Ryouta Maeda

429 total citations
9 papers, 355 citations indexed

About

Ryouta Maeda is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryouta Maeda has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryouta Maeda's work include Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Ryouta Maeda is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Ryouta Maeda collaborates with scholars based in Japan and Canada. Ryouta Maeda's co-authors include Aya Kitamoto, Shoichi Masushige, Satoshi Kida, Seiichi Homma, Hideki Takahashi, Hiroaki Fukumoto, Kaneyoshi Kato, Jun Terauchi, Masaomi Miyamoto and Naoki Tarui and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Ryouta Maeda

8 papers receiving 348 citations

Peers

Ryouta Maeda

PHYSI

CMN

PHARM

Sophie Crux Germany

Tessi Sherrin United States

Jeffrey N. Savas United States

Hiroko Tsunekawa Japan

Nadine Crouzin France

Keni Ni Japan

Pascal Kurosinski Switzerland

Susann Ludewig Germany

Chanel J. Taylor Australia

Neta Gazit Israel

Sophie Crux Germany

Ryouta Maeda

165 ×1.1

PHYSI

129 ×0.9

105 ×0.8

CMN

61 ×0.8

PHARM

33 ×0.5

Citations per year, relative to Ryouta Maeda Ryouta Maeda (= 1×) peers Sophie Crux

Countries citing papers authored by Ryouta Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Ryouta Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryouta Maeda

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Arimura, Naoto, Kazunobu Aoyama, Ayumu Sugiura, et al.. (2024). Compound 4f, a novel brain-penetrant reversible monoacylglycerol inhibitor, ameliorates neuroinflammation, neuronal cell loss, and cognitive impairment in mice with kainic acid-induced neurodegeneration. PLoS ONE. 19(11). e0312090–e0312090.

Onishi, Tomohiro, Ryouta Maeda, Michiko Terada, et al.. (2021). A novel orally active HDAC6 inhibitor T-518 shows a therapeutic potential for Alzheimer’s disease and tauopathy in mice. Scientific Reports. 11(1). 15423–15423. 40 indexed citations

Yamasaki, Tomoteru, Tomohiro Ohashi, Ryouta Maeda, et al.. (2021). Design, Synthesis, and Evaluation of ¹¹C-Labeled 3-Acetyl-Indole Derivatives as a Novel Positron Emission Tomography Imaging Agent for Diacylglycerol Kinase Gamma (DGKγ) in Brain. Journal of Medicinal Chemistry. 64(16). 11990–12002. 5 indexed citations

Kurimoto, Emi, Yūji Shimizu, Minoru Nakamura, et al.. (2020). T‐495, a novel low cooperative M₁ receptor positive allosteric modulator, improves memory deficits associated with cholinergic dysfunction and is characterized by low gastrointestinal side effect risk. Pharmacology Research & Perspectives. 8(1). e00560–e00560. 10 indexed citations

Yamamoto, Satoshi, Mitsugu Nakata, Takashi Yano, et al.. (2012). Generation of gene-targeted mice using embryonic stem cells derived from a transgenic mouse model of Alzheimer’s disease. Transgenic Research. 22(3). 537–547. 6 indexed citations

Fukumoto, Hiroaki, Hideki Takahashi, Naoki Tarui, et al.. (2010). A Noncompetitive BACE1 Inhibitor TAK-070 Ameliorates Aβ Pathology and Behavioral Deficits in a Mouse Model of Alzheimer's Disease. Journal of Neuroscience. 30(33). 11157–11166. 106 indexed citations

Takahashi, Hideki, Hiroaki Fukumoto, Ryouta Maeda, et al.. (2010). Ameliorative effects of a non-competitive BACE1 inhibitor TAK-070 on Aβ peptide levels and impaired learning behavior in aged rats. Brain Research. 1361. 146–156. 17 indexed citations

Hasegawa, Shunsuke, Kenichi Kato, Ryouta Maeda, et al.. (2009). Transgenic up-regulation of alpha-CaMKII in forebrain leads to increased anxiety-like behaviors and aggression. Molecular Brain. 2(1). 6–6. 61 indexed citations

Fukushima, Hotaka, Ryouta Maeda, Akinobu Suzuki, et al.. (2008). Upregulation of Calcium/Calmodulin-Dependent Protein Kinase IV Improves Memory Formation and Rescues Memory Loss with Aging. Journal of Neuroscience. 28(40). 9910–9919. 110 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.

Explore authors with similar magnitude of impact