cells. Neuroscience Letters. 450(3). 324–326. 4 indexed citations

10.

Hattori, Chinatsu, Masashi Asai, Noboru Sasagawa, et al.. (2006). BACE1 interacts with lipid raft proteins. Journal of Neuroscience Research. 84(4). 912–917. 78 indexed citations

11.

Kimura, Tooru, Soko Kasai, Ping Liu, et al.. (2004). KMI-358 and KMI-370, highly potent and small-sized BACE1 inhibitors containing phenylnorstatine. Bioorganic & Medicinal Chemistry Letters. 14(6). 1527–1531. 52 indexed citations

12.

Asai, Masashi, Chinatsu Hattori, Beáta Szabó, et al.. (2003). Putative function of ADAM9, ADAM10, and ADAM17 as APP -secretase. Biochemical and Biophysical Research Communications. 301(1). 231–235. 238 indexed citations

13.

Mizushima, Hiroko, Yutaka Ono, & Masashi Asai. (1998). TCI temperamental scores in bulimia nervosa patients and normal women with and without diet experiences. Acta Psychiatrica Scandinavica. 98(3). 228–230. 16 indexed citations

14.

Yamada, Kei, et al.. (1997). BRIEF COMMUNICATION Low superoxide dismutase activity in schizophrenic patients with tardive dyskinesia. Psychological Medicine. 27(5). 1223–1225. 30 indexed citations

15.

Inada, Toshiya, et al.. (1995). Dopamine D3 receptor gene polymorphism and the psychiatric symptoms seen in first-break schizophrenic patients. Psychiatric Genetics. 5(3). 113–116. 20 indexed citations

16.

Watanabe, Yasuhiro, et al.. (1995). Effects of Alcohol Ingestion on Vestibular Function in Postural Control. Acta Oto-Laryngologica. 115(sup519). 127–131. 37 indexed citations

17.

Ohashi, Naoki, et al.. (1990). Difference between Visual Feedback and Visual Suppression upon the Stabilization of Body Sway in Normal Subjects. ORL. 52(4). 226–231. 2 indexed citations

18.

Asai, Masashi. (1989). Drinking driving -- attitudes, knowledge, and behavior patterns of drivers. IATSS Research. 13(2). 7–14. 1 indexed citations

19.

Watanabe, Yukio, et al.. (1987). Prognostic Value of Blink Test in Patients with Facial Paralysis. Acta Oto-Laryngologica. 104(sup446). 70–75. 5 indexed citations

20.

Asai, Masashi, Yuriko Ikeda, & Miwa Nakai. (1980). DRIVER BEHAVIOR AND OPINIONS--AN INTERNATIONAL CROSS CULTURAL STUDY. IATSS Research. 4(1). 34–41. 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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