Kazutaka Maeda

40 total papers · 955 total citations
19 papers, 586 citations indexed

About

Kazutaka Maeda is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kazutaka Maeda has authored 19 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kazutaka Maeda's work include Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Kazutaka Maeda is often cited by papers focused on Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Kazutaka Maeda collaborates with scholars based in Japan, United States and South Korea. Kazutaka Maeda's co-authors include Tetsuya Kamataki, Ryuji Kato, Kenji Ishii, Masayuki Shimada, Okihide Hikosaka, Yasushi Yamazoe, Kenichi Kitani, Tomoyuki Nagai, Jun Kunimatsu and Lynn D. Martin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Kazutaka Maeda

19 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kazutaka Maeda	207	169	119	103	99	19	586
Hwa‐Young Lee	83 0.4×	220 1.3×	41 0.3×	23 0.2×	86 0.9×	35	665
Paolo Magnani	82 0.4×	91 0.5×	35 0.3×	39 0.4×	86 0.9×	22	519
S. Sturman	130 0.6×	168 1.0×	43 0.4×	34 0.3×	64 0.6×	22	681
Dan Wang	36 0.2×	211 1.2×	64 0.5×	50 0.5×	110 1.1×	31	568
Yang Jin	54 0.3×	251 1.5×	20 0.2×	45 0.4×	64 0.6×	19	695
Qian Xiao	44 0.2×	251 1.5×	34 0.3×	45 0.4×	55 0.6×	24	564
Joo Han Lee	28 0.1×	223 1.3×	149 1.3×	25 0.2×	30 0.3×	24	602
Annika Wyss	97 0.5×	355 2.1×	38 0.3×	21 0.2×	57 0.6×	15	615
Barbara Gosden	55 0.3×	119 0.7×	35 0.3×	45 0.4×	26 0.3×	15	549
Xuemei Wang	106 0.5×	259 1.5×	28 0.2×	53 0.5×	90 0.9×	25	599

Countries citing papers authored by Kazutaka Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Kazutaka Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutaka Maeda

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

All Works

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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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