Jun Maeda

119 papers and 5.2k indexed citations i.

About

Jun Maeda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Maeda has authored 119 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cellular and Molecular Neuroscience, 36 papers in Molecular Biology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Maeda’s work include Neuroscience and Neuropharmacology Research (52 papers), Neurotransmitter Receptor Influence on Behavior (22 papers) and Receptor Mechanisms and Signaling (20 papers). Jun Maeda is often cited by papers focused on Neuroscience and Neuropharmacology Research (52 papers), Neurotransmitter Receptor Influence on Behavior (22 papers) and Receptor Mechanisms and Signaling (20 papers). Jun Maeda collaborates with scholars based in Japan, United States and Switzerland. Jun Maeda's co-authors include Tetsuya Suhara, Makoto Higuchi, Kazutoshi Suzuki, Nobuhisa Iwata, Takaomi C. Saido, Takashi Okauchi, John Q. Trojanowski, Virginia M.‐Y. Lee, Shu-Ming Huang and Bin Zhang and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Jun Maeda i

Fields of papers citing papers by Jun Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Maeda

Since Specialization
Citations

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

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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